The Milwaukee Computational Biology Center establishes, nurtures, and supports expertise in computational modeling and simulation for applications in drug discovery and development, pharmacokinetics and pharmacogenomics, and personalized medicine. Computational Biology is a new field that combines data from laboratory experiments, clinical trials and other sources with computer models. Scientists can then use these models to predict the specific actions of medications and their interactions on an individual patient based on the unique physiology of their body. Working together, physicians and modelers can use the power of computational medicine to tailor treatments so that the most effective therapies are used in every patient.
Charles Welzig, M.D.
The Virtual Physiological Rat Project takes a systems biology approach to the study of how genes and environmental factors interact to cause disease. Systems biology is an emerging field that integrates computer modeling with lab experiments to learn how entire physiological systems operate in health and disease. Systems biologists commonly make models that try to mimic processes in living cells, and then use experiments to test how closely the models replicate or predict reality. Changes to different parts of each model can help systems biologists explore questions that traditional lab experiments cannot answer.
Andrew S. Greene, Ph.D