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Key Points Question Can machine-learning techniques using available patient data provide valuable information on treatment response and prognosis among patients with pancreatic ductal adenocarcinoma (PDAC) who do not produce cancer antigen 19-9 (CA19-9)? Findings In this cohort study, a machine-learning–derived electronic tumor marker (e19-9) was trained to predict the expected CA19-9 level among patients with PDAC and elevated CA19-9 levels.
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