Computational Medicine Begins to Enhance the Way Doctors Detect and Treat Disease

Computational medicine, a fast-growing method of using computer models and sophisticated software to figure out how disease develops–and how to thwart it–has begun to leap off the drawing board and land in the hands of doctors who treat patients for heart ailments, cancer and other illnesses. Using digital tools, researchers have begun to use experimental and clinical data to build models that can unravel complex medical mysteries.

These are some of the conclusions of a new review of the field published in the Oct. 31 issue of the journal Science Translational Medicine. The article, “Computational Medicine: Translating Models to Clinical Care,” was written by four Johns Hopkins professors affiliated with the university’s Institute for Computational Medicine.

In recent years, “The field has exploded. There is a whole new community of people being trained in mathematics, computer science and engineering, and they are being cross-trained in biology,” said institute director Raimond Winslow. “This allows them to bring a whole new perspective to medical diagnosis and treatment. Engineers traditionally construct models of the systems they are designing. In our case, we’re building computational models of what we trying to study, which is disease.”