Dr. Tavpritesh Sethi is a physician-scientist and Associate Professor of Computational Biology at Indraprastha Institute of Information Technology Delhi, India and a fellow of the Wellcome Trust/DBT India Alliance at All India Institute of Medical Sciences, New Delhi, India. Dr. Sethi specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence. His research is focused on development and deployment of machine-learning based solutions to enable decisions and policy in pressing healthcare questions such as antimicrobial resistance, sepsis and health inequalities in intensive care and public health settings. He was a recipient of MIT-TR35 India Innovators under 35, Wellcome Trust/DBT India Alliance Early Career Award.
In many ways, the future of diagnostics lies in technology, machine learning, molecular biology and cutting-edge R&D. According to the Future Healthcare Journal, AI will be increasingly applied within healthcare , especially for the tasks of diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities of the healthcare workforce. What does this mean for the treatment and prediction of future pandemics and for cutting edge research across medicine? Our diverse panel of experts seeks answers for you.