Behavioral Science provides research-driven clinical care to promote a healthy lifestyle and encourage changes to reduce cancer risk, improve adherence to cancer treatment, enhance survivors' coping with long-term consequences of cancer treatment and provide a model of optimal care for cancer-related psychosocial and behavioral issues. The model will provide a setting for translational research in cancer-related lifestyle changes and psychosocial interventions, and training for behavioral health care providers.
To conduct behavioral research on cancer risk behaviors, including the development of a behavioral sciences knowledge base; and to develop, implement, evaluate and disseminate interventions that contribute to preventing and reducing cancer incidence, mortality and morbidity.
- Further expand and strengthen interdisciplinary, collaborative research programs between behavioral scientists and other disciplines, including basic science, clinical research and population-based sciences
- Assure a cohesive, multidisciplinary, critical mass of behavioral science investigators within a well-funded research program
- Continue to build clinical research programs in smoking cessation, genetic counseling and testing for hereditary cancer susceptibility and psychosocial oncology
- Expand the psychobiology research program for the purpose of conducting research on nicotine dependence, withdrawal and relapse and on basic biobehavioral mechanisms
- Focus research programs on high-risk, underserved and minority populations wherever possible
The focus of research in the Bioinformatics and Computational Biology department is microarray data analysis, reverse-phase protein array analysis, biomarker identification, drug target discovery, functional genomics and proteomics, coding sequence analysis, cross-validation analysis, forensic applications of genetics and the analysis of genetic trait inheritance. Other areas of specialization include analyzing the effects of radiotherapy, cell population dynamics, molecular confirmation studies, modeling biological processes, computer-assisted diagnosis, computer-assisted image interpretation, statistical graphics, and the analysis of cell cycle regulatory proteins.
The mission of Bioinformatics and Computational Biology is to conduct collaborative research with clinical and basic science departments, and to support the need for quantitative sciences in the fields of genomics, proteomics, radiotherapy, molecular and cell biology, computer-assisted diagnoses, and image analysis.
Members of the department develop statistically rigorous solutions for the design and analysis of high-throughput molecular profiling technologies in cancer research, and provide data analysis, acquisition, curation and retrieval tools to complement the related laboratory services operated within the institution.
This core facility is supported by the Department of Bionformatics & Computational Biology. It was established through a CPRIT grant for which John Weinstein, M.D., Ph.D. serves as principal investigator. Phil Lorenzi, Ph.D., serves as the director of the metabolomics section of the facility.
Biostatistics, Bioinformatics, and Systems Biology at the Graduate School of Biomedical Sciences
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