Welcome to Finsweet's accessible modal component for Webflow Libraries.
Founded in 2005, the mission of the Institute for Computational Medicine is to develop mechanistic computational models of disease, personalize these models using data from individual patients, and apply them to improve disease diagnosis and treatment. ICM researchers work in four different application areas. Computational Molecular Medicine seeks to understand the function of highly interconnected molecular networks in health and disease. This knowledge is applied to enhance discovery of molecular disease networks, detection of disease, discrimination among disease subtypes, prediction of clinical outcomes, and characterization of disease progression. Computational Physiological Medicine seeks to develop highly integrative mechanistic models of biological systems in disease, spanning from the levels of cells to tissues and organs. These models are personalizes using patient data, and apply them to improve disease diagnosis and treatment. Computational Anatomy is an interdisciplinary area of research focused on quantitative analysis of variability in biological shapes in health and disease. It is applied to imaging data to develop anatomic biomarkers for disease diagnosis. Computational Healthcare analyzes large-scale data sets from the electronic health record to discover new ways of improving individualized patient care.
The twenty ICM core faculty are appointed in departments of the Whiting School of Engineering, School of Medicine, and the Bloomberg School of Public Health. Our interdisciplinary labs offer students the opportunity to work with faculty in these four different research areas. Opportunities exist to work on computational, as well as combined computational and experimental/clinical studies. At the end of the summer students will present their work at a university-wide poster session. These internships provide a unique opportunity to gain research experience in the emerging discipline of computational medicine, and would be of great benefit to students interested in pursuing graduate research in this area, or in attending medical school.