Mayo Clinic-Backed Startup Will Use AI to Target Unmet Medical Needs

The objective is to figure out how to maximize the cohort that has an unmet need. If the subset is a reasonable subset, it's still interesting from a commercial standpoint." Hear Mark Wehde, of Mayo Clinic's Division of Engineering, discuss new product iteration at the MD&M West Conference on February 7, 2018. Use promo code "MDDI" for 20% off registration. The Qrativ Approach Qrativ formed after Dr. Andrew Badley, Mayo Clinic's director of the Office of Translation, accomplished in two months what his lab had been unable to accomplish in the prior two years by using nference's nferX synthesis platform. "We had a longstanding data analytics problem we were previously unable to resolve," said Badley, who also serves as Qrativ's cofounder and chief medical officer. "I explained the problem to Murali, and about two months and not much money later, he solved the problem. It was an important discovery in my research. That led Murali and I to discuss how we could synergize our areas on a more global scale." The result brings together nference's nferX artificial intelligence software platform with Mayo Clinic's physicians, scientists, and clinical data to ultimately conduct new clinical trials on unmet medical needs. AI does the heavy lifting. Humans make sense of the results. "The AI system doesn't give you one answer. It gives you a list of drug combinations with levels of confidence," Aravamudan explained. "This is where Mayo's clinical expertise comes into play. Andrew's dep...
Source: MDDI - Category: Medical Devices Authors: Tags: Medical Device Business Source Type: news