Work performed by Depend Group member, Arjun Athreya, has been highlighted in the Mayo Clinic Center for Individualized Medicine Blog. “We combined expertise from clinicians, engineers and biologists to create an algorithm that uncovered patterns of antidepressant response that each of these specialists alone might not be able to recognize,” says Arjun Athreya, a Mayo- UIUC Alliance predoctoral research fellow. “Using this data with deep machine learning, we were able to predict with 75-85 percent accuracy whether a common antidepressant drug would work for each individual patient in the study. That compares to 58 percent accuracy when predictions are based only on clinical, demographic and social factors. In addition, we found that women and men respond differently to this antidepressant therapy.”
This research is also funded under the NSF Funded Center for Computational Biotechnology and Genomic Medicine (CCBGM) led by Prof. Iyer.
The full paper can be found here.