An artificial intelligence (AI) model trained using sequential health information derived from electronic health records identified a subset of individuals with a 25-fold risk of developing pancreatic cancer within 3 to 36 months, according to results presented at the American Association for Cancer Research (AACR) Annual Meeting, held April 8-13 in New Orleans. This presentation, and other meeting presentations/sessions, can be viewed on the virtual platform by registered meeting participants through July 13, 2022. Registration can be done here. Over 19,000 scientists and physicians registered for this premier cancer conference, with ~80% (~15,200) attending in person and ~20% (~3,800) attending virtually. The AACR has over 50,000 members worldwide. “At the moment, there are no reliable biomarkers or screening tools that can detect pancreatic cancer early,” said Bo Yuan, a PhD candidate at Harvard University, who presented the study. “The purpose of this study was to develop an artificial intelligence tool that can help clinicians identify people at high risk for pancreatic cancer so they can be enrolled in prevention or surveillance programs and hopefully benefit from early treatment.”