Thomas Durant, MD

Dr. Thomas Durant is an Assistant Professor of Laboratory Medicine and Biomedical Informatics and Data Science at the Yale School of Medicine. He is the Medical Director of Chemical Pathology and Laboratory Informatics at Yale-New Haven Hospital and the Associate Director for the ACGME Chemical Pathology Fellowship. Dr. Durant's research embodies a practical approach, concentrating on quality care initiatives, laboratory outcomes, statistics, machine learning, and artificial intelligence applications in pathology and clinical laboratory medicine. His primary research interests lie in clinical informatics and the innovative use of data management technology to extract valuable insights into laboratory quality and overall operations for enhanced patient care. Among his ongoing projects are investigations into stream processing of interface data for automated sample identification for subsequent biobanking, as well as machine learning endeavors such as the utilization of 'very deep' convolutional neural networks for the automated classification of digital images obtained in clinical laboratories, graph neural networks, and quantum machine learning.