NIH_SPENDING_CATS: Behavioral and Social Science;Cancer;Clinical Research;Clinical Trials and Supportive Activities;Health Disparities Research;Health Disparities and Racial or Ethnic Minority Health Research;Nutrition;Obesity;Physical Activity;Prevention;Primary Health Care;Racial and Ethnic Minority Health Research;Social Determinants of Health;Telehealth

ORG_NAME: TUFTS MEDICAL CENTER

PHR: PROJECT NARRATIVE This project will collect information about city crime levels and test whether or not crime levels have an impact on how well a weight management program works to help people lose weight. We will also conduct focus groups with residents of public housing developments who are part of a trial focused on weight management to explore how crime in their neighborhoods effects their ability to manage their weight, eat healthy, and be physically active.

PI_NAMEs: QUINTILIANI, LISA M. (contact)

PROGRAM_OFFICER_NAME: DEAN, DAVID WORTH

PROJECT_TERMS: Administrative Supplement;Award;Behavior;Behavioral;Body Weight decreased;Boston;Characteristics;Chronic Disease;Cities;Clinical Trials;Communities;Community Health Aides;Counseling;Crime;Data;Data Sources;Development;Diet;digital health;efficacy evaluation;Environment;ethnic minority;experience;Focus Groups;Health;health disparity;Health Priorities;Healthy Eating;Heterogeneity;High Prevalence;interest;Intervention;intervention effect;Intervention Trial;Link;Low Income Population;Malignant Neoplasms;mHealth;mortality;Neighborhoods;nutrition;Obesity;Obesity associated cancer;Outcome;Overweight;Parents;Participant;Perception;Persons;Physical activity;Police;Population;Prevention;programs;Public Housing;Qualitative Methods;racial minority;response;secondary outcome;Services;social;Social Environment;System;Testing;Text Messaging;Variant;Weight;Weight maintenance regimen;Work

PROJECT_TITLE: Digital Health Supported Weight Management Program Delivered by Community Health Workers Among Public Housing Residents


ADMINISTERING_IC: NS

ARRA_FUNDED: N

ED_INST_TYPE: SCHOOLS OF MEDICINE

FUNDING_MECHANISM: NON-SBIR/STTR RPGS

IC_NAME: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE

NIH_SPENDING_CATS: Acquired Cognitive Impairment;Aging;Alzheimer's Disease;Alzheimer's Disease Related Dementias (ADRD);Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD);Brain Disorders;Dementia;Neurodegenerative;Neurosciences

ORG_CITY: Los Angeles

ORG_COUNTRY: UNITED STATES

ORG_DEPT: PATHOLOGY

ORG_FIPS: US

ORG_NAME: UNIVERSITY OF SOUTHERN CALIFORNIA

ORG_STATE: CA

PHR: Mutations in the LRRK2 gene result in diverse neuropathology, including tauopathy, synucleinopathy, TDP-43 proteinopathy, and AD pathology. Defining the mechanisms by which LRRK2 mutations cause such varied prion-like pathology may lead to novel therapeutics for multiple neurodegenerative diseases. The proposed study aims to characterize the proteostatic mechanisms upstream and downstream of LRRK2 using patient-derived neurons and rare postmortem brain tissue from patients with LRRK2 mutations. We will test the ability of newly identified LRRK2 protein degradation pathways to rescue LRRK2-driven neurotoxicity and will define the molecular alterations underlying the diverse neuropathology caused by LRRK2 mutations.

PI_NAMEs: HINIKER, ANNIE E (contact)

PROGRAM_OFFICER_NAME: SARRAF, SHIREEN AKHAVAN

PROJECT_TERMS: aged;Alzheimer's Disease;Alzheimer's disease pathology;Automobile Driving;Autopsy;Biological Models;Brain;brain tissue;Cell Physiology;cell type;Clinical;cohort;Complex;CRISPR interference;Data;Defect;Degradation Pathway;Dementia;Disease;Electrophysiology (science);frontal lobe;Frontotemporal Lobar Degenerations;Gene Mutation;Genes;Goals;Guanosine Triphosphate Phosphohydrolases;Human;Immunofluorescence Immunologic;Induced Neurons;Induced pluripotent stem cell derived neurons;insight;knock-down;Lead;Lewy Body Dementia;LRRK2 gene;Measures;Mediating;Membrane;Microtubules;misfolded protein;Molecular;Mus;mutant;Mutation;Nerve Degeneration;neurodegenerative dementia;Neurodegenerative Disorders;Neurons;neuropathology;neurotoxicity;new therapeutic target;novel;novel therapeutics;Organoids;overexpression;Pathology;Pathway interactions;Patients;Phosphotransferases;prion-like;protein aggregation;protein degradation;protein TDP-43;Proteins;Proteomics;proteostasis;proteostasis loss;response;Role;screening;STEM research;Substantia nigra structure;Synapses;synuclein;synucleinopathy;System;tau aggregation;tau Proteins;Tauopathies;Testing;therapeutic target;Time;Tissues;transcriptomics;TRIM Gene;ubiquitin-protein ligase;Work

PROJECT_TITLE: Targeting proteostatic mechanisms to inhibit LRRK2-mediated neurodegeneration and neuropathology

STUDY_SECTION: CMND

STUDY_SECTION_NAME: Cellular and Molecular Biology of Neurodegeneration Study Section[CMND]


ADMINISTERING_IC: CA

FUNDING_MECHANISM: RESEARCH CENTERS

IC_NAME: NATIONAL CANCER INSTITUTE

ORG_CITY: SAINT LOUIS

ORG_DEPT: OBSTETRICS & GYNECOLOGY

ORG_NAME: WASHINGTON UNIVERSITY

ORG_STATE: MO

PHR: PROJECT NARRATIVE Endometrial cancer is more common than all other gynecologic cancers combined, and the incidence and death rates have both increased over the past 25 years. The work proposed will lead to both an improved understanding of endometrial cancer biology and new approaches to prevent and treat this disease. Additionally, this SPORE will expand the numbers of researchers dedicated to studying endometrial cancer.

PI_NAMEs: BENBROOK, DORIS MANGIARACINA;LESLIE, KIMBERLY K.;MUTCH, DAVID G (contact)

PROGRAM_OFFICER_NAME: BASA JANAKIRAM, NAVEENA

PROJECT_TERMS: Address;Affect;Aftercare;angiogenesis;anti-cancer research;Atypical Endometrial Hyperplasias;axl receptor tyrosine kinase;behavior test;biobank;Bioinformatics;Biological;Biological Process;biomarker identification;Biometry;Biopsy;Body Weight decreased;Cancer Biology;Cancer Model;Cancer Patient;Cancer Science;cancer therapy;career;Clinical;clinical practice;Clinical Trials;Collaborations;Combination Drug Therapy;Communities;Complement;Data;Data Analyses;Death Rate;Dedications;design;Development;Disease;drug development;Drug Kinetics;Early Diagnosis;early phase clinical trial;effective therapy;Endometrial Carcinoma;Endometrial Hyperplasia;Enrollment;Ensure;Equity;Fertility;fluorescence imaging;forging;Fostering;Funding;Future;Genes;Goals;Health Sciences;Heat shock proteins;Histology;Immunohistochemistry;Immunologics;improved;Incidence;Individual;inhibitor;innovation;Institution;interest;Malignant Female Reproductive System Neoplasm;Malignant neoplasm of cervix uteri;Malignant neoplasm of ovary;Malignant Neoplasms;Marriage;Measures;member;Mentors;Metabolic;metabolomics;Minority;Molecular;Molecular Chaperones;molecular marker;Mutation;New Mexico;novel;novel drug combination;novel marker;novel strategies;novel therapeutics;Obesity;Oklahoma;Pathologic;Pathology;Patient-Focused Outcomes;Patients;Population Sciences;pre-clinical;Premenopause;preservation;prevent;Prevention;Prevention strategy;Primary Prevention;Progestins;programs;Proteins;recruit;Recurrence;Research;Research Personnel;Research Priority;Research Project Grants;Research Support;Resources;response;response biomarker;Route;Scientist;Specialized Program of Research Excellence;Specimen;stable isotope;Standardization;Testing;Therapeutic;therapy outcome;TP53 gene;Translational Research;translational research program;translational study;treatment response;treatment strategy;Tumor Biology;Underrepresented Minority;Underrepresented Populations;United States;Universities;Uterus;virtual;Washington;Woman;Work

PROJECT_TITLE: Route 66 Endometrial Cancer SPORE


ADMINISTERING_IC: GM

ED_INST_TYPE: BIOMED ENGR/COL ENGR/ENGR STA

IC_NAME: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES

NIH_SPENDING_CATS: Digestive Diseases;Digestive Diseases - (Peptic Ulcer);Infectious Diseases

ORG_CITY: COLLEGE STATION

ORG_DEPT: ENGINEERING (ALL TYPES)

ORG_NAME: TEXAS ENGINEERING EXPERIMENT STATION

ORG_STATE: TX

PI_NAMEs: LELE, PUSHKAR PRAKASH (contact)

PROGRAM_OFFICER_NAME: FLICKER, PAULA F

PROJECT_TERMS: Anti-Bacterial Agents;Biological Assay;Biophysical Process;Biophysics;Cells;Chemicals;Chemoreceptors;Chemotaxis;Chemotaxis Inhibition;Coupling;desensitization;Detection;Development;Environment;Enzymes;Escherichia coli;extracellular;Flagella;Fluorescence Resonance Energy Transfer;Goals;Helicobacter Infections;Helicobacter pylori;Homologous Gene;Individual;Infection;innovation;insight;laser tweezer;Ligands;malignant stomach neoplasm;Measures;Methods;Microscopy;migration;Modeling;Motility;Motor;novel;optic tweezer;Pattern;Peptic Ulcer;Phase;Phosphotransferases;Play;Population;prevent;Proteins;receptor function;Role;Running;Signal Transduction;Standard Model;Swimming;Techniques;Work

PROJECT_TITLE: Biophysical Determinants of Chemotaxis in Helicobacter Pylori


ED_INST_TYPE: SCHOOLS OF ARTS AND SCIENCES

ORG_CITY: SANTA BARBARA

ORG_DEPT: BIOCHEMISTRY

ORG_NAME: UNIVERSITY OF CALIFORNIA SANTA BARBARA

PHR: PROJECT NARRATIVE: Peroxisomes are ubiquitous, membrane-bound organelles that cells use to compartmentalize specialized metabolic reactions. Loss of peroxisome function causes Peroxisome Biogenesis Disorders, characterized by hearing and vision loss, neurodegeneration, and liver, kidney, and bone disease. This research seeks to understand the molecular mechanisms underlying the formation of maintenance of peroxisomes and the consequence to the cell when these mechanisms go awry.

PI_NAMEs: GARDNER, BROOKE MEGHAN (contact)

PROGRAM_OFFICER_NAME: MILLER, RITA K

PROJECT_TITLE: Investigating the mechanisms of peroxisome homeostasis

STUDY_SECTION_NAME: Special Emphasis Panel[ZRG1(55)-R]


ORG_DEPT: INTERNAL MEDICINE/MEDICINE

PHR: PROJECT NARRATIVE The Asian American (AA) population in Los Angeles County (LAC) is highly diverse and growing faster than any other ethnic groups. Among AA women, breast cancer is the most commonly diagnosed cancer, with the number of new cases increasing each year significantly more than any other ethnic groups in LAC. This supplement aims to examine various factors within AA that influence disparities in care patterns and breast cancer outcomes across different AA groups with the goal of informing and developing programs to improve care and outcomes for AA women with breast cancer.

PI_NAMEs: LERMAN, CARYN  (contact)

PROGRAM_OFFICER_NAME: HE, MIN

PROJECT_TERMS: Address;Administrative Supplement;Age;American;Area;Asian;Asian Americans;Asian population;Behavioral;black women;Breast Cancer Detection;breast cancer diagnosis;cancer care;Cancer Control;cancer diagnosis;cancer health disparity;care delivery;care outcomes;Caring;Catchment Area;Cessation of life;Characteristics;Chinese;cohort;community clinic;Comprehensive Cancer Center;Continuity of Patient Care;County;Data;Death Rate;Development;Diagnosis;disparity reduction;Ensure;Ethnic Population;Filipino;follow-up;Goals;Health behavior;health care disparity;Healthcare;Heterogeneity;improved;Incidence;Inequity;Infrastructure;intersectionality;Intervention;Japanese;Knowledge;Koreans;Los Angeles;Malignant Breast Neoplasm;Malignant Neoplasms;Mammary Neoplasms;National Institute on Minority Health and Health Disparities;Not Hispanic or Latino;Outcome;Patients;Pattern;Patterns of Care;Persons;Policies;Population;Prognosis;programs;Provider;Public Health;Qualitative Methods;Quality of Care;racial population;recruit;Reporting;Research;response;Risk Factors;Role;screening;social;social factors;structural determinants;Surveillance Program;survival outcome;therapy development;Time;trend;tumor;Underrepresented Populations;United States;University of Southern California Norris Cancer Center;Variant;White Women;Woman

PROJECT_TITLE: P30 Administrative Supplement to Understand Effects of Within-Group Heterogeneity on Cancer Control Outcomes in Underrepresented Populations


ADMINISTERING_IC: DK

IC_NAME: NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES

NIH_SPENDING_CATS: Diabetes;Kidney Disease;Neurosciences

ORG_CITY: LEXINGTON

ORG_DEPT: PHARMACOLOGY

ORG_NAME: UNIVERSITY OF KENTUCKY

ORG_STATE: KY

PHR: Diabetes affects nearly 10% of US population. It is the seventh leading cause of death in the US. In this research project, we will define the contribution of a novel neuroendocrine circuit involved in glucose homeostasis. The results of this study may help us mitigate fatal events of hypoglycemia in patients with diabetes.

PI_NAMEs: CHHABRA, KAVALJIT H (contact)

PROGRAM_OFFICER_NAME: NIHALANI, DEEPAK

PROJECT_TERMS: Ablation;absorption;Adrenal Glands;Adrenergic Receptor;Affect;afferent nerve;beta-adrenergic receptor;Bilateral;Blood Glucose;blood glucose regulation;Cause of Death;Chronic;clinically significant;Corticotropin-Releasing Hormone;Data;Defect;defined contribution;Diabetes Mellitus;Enzymes;Epinephrine;Epithelial Cells;Event;Excision;Exhibits;Failure;Genes;Gluconeogenesis;Glucose;GLUT-2 protein;Glycosuria;Goals;Hypoglycemia;Hypothalamic structure;Impairment;innovation;Kidney;knock-down;Knock-out;Knockout Mice;Life;Link;Longitudinal Studies;mad itch virus;Mediating;Melanocortin 4 Receptor;Messenger RNA;Molecular;mouse model;Mus;Nerve;neural;Neurons;Neurosecretory Systems;Non-Insulin-Dependent Diabetes Mellitus;novel;Pathway interactions;Patients;Peripheral;Pilot Projects;Plasma;Plasma Enhancement;Population;Pro-Opiomelanocortin;Probability;Proximal Kidney Tubules;Publishing;Reagent;Regulation;Reporting;Research Project Grants;response;restoration;Role;Signal Transduction;SLC2A1 gene;small hairpin RNA;Source;System;Testing;Work

PROJECT_TITLE: Role of Hypothalamic MC4R in Glucose Homeostasis via a Novel Neuroendocrine Circuit involving the Kidneys and Adrenal Glands

STUDY_SECTION: POMD

STUDY_SECTION_NAME: Pathophysiology of Obesity and Metabolic Disease Study Section[POMD]


ADMINISTERING_IC: AI

FUNDING_MECHANISM: NON SBIR/STTR CONTRACTS

IC_NAME: NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES

NIH_SPENDING_CATS: HIV/AIDS;Infectious Diseases;Prevention;Sexually Transmitted Infections;Topical Microbicides

ORG_CITY: KENSINGTON

ORG_NAME: ADVANCED BIOSCIENCE LABORATORIES, INC.

ORG_STATE: MD

PI_NAMEs: SILVERA, PETER  (contact)

PROJECT_TERMS: Acquired Immunodeficiency Syndrome;AIDS prevention;anti-HIV microbicide;Cells;Clinical Trials;Development;Dose;Drug Kinetics;HIV Infections;inhibitor;Licensure;Liquid substance;Macaca mulatta;microbicide;National Institute of Allergy and Infectious Disease;Nucleosides;Oral Administration;Persons;Pharmaceutical Preparations;Pharmacodynamics;Play;pre-clinical;pre-exposure prophylaxis;prevent;Prevention;Prevention strategy;Preventive vaccine;research clinical testing;Resources;RNA-Directed DNA Polymerase;Role;Sampling;sexual HIV transmission;SIV;Technology;Tissues;United States National Institutes of Health;Work

PROJECT_TITLE: Characterization of the Pharmacokinetic/Pharmacodynamic (PK/PD) Profile of a Candidate HIV Prevention Drug in Rhesus Macaques


ADMINISTERING_IC: VA

IC_NAME: Veterans Affairs

ORG_CITY: MIAMI

ORG_NAME: MIAMI VA HEALTH CARE SYSTEM

ORG_STATE: FL

PHR: Spinal cord injury (SCI) affects more than 1.25 million Americans (CDRF Foundation), being a major health care cost and social burden that currently lacks an effective therapy clinically. SCI-induced inflammation, secondary tissue damage, scarring and regeneration failure contributes to a permanent loss of function chronically. The proposed study aims to develop a novel therapeutic approach employing exosomal vesicles purified from disparate glial cell such as microglia and Schwann cells to promote protection, regeneration and functional improvements in established murine models of sub-acute SCI.

PI_NAMEs: GHOSH, MOUSUMI  (contact)

PROJECT_TERMS: Address;Adult;Affect;American;angiogenesis;Anti-Inflammatory Agents;astrogliosis;Autonomic Dysfunction;axon growth;axon regeneration;Behavior assessment;Binding;Cardiovascular Diseases;Cell Culture Techniques;Cell Differentiation process;Cell Survival;Cell Therapy;Cell Transplantation;cell type;Cells;Chimeric Proteins;Chronic;Cicatrix;Clinic;Clinical;Clinical Treatment;Clinical Trials;comparative;comparative effectiveness;Consensus;Contract Services;Creativeness;Cyclic AMP;Development;Differentiation and Growth;Disparate;effective therapy;efficacy evaluation;Encapsulated;Endocytic Vesicle;engineered exosomes;Engineering;Environment;Exhibits;exosome;experimental study;Failure;Foundations;functional improvement;functional restoration;Future;gait examination;Gene Expression;gliogenesis;Goals;Growth;Harvest;Health Care Costs;Human;Immune;Immune system;Immunologics;Immunosuppressive Agents;implantation;improved;In Vitro;in vitro Assay;in vivo;in vivo evaluation;infancy;Inflammation;Innate Immune Response;Interleukin-4;Intervention;Investigation;Knowledge;Label;Locomotion;loss of function;Measurement;Mesenchymal Stem Cells;Methodology;Microglia;microRNA delivery;MicroRNAs;migration;Modality;motor control;mouse model;myelination;nanoscale;nanosized;nanovesicle;Natural regeneration;Nature;nerve stem cell;neural;neurogenesis;Neuroglia;neuroinflammation;Neurologic Deficit;Neurologic Dysfunctions;neuronal survival;Neurons;neuroprotection;novel therapeutic intervention;Nucleic Acids;Peptides;Persons;Pharmaceutical Preparations;Play;Population;programs;Proliferating;Proteins;Ramp;Recovery;Recovery of Function;regeneration potential;regenerative therapy;repaired;reparative capacity;Repression;restoration;restorative treatment;Role;Schwann Cells;Signal Transduction;small molecule;social;Source;Spinal cord injury;Spinal cord injury patients;stem;stem cell fate;Stroke;targeted delivery;Testing;Therapeutic;Thoracic spinal cord structure;Time;Tissues;transcriptome sequencing;Translating;United States;vector;Vesicle;vesicular release;Veterans

PROJECT_TITLE: Exosomal vesicles for neuroprotection and repair after SCI

STUDY_SECTION: RRDS

STUDY_SECTION_NAME: Rehabilitation Research and Development SPiRE Program[RRDS]


ADMINISTERING_IC: EB

FUNDING_MECHANISM: OTHER RESEARCH-RELATED

IC_NAME: NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING

NIH_SPENDING_CATS: Aging;Bioengineering;Biomedical Imaging;Brain Disorders;Breast Cancer;Cancer;Cerebrovascular;Data Science;Dental, Oral, and Craniofacial Disease;Lung;Machine Learning and Artificial Intelligence;Networking and Information Technology R&D (NITRD);Neurosciences;Prevention;Rare Diseases;Stroke;Women's Health Research

ORG_CITY: IKEJA

ORG_COUNTRY: NIGERIA

ORG_FIPS: NI

ORG_NAME: LAGOS STATE UNIVERSITY TEACHING HOSPITAL

PHR: Project – Supplementary Grant for DATICAN Title: Data Management and Compute Platform for Data Science Training - 1. Aim of this Supplementary Grant Request This supplementary grant request aims to increase data management and data sharing infrastructure amongst three African Institutions. These African institutions are members of DS-I Africa through DATICAN, a UE5 project funded by NIH. The full meaning of DATICAN is Data Science and Medical Image Analysis Training for Improved Health Care Delivery in Nigeria 2. The aim of the Parent Project called DATICAN The main aim of DATICAN is to build capacity in Data Science and medical image analysis. DATICAN is a collaborative effort amongst 4 universities, 3 in Nigeria and 1 in the USA, these are Lagos State University, The University of Ibadan, Redeemer’s University and The University of Chicago. The project is funded for 3 years from September 2023 to September 2026. 3. Measurable and Obtainable Objectives of DATICAN DATICAN’s overarching objective is to produce a new generation of data scientists possessing the requisite data science skills in medical image analysis and the potential to become the clinical research leaders needed to improve healthcare delivery in sub-Saharan Africa (SSA). Our specific objectives are as follows.  1. Train participants in the use of Python and specific libraries, e.g., scikit-learn, pandas, pytorch, tensorflow  and keras.  2. Equip participants with practical skills required for extracting diagnostic information from medical images  and related medical data.  3. Train participants on how to define new biomedical research problems and hypotheses.  4. Train participants on how to identify the appropriate machine learning model or technology for solving a  particular biomedical research problem.  5. Train participants on organization, processing and management of large medical data.  6. Train participants on ethical issues and responsible conduct in biomedical research.  7. Create a repository of data and teaching materials during the training that will subsequently be open and  accessible to other researchers; that is, FAIR - Findable, Accessible, Interoperable and Reusable. 4. The Current Status of DATICAN  Project implementation started immediately after receiving the award letter in September 2023. The following  is a summary of the progress so far  a. Recruitments of Trainees. We started by recruiting the trainees proposed for year 1 of the project. We  were able to recruit 36 participants, comprising 12 PhD students, 12 MSc students, 6 postdocs and 6  Faculties. We achieved 100% of the recruitment target for year 1.  b. Training of PG students, Postdocs and Faculty. This is ongoing, conducted by UChicago colleagues  c. Training of Secondary School Students. This is ongoing. Conducted by Nigerian trainers  d. Hackathon in Lagos. This was held in the first week of April 2024. It was very successful and the  feedbacks were very positive. 5. Justification for Supplemental Project  The focus of DATICAN is to produce a new generation of data scientists who will be able to use their skills  to improve healthcare delivery in SSA. There are 3 major requirements for achieving this, these are the  relevant skills set, local data peculiar to the SSA and computational resources.  1 a. Relevant skills set in Data Science and Medical Image Analysis. Our partner in the USA has  commenced training towards meeting the skills set requirement. The training started in  December 2023 as virtual classes. They visited Nigeria in the first week of April 2024 to conduct  practical physical and hands-on training. They will also be training the Nigerian trainers in  Chicago in the third week of April. The Nigerian trainers were visiting UChicago when this  supplementary grant application was submitted, to receive hands-on training through the  training-the-trainer programme organized by UChicago. These Nigerian trainers will take over  the training responsibilities from our USA partner in the second year of the project. This  approach was to allow Nigerians to take charge and own the training thereby making the project  sustainable. With the progress so far, we are optimistic that DATICAN already has the potential  to bridge the skill gap in data science with application in medical image analysis. b. Local Data and Repository. Irrespective of the skill sets of our trainees, it will be impossible for  those skills to give good products that could help to improve healthcare delivery without access  to local data. This is because data science and Artificial Intelligence technologies are data-  driven and African data is unique because of many factors, such as lifestyles and genetic  compositions. Through our partnership with some teaching hospitals in Nigeria, we have  identified some medical imaging data like Magnetic Resonance Images, Computed  Tomography, Mammograms, Ultrasound, X-Rays, etc. We have collected some of these  imaging data and stored them on our hard disk. We were excited to see that there are hundreds  of thousands of medical imaging data available in Nigeria. We planned to build a repository for  these images, but unfortunately, the data are unstructured, un-curated and some of them are  even unlabelled. This implies that the data are not in a useful form. We need data common to  collect and store de-identified data from our partnering hospitals. The data will be used for  training and for implementing the different projects to be executed by our trainees. We also  need a platform that is Health Insurance Portability and Accountability Act (HIPAA) - compliant  to avoid violation of the privacy and security of the data. Our number one priority in this  supplementary project is to extend DATICAN to include data curation and proper data  management, this is to make data sharing amongst the three institutions possible. The data  curation will contain the following stages  1) Data Collection and Data Integration. This will require visiting 5 teaching hospitals that  we currently partner with. University College Hospital Ibadan (UCH), Lagos State  University Teaching Hospital (LASUTH), Obafemi Awolowo University Teaching Hospital  (OAUTH), Afe Babalola University (ABUAD) and University of Lagos Teaching Hospital  (LUTH). The data were acquired for different purposes and using different protocols but  most of them are in dicom formats. We will arrange and integrate them based on the  clinical conditions, image modalities, anatomy and diagnosis  2) Data Cleaning. The datasets are unstructured and contain a mixture of modalities and  anatomy. We will need to separate them, remove dirty data and sort them into a usable form  3) Data Labelling. Most of the images do not have diagnosis information. We will work with  the medical experts to supply diagnosis information and then label the images appropriately  4) Data Anonymization. All the datasets contain patient’s information. We will need to  write computer programs to anonymize the data before use.  5) Data Storage. All cleaned, well sorted and anonymized data will be stored in a  dedicated server.  6) Local Repository development. The dataset will be used to build a repository. This will  be the first repository containing Nigerian medical images. We anticipate that the  repository will contain about 10,000 medical images of different modalities, anatomy and  from different sites within Nigeria. We will make efforts in the future to secure grants to  extend the repository to contain more images. c. Computational Resources. Application of Data Science and AI technologies in medical image  analysis requires access to compute infrastructure such as High-Performance Computing (HPC)  with Graphic Processing Units (GPUs). This is mainly because medical images are huge and 2 processing them on CPU alone is not feasible, most especially when training large volumes. Our original plan was to leverage the HPC of our USA partner, the University of Chicago (UChicago). We have submitted a request to UChicago for all our trainees to be given access to the HPC of UChicago. We got the approval in March 2024 and DATICAN-LAB has been created for us. All our trainees now have access to the HPC of UChicago. This is, obviously, a great achievement for us and we are grateful to UChicago and NIH for this unique opportunity given to Nigerians through DATICAN. The downside of this is the lack of sustainability and scalability. The lifespan of DATICAN is 3 years, so what happens to our trainees in terms of access to HPC after DATICAN? The only way forward is for us to have our own HPC. Additionally, the skills acquired by our trainees will be useless if they do not have access to computational resources similar to the ones that we are currently training them on. Our number two priority in this supplementary project is to acquire an HPC with a GPU that will be housed in a secured data center in LASUTH and accessible to all partnering institutions. A desktop system equipped with GPU will also be procured at the training location at LASUTH for faster data processing and visualization. 6. Science Drivers and Use Cases 6.1 Case Study DATICAN currently has 36 trainees, comprising of PhD students, MSc students, postdocs and early career Faculties from 3 Universities. An additional 36 participants will be recruited in years 2 and 3 of the project. Each of the current participants has a project focusing on using data science technology and medical image analysis skills to solve health-related problems in Africa. All the projects require access to African medical data and an HPC. Please see Table 1 for the list of project topics of the current 36 trainees. The topics cover patients with breast cancer, stroke, pulmonary tumour, cervical cancer, lung cancer, sickle cell anaemia, stroke, tooth problems, skin cancer, dementia, tuberculosis, prostate cancer and traumatic brain injury using diverse imaging modalities like MRI, ultrasound, mammogram, Computed Tomography and X-rays images. We have data available at 5 teaching hospitals that we currently partnering with us, these are University College Hospital (UCH), LASUTH, OAUTH, ABUAD and LUTH. These data were acquired after securing the Institutional Review Board (IRB). The data were acquired for different clinical conditions and using different protocols but most of them are in dicom formats. We have collected about 2000 of these datasets already. 6.2 Sample Use Cases We have 36 use cases but we will explain two here. First, one of our trainees is working on the detection of hyperacute and acute staged ischemic brain stroke and his focus is to use MRI images. We already have about 1000 images of brain MRI. To execute this project, the trainee will need to collect the brain MRI images from DATICAN. Then clean, anonymize, and use it to build his deep learning model. Then the raw data and processed data will be curated. The trainee will be supported by the data Curator and Radiologist to be hired as part of this project. The data curator will help with data cleaning, anonymization and curation while the radiologist will help with labelling. Another example is about a trainee working on the early detection of breast cancer using machine learning techniques. We have already collected about 1000 mammogram images. The trainee will collect the data from us. Then clean, anonymize, and use it to build his machine learning model. Then the raw data and processed data will be curated. The trainee will be supported by the data Curator and Radiologist to be hired as part of this project. The data curator will help with data cleaning, anonymization and curation while the radiologist will help with labelling. 6.3 Data Curation and Integration 3 The current dataset are not labelled, not anonymized and not curated. We will get the data labelled, cleaned, anonymized and curated. We will also integrate the data because they come from different succes and for different purposes. We will build a repository with a user interface to allow easy search and querries. Table 1: Use cases for DATICAN Trainees  Name Uni Degree in View Use Case 1 Adebowale, Ahmed Adedayo LASU PhD Improved Detection of Hyperacute and Acute Staged Ischemic Brain Stroke using Medical Imaging and Deep Learning Approach. 2 Azeez, Rahman Diekola LASU PhD Enhancing CNN-Based Pulmonary Tumor Detection using Generative Adversarial Networks (GANs) for Low-Quality Medical Imaging Data 3 Salami-Ohida, Sefiyat Oyiza LASU PhD Development of Machine learning model for cervical cancer detection using ultrasound images 4 Tijani, Rukayat Adetoun LASU PhD Predictive Modeling for High-Risk Lung Cancer Patient Identification 5 Oluwole Olajide UI PhD Leveraging Data Science and Medical Images Techniques to Enhance Early Diagnosis and Treatment of Sickle Cell Anemia (SCA) 6 Adebiyi Yemisi UI PhD An improved Region-Convolution Neural Network (RCNN) Detection Algorithm for Breast Cancer from Medical Images. 7 Ogunseye Elizabeth UI PhD Multi-label Classification and Severity Evaluation in Clinical and Medical Image Data using Deep Learning 8 Augustine Onyekwelu UI PhD Automated Detection, Localization, and Classification of Haemorrhagic Stroke using 9 Otun, Yetunde Deborah RUN PhD Development of deep learning models for early detection of breast cancer in women 10 Olorunfemi, Blessing Oluwatobi RUN PhD Integration of Deep Learning Models, and Sequential Ensemble Methods for Early Detection and Classification of Breast Cancer 11 Alu, Micheal Damilola RUN PhD Early Detection of Breast Cancer in Nigerian Women: A Multi-Modal Imaging Approach with Deep Neural Network 12 Awoniran, Temitayo RUN PhD Development of a Deep Learning Model for Breast Cancer Prediction in Nigerian women. 13 Olabayo, Oluwasegun LASU MSc Revolutionizing Tooth Decay Detection With Analytics: The Advancements In Early Intervention And Paradigm Shift In Monitoring Progression 14 Charles, Edward LASU MSc Data Analysis for Early Detection of Breast Cancer in Nigeria: The Advancements in Early Intervention and Monitoring Progression 15 WHETO, Paul LASU MSc Computational model for generating synthetic brain medical data 16 KAREEM, Wahab LASU MSc Medical image analysis using artificial intelligence (AI): Image retrieval (finding anomalies, such as brain tumors) A Case Study of Lagos State University Teaching Hospital 4 17 Oke, Monday Whenayon UI MSc Deep Learning Approach on Low-Resolution CT images in Resource-Constrained 18 Akintola, Mayode Mercy UI MSc Modeling a Machine Learning Mechanism for the Detection and Classification of Skin Cancer 19 Akinola Marvellous Timothy UI MSc A Localized Chest X-Ray Imaging Repository for Enhanced Predictive Healthcare 20 Ola Ayokunle Joshua UI MSc Development of a Predictive Deep Learning Model for Enhanced Breast 21 Adegoke, Ayomide David RUN MSc Development of an Ensemble of Deep Neural Networks for Early Detection of Breast Cancer Using Multi-Modal Imaging. 22 OYETUNDE, Oluwabukunmi RUN MSc Automated brain tumor segmentation in MRI images using transfer learning 23 Oyekunle, Isaac Olusegun RUN MSc Computational model for generating synthetic brain medical data 24 Amore, Oluwaseun RUN MSc Design and Implementation of Early Breast Cancer Detection System Using Computer Vision. 25 Kehinde Sotonwa Faculty LASU Development of a Deep Learning Model using Biomarkers for Digital Pathology 26 Hanat Raji-Lawal Faculty LASU Dementia Prediction and Detection Using Machine Learning Techniques 27 Mauton Asokere Faculty LASU Development of a Deep Learning Model for predicting Prostate cancer using Digital Pathology Images 28 Ayodele Oloyede Faculty LASU Multilabel Concepts Detection in Large Biomedical Images 29 Babatunde Ayinla Faculty UI Panoptic Multiorgan Multi-Climate Medical Image Analysis for Abnormality Detection Using CNN 30 Kadijat Ladoja Faculty UI Improved Machine Learning Model for Skin Cancer Classification 31 Oludele Adeleke Faculty UI Disorder(ASD) and traumatic brain injury diagnosis 32 Oladimeji Arowolo Faculty UI Development of Deep Learning Models for Tuberculosis Detection on Chest x-Ray Images 33 Adenike Adegoke Elijah Faculty RUN Deep Learning Approach for The Classification of Infective Pneumonia Using X-Ray Data 34 Toluwase Olowookere Faculty RUN Investigating the Few-Shot Learning Approach in the Classification and Detection of Rare Dental Conditions and/or Oral Cancers in Nigeria Using Dental X-Ray Imaging Data 35 Theresa O. Ojewumi Faculty RUN Development of a pneumonia disease detection system using Convolutional Neural Networks 36 Idowu Oyetade Faculty RUN Stroke Detection Using MRI Images and Deep Learning Note. LASU = Lagos State University, RUN= Redeemer’s University, UI=Universirty of Ibadan 7. Proposed Needs for Data Curation and Computational Resources 5 a. We need 2 Information Technology (IT) experts to help with data curation and anonymization. They will  have BSc. Degree in IT related field. The 2 people will be hired for 1 year, 2024 to 2025 and will work  under the direct supervision of the PI for DATICAN. Their main responsibilities will be 1) Data cleaning 2) Data anonymization 3) Data curation 4) Data storage 5) Repository development 6) Development of pipeline for 1 to 4 above 7) Development of data request policy to enhance seamless data sharing b. We need two radiologists to help with the labelling of the images. The Radiologists must be interested  in research and be willing to support our trainees. The right candidates will be early career persons at  each site who will work under the direct supervision of the MPI in Ibadan. He/She will be hired for 1  year, 2024 to 2025. c. Computational Resources 1) GPU server and central storage i. A node with 2 GPUs ii. (A network attached storage: ~100-200 TB => supported by DATICAN budget ) 2) Desktop with a commodity grade GPU 3) Note that the hardware will be procured with a minimum of 3-year hardware warranty and support  for stability of services 8. Timelines Implementation of this supplemental project will commence upon funding of the project. The project is to cover 1 year and the time plan is given in Table 2. In summary, we will start by recruiting the technical staff and purchasing the requested hardware. These will be followed by the data collection, data cleaning, anonymization, etc. The project is planned for 1 year. Table 2. Activity Plan SN Deliverables Qtr 1 Qtr 2 Qtr 3 Qtr 4 1 Recruitment of IT experts and Radiologist X  2 Procurement of GPU X X X  3 Data Collection X X  4 Data Cleaning X X  5 Data Anonymization X X X 6 Data curation X X X 7 Data Storage X X X 8 Repository development X X 9 Development of pipelines for Data Engineering X 10 Development of data request policy to enhance seamless data sharing X 6 9. Personnel 9.1 Program Director / Principal Investigator at LASU Benjamin Aribisala, PhD - LASU, Nigeria (PI) - Professor of Computer Science, a data scientist and a medical image analyst. He has held many high-profile administrative positions in the University. For example, he was the Dean of Faculty of Science and former member of the governing council of Lagos State University. He was also a member of the Technical Advisory Board of African Open Science, Chairman of the Computer Science and the immediate past Director of Information Communication Technology (ICT) directorate. He led the committee that developed policies for the University, E.g., examination policy, revised promotion policy and automated promotion process in Lagos State University. He obtained his PhD degree in Computer Science from the University of Birmingham, UK and worked as an academic staff in 2 Universities in the UK before going back to Nigeria. He has over 28 years of teaching and research experience out of which about 11 were in leadership positions. He has supervised many PhD students and mentored many faculties. Some of his ex-students are now full professors. He has more than 100 peer reviewed papers published at reputable journals including nature. According to google scholar, he has been cited more than 8000 times in more than 80 countries. He has been awarded a number of grants, for example grants by British Council, Federal Government of Nigeria, Lagos State and IBM. He has served as an accreditation team member at national level and has led many training and mentoring programs, for example, he collaborated with Catania University in Italy in 2017 to organize Hackfest on development of e-infrastructure and science gateway in Nigeria. Benjamin was a Fulbright Scholar at the University of Chicago as a visiting professor in 2022 when DATICAN was conceived. The visiting position at the University of Chicago gave him the opportunity to work closely with the faculties, have access to health data, have access to computational resources and to set up the team for the DATICAN project. 9.2 Principal Investigators at UChicago, RUN, and UI 1. Alexander Pearson, MD, PhD - UChicago, USA (PI) – Earned multiple degrees in statistics and pursued  post-doctoral work combining cancer biology and applied mathematics. He runs a multi-disciplinary  systems biology research group to develop new computational precision oncology approaches for patient  care. His primary appointments are in the Section of Hematology/Oncology, joint appointments in the  Section of Computational Biomedicine and at Argonne National Laboratory. He is the Director of the Head  and Neck Cancer Program and Director of Data Sciences in the Section of Hematology/Oncology. 2. Adenike Adeniji-Sofoluwe, MBBS, FWACS, FMCR, MS - UI, Nigeria (PI) – Senior Lecturer in Radiology  and director of the radiology residency training program at the University College Hospital, Ibadan. She is  one of the most experienced breast radiologists in the Nigerian breast cancer study group and the  genomics group at UI. 3. Happi Christian (PI) . He is a professor of molecular biology and has a lot of experience in project  management and training. We we leverage on his experience from his ongoing project on antimicrobial  study for treatmentment of infectious diseases. He will provide some data which will be useful for training  on infectious diseases. He will also provide guideance when necessary. 9.3 Co - Investigators at UChicago, RUN, and UI Olufunmilayo (Funmi) I. Olopade, MBBS, FACP – UChicago, USA (Co-I) – is the Chair of the Steering Committee for DATICAN. She is the Walter L. Palmer Distinguished Service Professor of Medicine and Human Genetics, and Dean for Global Health at the UChicago. Olopade is Program Director for NCI funded R25, T32 and K12 grants at UChicago. As a hematologist/oncologist, she has led teams of interdisciplinary researchers in conducting research on genomic determinants of breast cancer in women of African ancestry in the U.S. and internationally. The Doris Duke Charitable Foundation has recognized Olopade as a Distinguished Clinical Scientist and Exceptional Mentor. She is committed to fostering the careers of others and to helping the UChicago strengthen its international reputation as a leader in academic medicine by mentoring the next generation of global leaders in biomedical research. Godwin Ogbole, MBBS, FMCR, FWACS, MSc, MRP, MSCI - UI, Nigeria (Co-I) - A neuroradiologist, medical image analyst and clinician, Ogbole has wealth of experience in clinical research related to neuropsychological conditions using MRI, CT and X-ray. He has been involved in coordinating imaging seminars and  7 interdisciplinary brain workshops in Nigeria's largest teaching hospital and the West African sub region for the past ten years. These were designed to optimize care and imaging intervention in resource-poor settings to foster prevention and mitigation of non-communicable diseases through research and education. As regional Secretary of the Society for Brain Mapping and Therapeutics in Nigeria, he is building a platform for developing capacity in advanced brain imaging analysis techniques. Steffen Sammet, MD, PhD, DABR, DABMRS, FAMP - UChicago, USA (Co-I) - Professor of Radiology and Medical Physics, Director of Clinical MR Physics, Vice Chair of the Point of Care Ultrasound Council, is a physician and board-certified medical physicist by the American Board of Radiology with 25 years of experience in medical imaging. Hakizumwami Birali Runesha, Ph.D., USA (Co-I) – Associate Vice President for Research Computing and founding Director of the University of Chicago Research Computing Center (RCC) with more than 28 year of expericience in High Performance Computing, data science and application software development. His research interests are in sparse numerical libraries, AI/Deep learning, and reproducibility of scientific research. He was the PI of the NSF award for the Acquisition of a Data lifecycle Instrument for the Management and Sharing of Data from instruments and observations (Award # 162552) and the Research Data Management implementations: Impact on Science (RDMI) (Award #1661523). Abiodun Adewuya, MBChB, FWACP, FMCPsych, MPH, MD - LASU, Nigeria (co-I): Prof. Adewuya is a professor of public mental health and consultant in psychiatry research at the Federal Neuropsychiatric Hospital Yaba, Lagos. He has served as the current provost of the College of Medicine in LASU. He is currently a member of the governing council of LASU and a member of the board of directors of the College of Medicine in LASU. 3.4 Collaborators – Current PIs of DS-I Africa in Nigeria Mayowa Owolabi is the PI of the DS-I Africa project called GRASP (Growing Data-science Research in Africa to Stimulate Progress). GRASP is a capacity building project and the focus is on data science and image analysis of the brain. He is a Professor of neuroradiology and one of the topmost experts on stroke in Africa. He has thousands of MRI and CT images. GRASP and DATICAN will benefit from the proposed repository. Professor Temidayo Ogundiran is the PI of the DS-I Africa Consortium in UI. He is also the dean of UI’s college of Medicine. He is a clinician with an interest in ethics and legal issues in clinical studies. We will leverage his experience from his ongoing project on ethical and legal issues on data science studies. He will provide some training materials on ethical and legal issues, most especially as it relates to Nigeria. He will also provide guideance when necessary. 10. Conclusion  The NIH-funded capacity building project in Africa is a collaborative project between LASU and two Nigerian  universities (RUN and UI) and with UChicago. The project is funded for 3 years from 2023. Project  implementation started in September 2023 and we have achieved all the deliverables proposed for the first  2 quarters of the first year. While collecting data needed for the training and the use cases, we discovered  that the medical imaging data are unstructured and not in a usable form. We also discovered that there is an  urgent need for computational resources. We hereby request for funds for data curation and the purchase of  computational resources. We strongly believe that both the computational resources and repository will be  useful not only for the member institutions of DATICAN, but for all data scientists and clinicians interested in  using AI and data science technologies to improve healthcare delivery in Africa. 8

PI_NAMEs: ADENIJI-SOFOLUWE, ADENIKE TEMITAYO;ARIBISALA, BENJAMIN SEGUN (contact);HAPPI, CHRISTIAN T.;PEARSON, ALEXANDER THOMAS

PROGRAM_OFFICER_NAME: LASH, TIFFANI BAILEY

PROJECT_TERMS: Abdomen;Accreditation;Achievement;Acute;Africa;Africa South of the Sahara;African;African ancestry;African Women;Algorithms;American;Anatomy;antimicrobial;Applications Grants;Appointment;Artificial Intelligence;Award;Back;biomedical imaging;Biomedical Research;Board Certification;Body part;Brain;Brain hemorrhage;Brain imaging;Brain Ischemia;brain magnetic resonance imaging;Brain Mapping;Brain Neoplasms;Breast;Breast Cancer Early Detection;Breast Cancer Model;British;Budgets;Cancer Biology;cancer classification;Cancer Detection;Cancer Patient;career;Caring;Case Study;Chairperson;Charge;Chicago;Classification;Climate;Clinical;clinical imaging;Clinical Research;Collaborations;college;Communicable Diseases;Communication;computational platform;Computer Models;computer program;computer science;Computer Vision Systems;computerized data processing;computing resources;convolutional neural network;Country;Cowpox;Data;Data Analyses;data anonymization;data centers;data cleaning;Data Collection;data curation;data de-identification;Data Engineering;data integration;data management;data pipeline;data repository;Data Science;Data Scientist;Data Security;Data Set;data sharing;Data Storage and Retrieval;data visualization;Dedications;deep learning;deep learning model;deep neural network;Dementia;Dental;Dental caries;design;Detection;detection platform;Development;Diagnosis;Diagnostic;Digital biomarker;digital pathology;Disease;Doctor of Philosophy;doctoral student;Early Diagnosis;Early Intervention;Early treatment;early-career faculty;Education;Educational process of instructing;Educational workshop;Ethical Issues;Ethics;Evaluation;experience;Faculty;FAIR principles;Federal Government;Feedback;Fostering;Foundations;Funding;Future;Generations;generative adversarial network;Genetic;Genomics;global health;Grant;hackathon;Head and Neck Cancer;Health;health care delivery;health data;Health Insurance Portability and Accountability Act;Healthcare;Hematologist;Hematology;High Performance Computing;high risk;High School Student;Hospitals;Human Genetics;Human Resources;Image;Image Analysis;image archival system;imaging approach;imaging modality;Imaging Techniques;improved;Individual;Information Technology;Infrastructure;Institution;Institutional Review Boards;instrument;interest;International;Interventional Imaging;Italy;Joints;Journals;Knowledge;Label;Laboratories;Leadership;Learning;lecturer;Legal;Letters;Libraries;Life Cycle Stages;life span;Life Style;Liver;Location;Lung;Machine Learning;machine learning model;Magnetic Resonance Imaging;Malignant Breast Neoplasm;malignant mouth neoplasm;Malignant neoplasm of cervix uteri;Malignant neoplasm of lung;Malignant neoplasm of prostate;Mammography;Mathematics;Measurable;Medical;Medical Imaging;Medicine;meetings;member;Mental Health;Mentored Clinical Scientist Development Program;Mentors;Methods;Modality;Modeling;Molecular Biology;Monitor;multidisciplinary;Multimodal Imaging;Names;Nature;neuropsychiatry;Neuropsychology;next generation;Nigeria;Nigerian;Oncologist;Oncology;open data;Organ;Paper;parent project;Participant;pathology imaging;Patient Care;Patients;Peer Review;Persons;Physicians;Physics;Pneumonia;point of care;Policies;Positioning Attribute;Postdoctoral Fellow;precision oncology;predictive modeling;Prevention;Principal Investigator;Privacy;Process;professor;programs;Protocols documentation;Psychiatry;Publishing;Pythons;radiologist;Radiology Specialty;recruit;repository;Reproducibility;Research;Research Personnel;Residencies;Resolution;Resource-limited setting;Resources;Retrieval;Roentgen Rays;Running;Sampling;Science;Scientist;Secure;senior faculty;Services;Severities;shot learning;Sickle Cell Anemia;Site;skill acquisition;skills;Skin Cancer;Societies;software development;Sorting;statistics;Stroke;Structure;student training;Students;Supervision;System;Systems Biology;Teaching Hospitals;Teaching Materials;Techniques;Technology;TensorFlow;Therapeutic;Thoracic Radiography;Time;timeline;Tooth structure;Trainers Training;Training;Training Programs;transfer learning;Traumatic Brain Injury;Tuberculosis;tumor;Ultrasonography;ultrasound;United States National Institutes of Health;Universities;unstructured data;usability;virtual;Visit;Woman;Work;Writing;X-Ray Computed Tomography;X-Ray Medical Imaging

PROJECT_TITLE: Data Management and Compute Platform for Data Science Training - Supplementary Grant for DATICAN

STUDY_SECTION_NAME: Special Emphasis Panel[ZRG1(70)-R]


NIH_SPENDING_CATS: Breast Cancer;Cancer;Clinical Research;Precision Medicine;Women's Health Research

ORG_CITY: MADISON

ORG_DEPT: SURGERY

ORG_NAME: UNIVERSITY OF WISCONSIN-MADISON

ORG_STATE: WI

PHR: PROJECT NARRATIVE Outcomes for early and locally advanced breast cancer have improved recently but to achieve these, many patients with breast cancer are often over-treated. Current tests don't have adequate sensitivity to identify patients with microscopic disease who need prolonged treatments and spare others who have been already cured with less aggressive therapy. We have developed a blood test approach to address this gap and in this project, we will evaluate its performance to detect mutated cancer DNA shed in blood samples during and after treatment.

PI_NAMEs: MURTAZA, MUHAMMED  (contact)

PROGRAM_OFFICER_NAME: OSSANDON, MIGUEL

PROJECT_TERMS: Address;Adjuvant;Adjuvant Therapy;advanced breast cancer;Aftercare;aggressive therapy;Archives;Biological Assay;Biological Markers;Biopsy;Blood specimen;Blood Tests;Blood Volume;cancer cell;circulating biomarkers;Clinical;Clinical Data;Clinical Trials;clinically relevant;Complement;design;Detection;detection limit;Detection of Minimal Residual Disease;Diagnostic;diagnostic strategy;digital;Disease;Disease Progression;Disease-Free Survival;DNA;DNA analysis;Drops;Early treatment;Enrollment;Ensure;Estrogen receptor positive;Excision;exome sequencing;follow-up;Goals;Histopathology;Image;improved;improved outcome;In complete remission;Individual;Literature;Malignant Breast Neoplasm;Malignant Neoplasms;Measures;Metastatic breast cancer;Methods;Microscopic;Molecular;Monitor;Mutate;Mutation;Neoadjuvant Therapy;No Evidence of Disease;Operative Surgical Procedures;Outcome;overtreatment;Paraffin Embedding;Pathologic;Patients;Performance;personalized medicine;Phase;Phenotype;Plasma;portability;Postoperative Period;Prediction of Response to Therapy;preservation;Process;Prognostic Marker;prognostic value;prospective;Radiology Specialty;Recurrence;Reproducibility;Residual Neoplasm;response;Sampling;Signal Transduction;Somatic Mutation;Specificity;survival outcome;Testing;Therapeutic;Tissues;treatment optimization;treatment planning;treatment response;tumor;Tumor Cell Line;tumor DNA;Tumor Tissue;Validation

PROJECT_TITLE: Treatment monitoring in early and locally advanced breast cancer using circulating tumor DNA analysis


FUNDING_MECHANISM: SBIR-STTR RPGS

NIH_SPENDING_CATS: Bioengineering;Biotechnology;Brain Cancer;Brain Disorders;Cancer;Immunotherapy;Nanotechnology;Neurosciences;Orphan Drug;Rare Diseases

ORG_CITY: BOZEMAN

ORG_NAME: NANOVALENT PHARMACEUTICALS, INC.

ORG_STATE: MT

PHR: Project Narrative Toxicity of drugs used to treat cancer is the major limiting factor in effective chemotherapy; collateral damage to bone marrow and other normal tissues limits the amount of chemotherapeutic agent a patient can receive and often precludes administration of curative doses. This project seeks to develop a method to encapsulate chemotherapeutic drugs inside tiny, nano-scale particles that can cross the blood brain barrier and efficiently treat otherwise fatal brain tumors like glioblastoma multiforme (GBM). Success in doing so will be a first in class demonstration of the potential of this powerful drug for targeted and potentially curative treatment of brain tumors.

PI_NAMEs: NAGY, JON OWEN (contact);TRICHE, TIMOTHY J.

PROGRAM_OFFICER_NAME: FRANCA-KOH, JONATHAN C

PROJECT_TERMS: Adult;Age;Animals;Antibodies;antibody conjugate;Antibody-drug conjugates;Antigen Targeting;Antigens;Antineoplastic Agents;antitumor effect;Binding;Biological Availability;Blood - brain barrier anatomy;blood-brain barrier crossing;blood-brain barrier penetration;blood-brain tumor barrier;Body Weight;Bone Marrow;Brain;Brain Neoplasms;cancer cell;Cancer Patient;cancer therapy;care costs;Caring;Cause of Death;cBioPortal;Cell surface;Cells;Central Nervous System Neoplasms;Cerebrovascular system;chemotherapeutic agent;chemotherapy;Chemotherapy-Oncologic Procedure;Circulation;Clinic;comparative efficacy;cost;curative treatments;Cytotoxic agent;Data;Dose;Drug Delivery Systems;Drug Targeting;Drug toxicity;Drug usage;effective therapy;Encapsulated;epidermal growth factor receptor VIII;Extracellular Domain;Failure;Formulation;Gender;Glioblastoma;Goals;high risk;Hour;Human;human model;Hybrids;Implant;improved;In Vitro;in vivo;Incidence;Injections;irinotecan;Legal patent;Life;Malignant - descriptor;Malignant neoplasm of brain;Malignant Neoplasms;manufacture;Measures;Metastatic malignant neoplasm to brain;Methods;Mission;Morbidity - disease rate;mortality;mouse model;Mus;nanoparticle;nanoparticle drug;nanopolymer;nanoscale;Nanotechnology;Neoplasm Metastasis;neoplastic cell;Normal tissue morphology;novel;particle;Patients;Pediatric Neoplasm;Pharmaceutical Preparations;pharmacokinetics and pharmacodynamics;Phase;Plasma;preclinical development;prevent;Primary Neoplasm;Reproducibility;Resistance;Resources;Safety;SEER Program;Small Business Technology Transfer Research;small molecule;SN-38;success;Surface;Survival Rate;Systemic Therapy;targeted treatment;Technology;Therapeutic;therapeutic nanoparticles;Time;Tissues;Toxic effect;Transcript;Translating;tumor;Tumor Antigens;Tumor Burden;tumor growth;tumor heterogeneity;Xenograft procedure

PROJECT_TITLE: Tumor Antigen Targeted Nanoparticle Therapy for Glioblastoma (GBM)

STUDY_SECTION_NAME: Special Emphasis Panel[ZRG1-OTC-R(12)B]


NIH_SPENDING_CATS: Cancer;Clinical Research;Rare Diseases

ORG_CITY: HOUSTON

ORG_NAME: BAYLOR COLLEGE OF MEDICINE

PHR: Diagnosis of a fine needle aspiration (FNA) biopsies obtained from patients with a suspicious thyroid nodules can be extremely challenging using standard clinical pathology workflows. The majority of patients that receive an indeterminate biopsy result undergo a diagnostic surgery to later find out that the surgical procedure was completely unnecessary, leading to life-altering side effects. Here, we propose to conduct a large validation study to evaluate the analytical and clinical performance of a new molecular test we have developed to diagnose FNA biopsies based on the detection of hundreds of metabolic markers, with the expectation to improve diagnosis and thus reduce the number of unnecessary diagnostic thyroid surgeries for patients.

PI_NAMEs: HUANG, RONGRONG ;SCHIAVINATO EBERLIN, LIVIA ;SULIBURK, JAMES  (contact)

PROGRAM_OFFICER_NAME: MCKEE, TAWNYA C

PROJECT_TERMS: accurate diagnosis;Address;Benign;Biological Assay;biomedical data science;Biopsy;cancer diagnosis;care costs;Caring;Chemistry;Classification;Clinical;Clinical Chemistry;clinical implementation;clinical material;Clinical Pathology;Clinical Research;Collaborations;college;cost;Cytology;Cytopathology;Detection;Diagnosis;Diagnostic;diagnostic assay;diagnostic biomarker;Effectiveness;Evaluation;expectation;experimental study;Fine needle aspiration biopsy;Follicular Adenoma;Follicular thyroid carcinoma;Genetic;genetic testing;Genomics;good laboratory practice;Guidelines;Healthcare Systems;high throughput technology;Hormone replacement therapy;Human;Hypothyroidism;Imaging technology;improved;Incidence;Industrialization;innovation;interdisciplinary collaboration;Laboratories;Life;Machine Learning;Malignant - descriptor;Malignant neoplasm of thyroid;Malignant Neoplasms;mass spectrometric imaging;Measures;Medical center;Medicine;member;Metabolic;Metabolic Marker;Methods;Modeling;Modernization;Molecular;Nodule;Operative Surgical Procedures;Pain;Papillary thyroid carcinoma;Pathologic;Pathology;Patient Care;Patients;Pattern;Performance;Phase;Practice Guidelines;predictive marker;Procedures;Productivity;prospective;Quality Control;Quality of life;Recommendation;Research;Risk;Sample Size;Sampling;side effect;Specificity;Specimen;Standardization;Statistical Data Interpretation;Surgical Pathology;Technology;Testing;Texas;Thyroid Gland;Thyroid Nodule;Thyroidectomy;Tissues;Training;Universities;Unnecessary Surgery;Validation;validation studies

PROJECT_TITLE: Clinical Validation of Metabolic Markers Detected by Mass Spectrometry Imaging for Diagnosis of Thyroid Fine Needle Aspiration Biopsies


ADMINISTERING_IC: EY

IC_NAME: NATIONAL EYE INSTITUTE

NIH_SPENDING_CATS: Bioengineering;Eye Disease and Disorders of Vision;Neurosciences

ORG_CITY: BALTIMORE

ORG_DEPT: NEUROSCIENCES

ORG_NAME: JOHNS HOPKINS UNIVERSITY

PHR: RELEVANCE (See instructions): This study aims to understand the neural algorithms that underlie visual understanding of 3D structure in  the real world and apply those algorithms in artificial visual systems. Understanding these neural algorithms  is relevant for future prosthetic approaches to restoring 3D visual experience through cortical implants.  Using these algorithms to bring artificial vision closer to biological vision will be essential for intelligent  driving of such prosthetics based on camera images.

PI_NAMEs: CONNOR, CHARLES E (contact);YUILLE, ALAN L

PROGRAM_OFFICER_NAME: CLAYTON, EDWIN C

PROJECT_TERMS: 3-Dimensional;Age;Algorithms;Anterior;Architecture;area V4;Automobile Driving;Back;Beauty;Behavior;Biological;Brain;Categories;Code;Complex;Cues;Depth Perception;design;Development;Equilibrium;experience;experimental study;falls;Force of Gravity;Future;Genetic Programming;Geometry;Goals;Human;Image;image processing;Implant;Individual;inferotemporal cortex;information processing;Instruction;learning algorithm;Macaca;Mechanics;Methods;Monkeys;Morphology;Motion;Movement;network architecture;neural;Neurons;novel;object perception;object shape;Output;Pathway interactions;Performance;physical state;Positioning Attribute;Primates;Prosthesis;reconstruction;response;retinal imaging;Shapes;Signal Transduction;Solid;Source;Stimulus;Testing;Texture;three dimensional structure;Training;Vision;Vision research;Visual;Visual Fields;visual neuroscience;visual performance;Visual System;Work

PROJECT_TITLE: "CRCNS": Brain-derived network architectures for deciphering and applying brain algorithms

STUDY_SECTION_NAME: Special Emphasis Panel[ZRG1 BN-P (50)]


NIH_SPENDING_CATS: Cancer;Cervical Cancer;Clinical Research;HIV/AIDS;Health Services;Infectious Diseases;Prevention;Sexually Transmitted Infections;Women's Health Research

ORG_CITY: Bern

ORG_COUNTRY: SWITZERLAND

ORG_FIPS: SZ

ORG_NAME: UNIVERSITAT BERN

PHR: Project narrative Cervical cancer incidence rates worldwide are highest in Southern and East African countries such as Zambia, Eswatini, and Malawi. The massive cervical cancer burden in these countries is linked to the high HIV prevalence in the region. The World Health Organization (WHO) cervical cancer screening guidelines released in 2021 strongly suggested that HPV DNA testing should be used as the primary screening test for women living with and without HIV. However, the triage test to be used in women living with HIV is not specified in these guidelines. Mathematical models can help generate evidence on the comparative effectiveness and cost-effectiveness of different screening strategies. This supplement application aims to identify the most (cost-)effective cervical cancer screening and triage strategy for Zambia. The results from the proposed study will inform policymakers in Zambia and guide their decisions on optimal cervical cancer screening practices for their specific context.

PI_NAMEs: DAVIES, MARY-ANN ;EGGER, MATTHIAS  (contact)

PROGRAM_OFFICER_NAME: MCKAIG, ROSEMARY G

PROJECT_TERMS: African;Cancer Burden;Cancer Etiology;cervical cancer prevention;Cervical Cancer Screening;cervical carcinogenesis;Cessation of life;comparative effectiveness;cost;cost effectiveness;Country;Databases;DNA;Effectiveness;Evaluation;Guidelines;Health Policy;HIV;Human Papilloma Virus-Related Malignant Neoplasm;Human Papillomavirus;Incidence;Link;Malawi;Malignant neoplasm of cervix uteri;mathematical model;Modeling;Policies;Policy Maker;Prevalence;Prevention program;Prevention strategy;screening;screening guidelines;Stage at Diagnosis;Testing;Triage;Woman;Women's mortality;World Health Organization;Zambia

PROJECT_TITLE: Modeling the impact of cervical cancer prevention in Zambia


ADMINISTERING_IC: AT

IC_NAME: NATIONAL CENTER FOR COMPLEMENTARY & INTEGRATIVE HEALTH

NIH_SPENDING_CATS: Bioengineering;Chronic Pain;Complementary and Integrative Health;Machine Learning and Artificial Intelligence;Networking and Information Technology R&D (NITRD);Neurosciences;Pain Research;Rehabilitation

ORG_CITY: CHARLOTTESVILLE

ORG_NAME: UNIVERSITY OF VIRGINIA

ORG_STATE: VA

PHR: Deep pressure touch is experienced in interpersonal exchanges, and is used in manual therapy and  massage to relieve musculoskeletal pain. This project will investigate its encoding by peripheral neural  afferents to elucidate the response characteristics of distinct subtypes. We will develop computational  models of afferent subtypes to deep pressure touch, comparing predictions to measured firing, obtained in  human microneurography, and attribute changes to tissue mechanics and/or neuronal mechanisms.

PI_NAMEs: GERLING, GREGORY JOHN (contact)

PROGRAM_OFFICER_NAME: TUTTLE, ALEXANDER H

PROJECT_TERMS: Address;Amyloid beta-Protein;Anatomy;Ankle;Anterior;Area;Arousal;Awareness;biophysical model;Bypass;C Fiber;Characteristics;chronic musculoskeletal pain;Clinical;Computer Models;Computer Vision Systems;Cutaneous;Electric Stimulation;Engineering;Equilibrium;Esthesia;experience;Fascia;Fatigue;foot;France;Goals;Health;Human;Individual;Inflammation;Injury;insight;International;Joints;Judgment;Knowledge;Lateral;Leg;Link;Location;machine learning method;machine learning model;Manipulative Therapies;Massage;Measures;Mechanical Stimulation;Mechanics;Mechanoreceptors;Methods;Modeling;Muscle;Musculoskeletal;Musculoskeletal Pain;Myofascial Pain Syndromes;neural;neural model;Neurons;Neurosciences;Nociceptors;novel;Organ;Output;Pain;pain signal;Patients;Pattern;Perception;Peripheral;Peripheral Nerves;peroneal nerve;physical therapist;Physiological;Physiology;Population;predictive modeling;pressure;Property;Reaction;receptive field;receptor;recruit;Relaxation;Research;response;Response to stimulus physiology;Sampling;Series;Side;Signal Transduction;Site;Skin;soft tissue;Sprain;statistical and machine learning;Tactile;Therapeutic;Time;Tissues;Touch sensation;Transcutaneous Electric Nerve Stimulation;Work

PROJECT_TITLE: CRCNS: Computational modeling to predict afferent firing to deep pressure touch


ADMINISTERING_IC: HD

IC_NAME: EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT

NIH_SPENDING_CATS: Basic Behavioral and Social Science;Behavioral and Social Science;Clinical Research;Neurosciences;Pediatric

ORG_CITY: PHILADELPHIA

ORG_DEPT: PSYCHOLOGY

ORG_NAME: TEMPLE UNIV OF THE COMMONWEALTH

ORG_STATE: PA

PHR: PROJECT NARRATIVE The emergence of new technology/media forms has often been accompanied by panic over the likely societal and personal harms they might engender, especially with respect to developing youth. The proposed project seeks to inform our understanding of the particular precursors, correlates, and sequelae that may be linked to the escalating presence of smartphone and social media technologies in teens' lives, and to guide us in determining when these technology habits should, and should not, concern policy-makers and care-givers. The project will enact a multi-methodological cross-sequential longitudinal study to investigate the psychological and brain factors that predispose individuals of different ages to intensified use of smartphones and social media (SSM), and to explore the relationship that such habits may have with specific aspects of cognitive and brain development, psychosocial maturation, and everyday functioning.

PI_NAMEs: CHEIN, JASON M (contact)

PROGRAM_OFFICER_NAME: MILLER, BRETT

PROJECT_TERMS: Acceleration;adjudication;Adolescent;Adolescent and Young Adult;Age;American;Behavior;Behavioral;Biological Assay;Brain;Caring;Cellular Phone;Characteristics;Child;Cognitive;cohort;Data;Development;Diffusion;digital media;Ecological momentary assessment;emerging adult;Esthesia;Exercise;follow up assessment;Future;Growth;Habits;indexing;Individual;Individual Differences;information processing;insight;Investigation;Investments;Laboratories;Link;Literature;Longitudinal Studies;media use;mental function;Methodology;Methods;middle childhood;Modeling;Motivation;neuroimaging;new technology;Outcome;Panic;Pathway interactions;Patient Self-Report;Pattern;Performance;Personal Satisfaction;Phase;Policy Maker;Positioning Attribute;predictive modeling;Predisposing Factor;Process;prospective;psychologic;psychosocial;psychosocial development;Recruitment Activity;Research;reward processing;Rewards;Risk Taking;scaffold;Shapes;skeletal;skills;Sleep;social;social media;Technology;Teenagers;Testing;theories;Traction;Variant;Well in self;Work;young adult;Youth

PROJECT_TITLE: Origins and Outcomes of Smartphone and Social Media Habits Across Development

STUDY_SECTION: PDRP

STUDY_SECTION_NAME: Psychosocial Development, Risk and Prevention Study Section[PDRP]


ADMINISTERING_IC: AG

ED_INST_TYPE: SCHOOLS OF PHARMACY

IC_NAME: NATIONAL INSTITUTE ON AGING

NIH_SPENDING_CATS: Acquired Cognitive Impairment;Aging;Alzheimer's Disease;Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD);Biotechnology;Brain Disorders;Cerebrovascular;Dementia;Immunization;Neurodegenerative;Neurosciences

ORG_CITY: ANN ARBOR

ORG_NAME: UNIVERSITY OF MICHIGAN AT ANN ARBOR

ORG_STATE: MI

PHR: The goal of this research is to improve the delivery of neuroprotective antibodies to the brain by generating bifunctional antibodies that target both a protein at the blood brain barrier and a target within the brain. This research will involve optimizing bifunctional antibodies to achieve high and sustained antibody levels in the brain, and then using them to prevent Alzheimer's disease-like pathology in animal models. The bifunctional antibodies and insights gained in this work are expected to accelerate the development of therapeutics for treating Alzheimer's disease and other neurodegenerative disorders.

PI_NAMEs: GREINEDER, COLIN FRED;TESSIER, PETER M (contact)

PROGRAM_OFFICER_NAME: GROTHAUS, PAUL G

PROJECT_TERMS: Acceleration;Address;Adult;Affect;Affinity;Age;age related neurodegeneration;aged;Agonist;Alzheimer like pathology;Alzheimer's Disease;Alzheimer's disease pathology;Alzheimer's disease therapeutic;Amino Acid Transport System L;Animal Model;antagonist;Antibodies;Biological Products;Bispecific Antibodies;Blood - brain barrier anatomy;blood-brain barrier penetration;Brain;cerebrovascular;Characteristics;Clinic;clinical efficacy;Cognitive deficits;Combined Modality Therapy;Data;Development;Disease;Dose;efficacy evaluation;efficacy outcomes;Endothelium;Epitopes;Functional disorder;Generations;Goals;Immunoglobulin G;Impaired cognition;improved;Individual;insight;Knowledge;Ligands;Mediating;mouse model;Mus;Neurodegenerative Disorders;Neurons;neuroprotection;Pathway interactions;Phosphorylation;pre-clinical;preservation;prevent;Proteins;Research;Safety;Specificity;Synapses;targeted treatment;tau Proteins;tau-1;Testing;TFRC gene;Therapeutic;therapeutic development;uptake;Viral;Work

PROJECT_TITLE: CD98hc Brain Shuttles for Delivering Off-the-shelf Neuroprotective Antibodies in Alzheimer's Disease


ADMINISTERING_IC: HL

IC_NAME: NATIONAL HEART, LUNG, AND BLOOD INSTITUTE

ORG_CITY: PITTSBURGH

ORG_DEPT: BIOMEDICAL ENGINEERING

ORG_NAME: UNIVERSITY OF PITTSBURGH AT PITTSBURGH

PHR: PROJECT NARRATIVE Nearly 400,000 coronary artery bypass grafts (CABG) are performed each year making it the most commonly performed major surgical procedure. Even though autologous tissue interventions in CABG procedures are regarded as some of the most effective treatment options, their failure rate remains notably high. This proposal aims to employ two-photon subtractive manufacturing and sulfobetaine (SB) coating to investigate the impact of porosity on the biomechanical responsiveness of the TEVG, reduce thrombotic deposition, as well as to examine the growth and proliferation of native cells within the graft.

PI_NAMEs: VANDE GEEST, JONATHAN PIETER (contact)

PROGRAM_OFFICER_NAME: LUNDBERG, MARTHA

PROJECT_TERMS: Achievement;Adoption;Autologous;biomaterial compatibility;Biomechanics;Biopolymers;Blood Platelets;Blood Vessels;Bypass;Cardiac;Cardiac Surgery procedures;Cardiovascular Diseases;cell motility;Cell Proliferation;Cells;Cellular Infiltration;Clinical;Clinical Research;clinical translation;Coronary Artery Bypass;Deposition;Development;effective therapy;efficacy evaluation;Engineering;Engraftment;Ensure;Environment;Extracellular Matrix;Failure;Fostering;Growth;hemocompatibility;hemodynamics;hydrophilicity;implantation;improved;in vivo;Incidence;Infiltration;innovation;insight;Intervention;Legal patent;manufacture;Mechanics;mortality;Nature;Operative Surgical Procedures;Organ Transplantation;Patients;Performance;Play;Polymers;Porosity;pre-clinical assessment;Procedures;Production;Proliferating;Property;Quality of life;reconstruction;Research;Risk;Role;Safety;Smooth Muscle Myocytes;Surface;Techniques;Technology;Testing;thrombogenesis;thrombotic;thrombotic complications;Time;Tissues;two-photon;Vascular Graft;Vascular Smooth Muscle;vascular tissue engineering

PROJECT_TITLE: Preclinical Assessment of a Compliance Matched Biopolymer Vascular Graft - Diversity Supplement


ADMINISTERING_IC: FD

IC_NAME: FOOD AND DRUG ADMINISTRATION

ORG_CITY: Washington, DC

ORG_NAME: REAGAN-UDALL FOUNDATION/FOOD/DRUG/ADMIN

ORG_STATE: DC

PHR: Effective engagement with the public is essential to expand the impact of the Food and Drug Administration, and for the efficient transfer of information and insights among the agency, patients, academia, consumers and regulated industry. With this cooperative agreement award, the Reagan-Udall Foundation for the FDA will initiate and support projects that enable critical public health collaborations among FDA, industry, and the public. The Foundation will leverage its expertise and experience in areas of regulatory science, real-world data, patient and consumer engagement, and expanded access to deliver a suite of programs that enhance FDA’s mission.

PI_NAMEs: BHAT, AMARNATH  (contact)

PROGRAM_OFFICER_NAME: ORR, ROBERT

PROJECT_TITLE: SPARC: Supporting Patient Access, Real-world data, and critical Collaborations


ADMINISTERING_IC: ES

IC_NAME: NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES

ORG_CITY: NEW YORK

ORG_DEPT: PUBLIC HEALTH & PREV MEDICINE

ORG_NAME: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI

ORG_STATE: NY

PHR: PROJECT NARRATIVE The Mount Sinai Human Health Exposure Analysis Resource (HHEAR) Laboratory Network Hub will advance public health in the United States by supporting state-of-the-art exposure science and biological response methods designed to discover the environmental causes of disease and disability in people of all ages.

PI_NAMEs: WRIGHT, ROBERT O (contact)

PROGRAM_OFFICER_NAME: CUI, YUXIA

PROJECT_TERMS: Acceleration;Adult;Affect;Age;Analytical Chemistry;Asthma;Automatic Data Processing;Automation;Back;Behavioral;Biological;Biological Assay;Biological Markers;biomarker development;Blood;Chemical Exposure;Chemical Modifier;Chemicals;Child;Chronic Disease;Client;clinical practice;Communication;Complex;complex data;Complex Mixtures;computer scientist;Consultations;Data Analyses;data centers;Data Scientist;Data Set;design;Development;disability;Disease;disorder risk;Dose;Dryness;early childhood;Endocrine Disruptors;Ensure;Environment;Environmental Epidemiology;Environmental Exposure;Environmental Health;Environmental Risk Factor;Epidemiologist;Epidemiology;experience;Exposure to;Faculty;Flame Retardants;flexibility;Funding;gene environment interaction;Genetic;Genetic study;Grant;Hair;Health;health goals;Health Priorities;Heart Diseases;Human;Human Development;Infrastructure;innovation;Institution;instrument;interest;Investments;Laboratories;Learning Disabilities;Life;Life Cycle Stages;life span;Link;Liquid substance;Management Information Systems;mass spectrometer;Measures;medical schools;Medicine;Metals;Methodology;Methods;Minerals;Mission;Modernization;Molecular Biology;multidisciplinary;Nature;Neonatal;novel;Nutrient;Nutritional status;Obesity;Occupations;operation;Organic Chemicals;Outcome;outreach;Pediatrics;Persons;Pesticides;Physicians;Placenta;Population;Predisposition;prenatal;prenatal exposure;Preparation;Procedures;programs;Prospective, cohort study;Protocols documentation;Public Health;quality assurance;Quality Control;Research;Research Design;Research Personnel;Resources;response;Risk;Role;sample collection;Sampling;Science;Scientist;Services;sex;Shipping;social;social stress;Societies;Specific qualifier value;Speed;Spottings;Stress;stressor;Structure of nail of toe;Technology;Time;Tobacco;Tooth structure;Toxic effect;toxicant;Toxicokinetics;Toxicology;trait;United States;United States National Institutes of Health;Urine;Vitamins;Work

PROJECT_TITLE: Mount Sinai HHEAR Network Targeted Lab Hub

STUDY_SECTION: NSS

STUDY_SECTION_NAME: NSS


NIH_SPENDING_CATS: Prevention;Social Determinants of Health

PROJECT_TERMS: Address;Age;Analytical Chemistry;autism spectrum disorder;Automatic Data Processing;Biological;Biological Assay;Biological Markers;Biology;Chemicals;Chemistry;Chromatography;Client;Clinical Medicine;Collaborations;Complement;Complex;computerized data processing;Consultations;cost;cost effectiveness;Counseling;Data;Data Analyses;data centers;data integrity;Data Reporting;Database Management Systems;Dedications;design;detection limit;Development;Disease;Dose;Elements;Emotional;Ensure;Environment;Environmental Exposure;Environmental Health;Environmental Impact;Epigenetic Process;Etiology;experience;Exposure to;gene environment interaction;Genes;Genetic;Genomics;Growth;Health;health goals;Heart Diseases;Hormones;Human;Human Development;human error;Human Genome;human population study;Infection;Inflammation;Informatics;Infrastructure;innovation;Institution;instrument;Investments;Label;Laboratories;late life;Life Cycle Stages;Liquid substance;Malignant Neoplasms;Management Information Systems;Mass Spectrum Analysis;Measures;Medicine;meetings;Metadata;Metals;Methods;Monitor;multidisciplinary;Nutrient;Nutritional;Occupations;Organic Chemicals;Organophosphates;outreach;Parkinson Disease;Pattern;Pesticides;Phenotype;Population;Predisposition;prenatal;Preparation;prevent;Prevention;Procedures;Process;Productivity;programs;Protocols documentation;Public Health;quality assurance;Quality Control;Randomized;Reporting;Research;Research Design;Research Personnel;Resources;response;Robotics;Sampling;Schizophrenia;Science;Services;Shapes;Social Environment;social stress;Societies;Software Design;software systems;Specimen;Structure;Suburban Population;symposium;System;targeted biomarker;Techniques;Technology;Testing;Time;tool;Tooth structure;Toxic Environmental Substances;toxicant;Toxicology;United States National Institutes of Health;Work

PROJECT_TITLE: Targeted Analysis Resource


ADMINISTERING_IC: DE

ED_INST_TYPE: SCHOOLS OF DENTISTRY/ORAL HYGN

IC_NAME: NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH

NIH_SPENDING_CATS: Cancer;Chronic Pain;Clinical Research;Clinical Trials and Supportive Activities;Dental, Oral, and Craniofacial Disease;Digestive Diseases;Neurosciences;Pain Research;Rare Diseases

ORG_CITY: CHAPEL HILL

ORG_DEPT: DENTISTRY

ORG_NAME: UNIV OF NORTH CAROLINA CHAPEL HILL

ORG_STATE: NC

PHR: PROJECT NARRATIVE Oral cancer is one of the most painful cancers, yet the etiology of oral cancer pain remains unknown. The proposed studies will characterize sensory changes and pain that accompany oral cancer in clinical and preclinical settings. Knowledge gained from the proposed research may facilitate the development of individualized pain therapies to specifically address pain in individual patients.

PI_NAMEs: SAWICKI, CAROLINE  (contact)

PROGRAM_OFFICER_NAME: FUQUA, CHANTEL FAYSAN

PROJECT_TERMS: Acids;addiction;Address;Afferent Neurons;Agonist;Ankyrin Repeat;antagonist;Basic Science;Behavior;Behavioral Assay;Biological Assay;Calcium ion;Cancer Etiology;cancer pain;Cancer Patient;Capsaicin;carcinogenesis;career;career development;Cell Line;Chemicals;Childhood;Clinical;Clinical Data;Clinical Management;clinical phenotype;Clinical Research;Consent;Constipation;Data;Dental;Development;Development Plans;Drowsiness;Etiology;evidence base;experience;experimental study;Fiber;Foundations;Goals;Heterogeneity;High Prevalence;Human;Incidence;individual patient;Institutional Review Boards;Knowledge;Laboratory Research;Learning;malignant mouth neoplasm;Malignant neoplasm of cervix uteri;Malignant neoplasm of ovary;Malignant Neoplasms;Measurement;Measures;mechanical stimulus;Mechanics;Mediating;Mediator;Melanoma;Mentorship;Molecular;mouse model;mouth squamous cell carcinoma;mustard oil;Nerve;neurobiological mechanism;Neurobiology;Neurons;New York;Nociception;Nociceptors;non-opioid analgesic;novel;Opioid;Oral Diagnosis;orofacial;Orofacial Pain;Outcome;Pain;Pain management;Pain quality;participant enrollment;patient oriented;Patients;pediatric patients;Phenotype;Play;Positioning Attribute;pre-clinical;Pre-Clinical Model;Program Development;programs;protocol development;Publishing;receptor;recruit;Reporting;Research;research and development;Research Design;Research Personnel;research study;response;Role;Sampling;Scientist;screening;Sensory;Severities;Side;skills;sodium ion;Symptoms;Testing;Training;Translational Research;translational research program;translational scientist;transmission process;treatment strategy;TRPV1 gene;United States;Universities;Vanilloid;Ventilatory Depression;Work

PROJECT_TITLE: Dissecting the heterogeneity of oral cancer pain

STUDY_SECTION: DSR

STUDY_SECTION_NAME: National Institute of Dental and Craniofacial Research Special Grants Review Committee[DSR]


NIH_SPENDING_CATS: Bioengineering;Biotechnology

ORG_CITY: SEATTLE

ORG_DEPT: CHEMISTRY

ORG_NAME: UNIVERSITY OF WASHINGTON

ORG_STATE: WA

PHR: PROJECT NARRATIVE Molecular interactions at the cell surface are paramount to many biological processes, yet our knowledge of the cell surface architectures that dictate these interactions remains incomplete. This proposal introduces novel technologies to capture glycoprotein features across the cell surface proteome, where glycan and protein components contribute holistically to unique molecular surfaces that relay biological information (i.e., the glycocode). Using these developments, we will generate a human glycocode atlas across multiple cell types to explore the role of cell surface glycocode heterogeneity in specialized cellular functions, and we will study dynamic glycocode reprogramming as cells transition from sedentary to migratory phenotypes known to drive numerous pathologies.

PI_NAMEs: RILEY, NICHOLAS M (contact)

PROGRAM_OFFICER_NAME: BOND, MICHELLE RUEFFER

PROJECT_TITLE: Capturing the Holistic Glycocode through Systems Glycobiology


NIH_SPENDING_CATS: Genetics

ORG_CITY: DURHAM

ORG_DEPT: ANATOMY/CELL BIOLOGY

ORG_NAME: DUKE UNIVERSITY

PHR: Relevance: Mammalian cells use biological zip codes to transport mRNAs, which encode the information for the synthesis of proteins, to specific locations in the cell, so that proteins are made in their appropriate location. This RNA localization process is critical to early development, learning and memory, and at the level of the individual cell, to the secretion of hormones and neurotransmitters as well the cell surface localization of proteins functioning in signaling and cell-cell communication. The findings from this study are expected to reveal new mechanisms of RNA localization and identify conserved pathways that may be dysregulated in diseases of development, metabolism, and ageing.

PI_NAMEs: NICCHITTA, CHRISTOPHER V. (contact)

PROGRAM_OFFICER_NAME: MILLER, RITA K

PROJECT_TERMS: Address;Aging;Binding;Binding Proteins;Biochemical;Biogenesis;Biological;Biology;Cell Communication;Cell Culture System;Cell surface;Cells;crosslinking and immunoprecipitation sequencing;Development;Disease;Endoplasmic Reticulum;Gene Expression;Genes;Hormone secretion;in vivo evaluation;Individual;insight;Laboratories;Learning;Location;Mammalian Cell;Mediating;Membrane Proteins;Memory;Messenger RNA;Metabolism;Modeling;Neurotransmitters;Pathway interactions;Peptide Signal Sequences;posttranscriptional;Process;Protein Biosynthesis;protein function;Protein translocation;Proteins;Proteome;proteostasis;Regulation;Research;ribophorin I;ribosome profiling;Ribosomes;RNA;RNA-Binding Proteins;Role;secretory protein;Signal Recognition Particle;signal sequence receptor;Signal Transduction;Site;System;Testing;tissue/cell culture;trafficking;Transcript;transcriptome;transcriptome sequencing;Translation Initiation;Translational Regulation;Translations

PROJECT_TITLE: Mechanisms of RNA localization and translational regulation on the endoplasmic reticulum

STUDY_SECTION_NAME: Special Emphasis Panel[ZRG1-CB-J(55)R]


NIH_SPENDING_CATS: Bioengineering;Cardiovascular;Heart Disease;Heart Disease - Coronary Heart Disease;Obesity

PHR: Administrative Supplement - Disentangling the Mechanisms of Coronary Blood Flow Regulation through Multi-scale Modeling In this project, we request support for a post-doctoral candidate with a diverse background and from an underrepresented group in the biomedical research workforce who has a proven research track record and who demonstrates an enthusiasm for innovative ideas and tackling complex cardiovascular research questions. The scientific goals of the proposed project are to develop custom tissue clearing, microscopy imaging, and vessel reconstruction techniques to characterize the structure of the coronary microcirculation in healthy and disease states. The image-based networks obtained through this supplement will increase the relevance of the computational models of the parent R01.

PI_NAMEs: BEARD, DANIEL A;FIGUEROA, CARLOS ALBERTO (contact);TUNE, JOHNATHAN D

PROGRAM_OFFICER_NAME: HSU, LI-YUEH

PROJECT_TERMS: 3-Dimensional;Administrative Supplement;Anatomy;Animals;Architecture;Behavior;Biomedical Research;Blood capillaries;Blood flow;Blood Vessels;Cardiovascular system;Characteristics;Chemicals;Clinical;clinically relevant;Comparative Study;Complex;Computer Models;Confocal Microscopy;Coronary;Coronary artery;Coronary Circulation;Coupled;Custom;Data;Data Set;density;design;Dextrins;Disease;Elements;Endocardium;Endothelial Cells;Epicardium;Family suidae;Functional disorder;Goals;Grant;Graph;Heart;hemodynamics;high resolution imaging;hydrophilicity;Image;image processing;Imaging Techniques;improved;individualized medicine;innovation;insight;Ischemia;Knowledge;Label;large-scale imaging data;Laser Scanning Confocal Microscopy;Laws;Lipids;Mechanics;Metabolic;Metabolic syndrome;Methods;Microcirculation;microscopic imaging;Microscopy;Microvascular Dysfunction;Modeling;Modernization;Modification;Morphologic artifacts;Morphology;morphometry;multi-scale modeling;Mus;Myocardial;Myocardial Contraction;Myocardial tissue;Myocardium;Obesity;Optics;Oxygen;Parents;Penetration;Physics;Physiological;porcine model;Postdoctoral Fellow;Predisposition;preservation;Procedures;Process;Protocols documentation;Rattus;Reagent;reconstruction;Refractive Indices;Regulation;Research;Resolution;Rhodamine;Rodent;Role;signal processing;simulation;Slice;Specimen;Structure;submicron;System;Techniques;Technology;Thinness;tissue preparation;Tissues;tomato lectin;Underrepresented Populations;Vascular resistance;Vascular System;Ventricular

PROJECT_TITLE: Developing a Structurally-Motivated Model of Coronary Microcirculation Mechanics and Hemodynamics


NIH_SPENDING_CATS: Aging;Basic Behavioral and Social Science;Behavioral and Social Science;Cardiovascular;Clinical Research;Health Disparities Research;Health Disparities and Racial or Ethnic Minority Health Research;Heart Disease;Heart Disease - Coronary Heart Disease;Neurosciences;Racial and Ethnic Minority Health Research;Social Determinants of Health

ORG_NAME: WEILL MEDICAL COLL OF CORNELL UNIV

PHR: Narrative: This proposal will study how social determinants of health, including measures of structural racism, affect coro- nary heart disease and heart failure outcomes. An interdisciplinary group of accomplished investigators will conduct studies of incident and recurrent heart disease, designed specifically to inform policies. We will provide rigorous adjudicated data and Medicare data for investigators outside our study group and provide mentorship to young investigators building careers in health equity research.

PI_NAMEs: LEVITAN, EMILY B;SAFFORD, MONIKA M (contact)

PROGRAM_OFFICER_NAME: COADY, SEAN

PROJECT_TERMS: acute stress;adjudication;Adult;Advocacy;Affect;American Heart Association;Area;Black race;career;career development;Cause of Death;cohort;Competence;Coronary heart disease;Data;Dedications;design;Development;Disparity;EFRAC;Epidemiologist;Event;Funding;Goals;Grant;Health;Health Campaign;health disparity;health equity;Health equity research;health service use;Health Services;Heart Diseases;Heart failure;heart failure with reduced ejection fraction;Hospitalization;Incidence;Infrastructure;interest;Lead;Life Cycle Stages;Link;Measures;Medicare;Mentors;Mentorship;multidisciplinary;Myocardial Infarction;National Heart, Lung, and Blood Institute;Outcome;Participant;Patient-Focused Outcomes;Policies;Population;preservation;Professional Organizations;Program Development;programs;Public Health;Publishing;Reasons for Geographic And Racial Differences in Stroke;Recovery;Recurrence;Research;Research Personnel;resilience;Risk;Role;Sampling;Series;social health determinants;social influence;sociologist;Structural Racism;Study Section;summer institute;therapy design;Training;Underrepresented Minority;United States National Academy of Sciences;Work;World Health Organization

PROJECT_TITLE: REasons for Geographic And Racial Differences in Stroke-Myocardial Infarction-4 (REGARDS-MI-4)

STUDY_SECTION: CHSB

STUDY_SECTION_NAME: Cancer, Heart, and Sleep Epidemiology B Study Section[CHSB]


ADMINISTERING_IC: MH

ED_INST_TYPE: SCHOOLS OF NURSING

IC_NAME: NATIONAL INSTITUTE OF MENTAL HEALTH

NIH_SPENDING_CATS: Adolescent Sexual Activity;Behavioral and Social Science;Clinical Research;Clinical Trials and Supportive Activities;Contraception/Reproduction;Dissemination and Implementation Research;HIV/AIDS;Health Services;Infectious Diseases;Mental Health;Pediatric;Prevention;Teenage Pregnancy;Women's Health Research

ORG_CITY: SAN FRANCISCO

ORG_DEPT: OTHER HEALTH PROFESSIONS

ORG_NAME: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO

PHR: NARRATIVE New and innovative strategies are urgently needed to increase the uptake of HIV prevention and sexual and reproductive health services among adolescent girls and young women (AGYW) in sub-Saharan Africa. In this study, we will rigorously evaluate an innovative intervention intended to create AGYW-friendly drug shops in Tanzania that includes the distribution of HIV self-test kits alongside contraception and linkages to care. The results from the study will provide guidance about whether community-based distribution of HIV testing at drug shops is an effective strategy for decreasing the incidence of HIV and unintended pregnancies among AGYW.

PI_NAMEs: LIU, JENNY XIN (contact)

PROGRAM_OFFICER_NAME: KAMATH, SUSANNAH M A

PROJECT_TERMS: Accreditation;Adopted;Adoption;Adult;Africa;Africa South of the Sahara;Age;age related;AIDS prevention;antenatal care;Area;Awareness;barrier to care;base;Behavior;behavior change;Birth;Businesses;California;care seeking;Caring;Catchment Area;Characteristics;Child;Client;Clinic;Cluster randomized trial;Collaborations;Communities;Community Developments;Community-Based Distributions;Contraceptive Agents;Contraceptive methods;Counseling;Data;design;Diagnostic Reagent Kits;Effectiveness;effectiveness evaluation;Effectiveness of Interventions;Elderly;empowerment;enhancing factor;Environment;Equity;Face;Failure;Female Adolescents;Focus Groups;Fostering;Friends;Gender;girls;Goals;Government;Health;Health behavior;Health care facility;health care service;Health Personnel;Health Services;Health system;Heterogeneity;HIV;HIV diagnosis;HIV Infections;HIV-infected adolescents;human centered design;Human immunodeficiency virus test;implementation fidelity;implementation science;implementation strategy;improved;Incidence;Individual;innovation;Intervention;intervention program;Interview;Link;Liquid substance;Long-Term Effects;Methods;Modeling;Motivation;Oral;Outcome;Pathway interactions;Perception;Personal Satisfaction;Pharmaceutical Preparations;Pharmacy facility;Pilot Projects;Population;Pregnancy;Pregnancy Tests;Prevention;prevention service;primary outcome;Private Sector;Privatization;Program Effectiveness;programs;Provider;Randomized;Records;recruit;Reporting;Reproductive Health Services;Research;Respondent;Risk;Role;Sales;Sampling;San Francisco;secondary outcome;self testing;Services;sexual and reproductive health;Side;Signal Transduction;social stigma;South Africa;standard of care;success;Surveys;Tanzania;Time;unintended pregnancy;Universities;uptake;Vendor;Visit;vulnerable adolescent;Women's Health;young woman;Youth

PROJECT_TITLE: AmbassADDOrs for Health: Supporting young women's health through girl-friendly drug vendors

STUDY_SECTION: PPAH

STUDY_SECTION_NAME: Population and Public Health Approaches to HIV/AIDS Study Section[PPAH]


ED_INST_TYPE: SCHOOL OF MEDICINE & DENTISTRY

NIH_SPENDING_CATS: Chronic Pain;Neurosciences;Pain Research;Patient Safety

ORG_CITY: ROCHESTER

ORG_DEPT: NEUROSURGERY

ORG_NAME: UNIVERSITY OF ROCHESTER

PHR: PROJECT NARRATIVE The NIH's HEAL Initiative aims to support collaboration between clinical research experts in academia, foundations, and industry to accelerate the development of highly efficacious, non-addictive analgesics for well-defined chronic pain syndromes. To achieve this goal, a national analgesic clinical research infrastructure must address barriers to novel analgesic drug development including: (1) the lack of understanding of chronic pain mechanisms and the biological basis of different pain conditions, (2) lack of well-defined phenotypic subpopulations of patients that may respond better to novel treatments, (3) lack of valid biomarkers for pain, (4) poorly designed or executed phase 2 and 3 clinical trials, and (5) frequent lack of pre-planned end of phase 2 go/no-go decision-rules. In this application, we describe the capability of the University of Rochester, a regional medical center with comprehensive multidisciplinary pain care and research expertise, to serve as a Hub (UR-EPPIC-Net) and four cohesively-linked committed Spokes that will excel at recruiting, supporting, and motivating expert investigative teams from multiple subspecialties to actively enroll participants to EPPIC-Net clinical trials and set new standards for how pain research is conceived, implemented, and disseminated.

PI_NAMEs: GEWANDTER, JENNIFER  (contact)

PROGRAM_OFFICER_NAME: BARNES, JENNIFER HAMILTON

PROJECT_TERMS: Academia;Acceleration;Accountability;Address;Adoption;Agreement;Analgesics;Anesthesiology;Biological;Biological Markers;Biological Products;Budgets;Caring;Chronic low back pain;chronic pain;chronic pain patient;Chronic pain syndrome;Clinical;clinical biomarkers;clinical center;clinical investigation;Clinical Research;Clinical Sciences;Clinical Trials;Clinical Trials Network;Collaborations;Communication;community engagement;Conceptions;Conduct Clinical Trials;Data;Data Coordinating Center;Dentistry;design;Development;Devices;Documentation;drug development;Emergency Medicine;Ensure;experience;Foundations;Funding;Gastroenterology;gender minority;Goals;Gynecology;Helping to End Addiction Long-term;human subject protection;improved;Industry;Infrastructure;innovation;Institution;Institutional Review Boards;Kinesiology;Laboratories;Leadership;Link;Malignant Neoplasms;Medical center;meetings;member;multidisciplinary;Network Infrastructure;neuroimaging;Neurology;neuromuscular;neurosurgery;novel;Oncology;operation;Orthopedics;Pain;Pain quality;Pain Research;Participant;participant enrollment;Pathology;Patient Recruitments;patient retention;patient subsets;Pediatrics;Performance;Peripheral Nervous System Diseases;Pharmaceutical Preparations;Phase;Phase II Clinical Trials;phase II trial;Phenotype;Physical Exercise;Positioning Attribute;practice-based research network;primary care practice;Procedures;Protocols documentation;racial minority;recruit;Research;Research Infrastructure;Research Personnel;Resources;response;Rheumatology;Rural;Sensory;Site;small molecule;Syndrome;Testing;Therapeutic Trials;Training;Translational Research;United States National Institutes of Health;Universities;Urology;validation studies;Work

PROJECT_TITLE: University of Rochester Hub and Spokes for the EPPIC Network - Specialized Clinical Center


NIH_SPENDING_CATS: Acquired Cognitive Impairment;Aging;Alzheimer's Disease;Alzheimer's Disease Related Dementias (ADRD);Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD);Biotechnology;Brain Disorders;Cerebrovascular;Dementia;Genetics;Human Genome;Neurodegenerative;Neurosciences;Precision Medicine;Prevention;Vascular Contributions to Cognitive Impairment and Dementia (VCID)

ORG_CITY: RIVERSIDE

ORG_NAME: UNIVERSITY OF CALIFORNIA RIVERSIDE

PHR: Project Narrative Blood-borne protein biomarkers of vessel physiology and dysfunction during aging and Alzheimer’s Disease have not been extensively evaluated nor their affiliation to vessel genomic signatures. Based on our preliminary data we propose to identify blood borne protein biomarkers associated with actual vascular network measures with high temporal resolution and with vascular genes. This proposal will provide novel clinically relevant biomarker(s) that can report the status of the cerebrovasculature preceding and during Alzheimer’s Disease.

PI_NAMEs: AGOSTON, DENES V.;OBENAUS, ANDRE  (contact);SWARUP, VIVEK

PROGRAM_OFFICER_NAME: YIN, XILING

PROJECT_TERMS: 3xTg-AD mouse;abeta accumulation;Abeta clearance;abeta deposition;Acceleration;Address;Age;Aging;Alzheimer's Disease;Alzheimer's disease model;Alzheimer's disease related dementia;Alzheimer's disease risk;Amyloid beta-Protein;Animal Model;Animals;Architecture;Biological Markers;biomarker panel;biomarker signature;Blood;Blood flow;Blood Vessels;blood-based biomarker;Brain;Cells;cerebrovascular;Cerebrovascular Circulation;cerebrovascular pathology;cerebrovascular reactivity;Cerebrovascular system;Cerebrum;Clinical;Clinical Research;clinically relevant;Data;defined contribution;density;Deposition;Disease;Disease Marker;Disease Progression;DNA Sequence Alteration;Early Diagnosis;Early identification;Endothelial Cells;Endothelium;Equipment and supply inventories;Evolution;Exhibits;experimental study;Female;Functional disorder;Future;Gene Expression;Genes;Genome;genomic biomarker;genomic profiles;genomic signature;Genomics;Glial Fibrillary Acidic Protein;Goals;Growth;HMGB1 gene;Human;human model;human subject;IL6 gene;Image;Impaired cognition;Inflammation;Inflammatory;innovation;Knock-in;Knowledge;life span;Linear Regressions;Link;Literature;Magnetic Resonance Imaging;male;Measures;Methods;MMP9 gene;Modeling;Modification;molecular marker;Monitor;Morphology;mouse model;Mus;Nerve Degeneration;Neurofilament-L;Neurons;novel;Onset of illness;Outcome;Paint;Pathology;Patients;Pattern;Perfusion;Phosphorylation;Physiology;pre-clinical;preclinical study;predictive marker;predictive modeling;protein biomarkers;Proteins;Recovery;Reporting;Research;Research Personnel;risk variant;Role;Senile Plaques;Severity of illness;sex;Sex Differences;single nucleus RNA-sequencing;Stress;Structure;Symptoms;System;tau aggregation;tau Proteins;Tauopathies;temporal measurement;Testing;Time;timeline;transcriptomics;Translating;Treatment Efficacy;TREM2 gene;two photon microscopy;two-photon;Variant;vascular abnormality;Vascular Diseases;Vascular Endothelial Growth Factors;VWF gene;Wild Type Mouse

PROJECT_TITLE: Molecular Markers of Cerebrovascular Pathologies in Alzheimer's Disease and Related Dementias

STUDY_SECTION_NAME: Special Emphasis Panel[ZRG1-BN-M(91)]