title: From patient-specific mathematical neuro-oncology to precision medicine.
abstract: Gliomas are notoriously aggressive, malignant brain tumors that have variable response to treatment. These patients often have poor prognosis, informed primarily by histopathology. Mathematical neuro-oncology (MNO) is a young and burgeoning field that leverages mathematical models to predict and quantify response to therapies. These mathematical models can form the basis of modern "precision medicine" approaches to tailor therapy in a patient-specific manner. Patient-specific models (PSMs) can be used to overcome imaging limitations, improve prognostic predictions, stratify patients, and assess treatment response in silico. The information gleaned from such models can aid in the construction and efficacy of clinical trials and treatment protocols, accelerating the pace of clinical research in the war on cancer. This review focuses on the growing translation of PSM to clinical neuro-oncology. It will also provide a forward-looking view on a new era of patient-specific MNO.
authors.affiliation: Department of Neurological Surgery, Northwestern University Chicago, IL, USA ; Brain Tumor Institute, Northwestern University Chicago, IL, USA.
authors.forename: A L
authors.initials: AL
authors.lastname: Baldock
authors.forename: R C
authors.initials: RC
authors.lastname: Rockne
authors.forename: A D
authors.initials: AD
authors.lastname: Boone
authors.forename: M L
authors.initials: ML
authors.lastname: Neal
authors.forename: A
authors.initials: A
authors.lastname: Hawkins-Daarud
authors.forename: D M
authors.initials: DM
authors.lastname: Corwin
authors.forename: C A
authors.initials: CA
authors.lastname: Bridge
authors.forename: L A
authors.initials: LA
authors.lastname: Guyman
authors.forename: A D
authors.initials: AD
authors.lastname: Trister
authors.forename: M M
authors.initials: MM
authors.lastname: Mrugala
authors.forename: J K
authors.initials: JK
authors.lastname: Rockhill
authors.forename: K R
authors.initials: KR
authors.lastname: Swanson
keywords: clinical modeling; glioma; individualized health care; mathematical modeling; patient-specific; personalized medicine
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