title: Biochemical informatics methods for diagnosis and disease management.
abstract: New technological advances are beginning to have a direct impact on many aspects of healthcare, including screening, diagnosis, treatment, and disease management. A multidisciplinary approach permits the development of sophisticated patient-centered models that rely on bioinformatics, molecular biology, analytical and biochemistry, and healthcare informatics. In the work described here, a decision support model based on neural networks is used to combine results from laboratory tests with clinical parameters to produce a prognostic model for metastatic carcinoma. In addition, techniques for drug design and development are presented that can lead to medications that target specific cancer cells.
authors.affiliation: California State University, Bakersfield, California, USA. shudson@csub.edu
authors.forename: Samuel E
authors.initials: SE
authors.lastname: Hudson
mesh_terms: D001671:Biochemistry / Q000379:methods*; D015415:Biomarkers / Q000032:analysis*; D019295:Computational Biology / Q000379:methods*; D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D015336:Molecular Probe Techniques; D013813:Therapy, Computer-Assisted / Q000379:methods*; D014481:United States
chemical_list: D015415:Biomarkers