"At Michigan and with collaborators around the country, we are developing experimental, computational, and clinical tools to make progress toward predictive, personalized,and preventive (P3) health care for better patient outcomes and a more cost-effective healthcare system," says Gilbert Omenn, M.D., Ph.D., professor of internal medicine, human genetics, and public health.
The NCIBI will start work on four driving biological problems prostate cancer, bipolar depression, diabetes type I and diabetes type II. Researchers need new tools to understand the genetic, metabolic and clinical heterogeneity of these diseases. In order to mine and assimilate the wide range of available data and text information, investigators need sophisticated, yet user-friendly, computational means to generate insightful models of disease processes. NCIBI will create, test and deploy these tools for use by NIH researchers nationwide.
The interdisciplinary, collaborative team assembled at the NCIBI has remarkable breadth and depth of talent to address the challenges of data integration from molecular biology and clinical diseases. Spanning the University of Michigan Medical School, College of Engineering, and School of Information as well as seven internationally known collaborating organizations, the NCIBI team members represent a rich diversity of U-M and national leaders in the areas of bioinformatics, systems biology, computational architecture, database technology, ontologies and natural language processing, human computer interfaces, machine learning, computational anatomy, image analysis, genetics, medicine, and public health.
As emphasized by David States, M.D., Ph.D., professor of bioinformatics and human genetics, and by H.V. Jagadish, Ph.D., professor of electric engineering and computer science, "Another interdisciplinary strength wil
Contact: Mary Beth Reilly
University of Michigan Health System