The unprecedented availability of medically relevant data, from detailed information about genetic changes involved in disease processes and the efficacy of drugs in diverse patient populations, to live images of immune cells moving around in a lymph node, is driving the use of quantitative methods in medicine. New medical breakthroughs as well as the effective management of health care in the future requires the integration of data and methods across the different realms of fundamental research, development of therapeutics, and health care practice.
The goal of the Center for Quantitative Medicine (CQM), established in 2013, is to help make this integration a reality. The Center provides a formal common environment to bring together faculty who use quantitative methods to impact human disease. Faculty within the center conduct research in systems biology, systems medicine, and systems pharmacology, using mathematical tools to study molecular networks and multi-scale systems; genomics, using analysis of high-throughput data sets; bioinformatics, developing databases and computational tools for the analysis of a broad range of biological information; biomedical informatics, including the organization and analysis of large clinical data sets, such as health care management data; biostatistics, including the development of statistical methods for the analysis of large data sets; and other quantitative approaches to human health, including quantitative methods in public health, epidemiology, and the development of appropriate evaluation methods for health care-related processes and policies.