Researchably, a young startup incubated at UC Berkeley, is conducting a pilot with Sanofi in China, using AI to sift through thousands of research studies and surface the most relevant ones to pharma stakeholders. "With Sanofi we're working with a small medical communications team, and they're in charge of every day reviewing 100 to 200 articles on Type 2 diabetes to then inform business units who are working on competitive analysis and also external doctors who are essentially prescribing their drugs about what's going on in their field," COO Mauro Cozzi told MobiHealthNews. "This team of 10 was spending 30 hours a week reviewing all this information, and they were making a lot of mistakes because they were doing it very quickly, so sometimes they would miss a critical paper or they wouldn't send it to the right person. And they were actually not reviewing a lot of information that could have been relevant to them because they didn't have the bandwidth. So they were only looking at 200 papers even though every week there are around 2,000 papers about Type 2 diabetes."