Artificial intelligence collaboration seeking to hasten COVID-19 insights

IMAGE: Purdue University is joining with other organizations for an initiative to accelerate global collaborative research on COVID-19 through access to high-quality, real-time multi-center patient datasets. WEST LAFAYETTE, Ind. - During the COVID-19 pandemic, health care professionals and researchers have been confined mostly to using local and national datasets to study the impact of comorbidities, pre-existing medication use, demographics and various interventions on disease course. Now, Purdue University is joining with other organizations for an initiative to accelerate global collaborative research on COVID-19 through access to high-quality, real-time multi-center patient datasets. The National Science Foundation has provided funding to develop the Records Evaluation for COVID-19 Emergency Research (RECovER) initiative. Researchers are testing predictions of artificial intelligence drug discovery platforms from the lab of Gaurav Chopra, an assistant professor of analytical and physical chemistry in Purdue's College of Science, on patient datasets across a network of health care institutions.