Computational models enable doctors to assess biomarkers more quickly and cheaply. To diagnose prostate cancer, urologists, such as John Wei, and pathologists, such as Scott Tomlins, at the University of Michigan Health System, use biomarkers, which are biochemical signatures in blood, urine and tissue that suggest the disease may be present. Some biomarkers are genetic. With support from the National Science Foundation (NSF), University of Michigan engineer Brian Denton is working with a multidisciplinary team that includes Wei and Tomlins to develop a quicker and less expensive way to evaluate biomarkers, using computational models. The researchers sift through vast medical databases and then use Denton’s engineering methods to assess the most effective predictors of prostate cancer.
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