USING AI TO PREDICT PANCREATIC CANCER: SPEAKERS

Dr. Barbara Kenner (Moderator)

Kenner Family Research Fund and WPCC Steering Committee

Dr. Barbara Kenner is a founding partner of Neuropsychological Assessment and Consultation Services LLP, which provides neuropsychological assessment services for children, adolescents, and adults. She earned her PhD from New York University Steinhardt School and completed pre- and postdoctoral fellowships at Mount Sinai Medical Center in New York City. A past member of the NYU Steinhardt Dean’s Council, Dr. Kenner has received the school’s Distinguished Alumna Achievement Award. She also serves on various boards, including the American Pancreatic Foundation, Weizmann Institute’s Women in Philanthropy, and Bard College Music Festival.

Dr. Chris Sander

Department of Systems Biology at Harvard Medical School

Chris Sander is an internationally recognized expert in computational and systems biology, with recent focus on to the use of artificial intelligence in biomedicine. He has extensive experience in cancer genomics, was a leader in The Cancer Genome Atlas (TCGA) project. His group created the widely used cBioPortal for Cancer Genomics. His current research includes: (1) deriving AI-enabled quantitatively predictive network models from high-throughput molecular profiling (Cellbox); (2) rendering human biological knowledge computable and accessible, as an aid to biomedical discovery (cBioPortal, Pathway Commons); (3) using evolutionary constraints derived from rich sequence information to predict previously unknown 3D structures of biomolecules and to elucidate protein function (EVcouplings) and (4) using artificial intelligence methods applied to trajectories of real-world clinical records (EHRs) to develop surveillance programs for patients at high risk for agressive cancers.

Dr. Søren Brunak

Disease Systems Biology at the University of Copenhagen

Søren Brunak is a professor of Disease Systems Biology at the University of Copenhagen. His research group combines genetic data with analysis of electronic patient records, disease registry information and biobank questionnaires) to understand patients who suffer from several disease simultaneously (multimorbidities). Data over time from millions of patients are analyzed as disease trajectories. He has published more than 450 papers in international peer reviewed scientific journals, co-authored four books, including text-books and within popular science. Søren lives in Copenhagen, Denmark, with his wife, and has four children. In his free time he enjoys repairing old houses, both in Denmark and in Italy.

Webinar: Using AI to Predict Pancreatic Cancer

Date: Tuesday, 17 October 2023

Time: 3PM EST | 12PM PST (19:00 UTC)