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February 4, 2021 By Deborah Borfitz February 4, 2021 | A computer scientist at The Ohio State University (OSU) recently demonstrated the potential of artificial intelligence to crunch real-world data and emulate randomized clinical trials, speeding the pace of drug repurposing. The initial use case was focused on preventing heart failure and stroke in patients with coronary artery disease, but the model could be applied to any disease with a definable outcome, says Ping Zhang, who leads the Artificial Intelligence in Medicine Lab at OSU.  Zhang is senior author of a recently pub...

Share this article Share this article NEW YORK, Dec. 17, 2020 /PRNewswire/ -- Real-world evidence (RWE) studies can offer comparable insights to randomized controlled trials (RCTs), particularly when the intent is to compare clinically meaningful treatment scenarios using rigorous study design and fit-for-purpose data, according to results from the RCT-DUPLICATE project published today in Circulation. Researchers from Brigham and Women's Hospital (BWH) and Harvard Medical School, in close collaboration with the U.S. Food and Drug Administration (FDA) and Aetion, reported the findings from 1...