Part I: The Preclinical Signal in Routine Abdominal CT: How Mayo's REDMOD and the Pre-Diagnostic Pancreas Force a Rethink of Cancer Screening Math, Workflow Economics, and the Multimodal Future of Risk Inference

Quick Links: Knowledge Base, Podcast, and SocialKnowledge Base — search and filter every article and podcast episode by topic, section, and keyword: kb.onhealthcare.techListen to the Podcast — every article is also available as an audio episode. Free subscribers get the public episodes; paid subscribers get the full archive including subscriber-only episodes. Listen on Apple Podcasts, Spotify, or browse all episodes on the Substack Podcast page.For paid subscribers — your subscription unlocks the entire research archive (538+ deep-dives), every paid podcast episode, and full search inside the Knowledge Base. To listen to paid episodes in Apple or Spotify, link your Substack subscription via the show settings on those platforms (instructions inside the Substack app under Subscriptions → Podcast).For free subscribers — free posts and free podcast episodes are always public on Apple/Spotify and Substack. Upgrade any time at onhealthcare.tech/subscribe to access the paid archive and paid episodes.Follow on Social — X · YouTube · TikTok · InstagramMayo Clinic's REDMOD study demonstrates that pancreatic cancer leaves detectable morphological signals in routine abdominal CT scans obtained for unrelated indications up to 18 months before a formal diagnosis. This episode examines what that finding means for cancer screening economics, workflow design, and the multimodal future of risk inference.Part I covers the REDMOD study design, the specific morphological signals the algorithm detects, and why opportunistic screening on existing imaging is a fundamentally different economic model than dedicated screening programs. Part II examines the reimbursement pathway, the workflow integration requirements for radiologists and ordering physicians, and the competitive landscape for AI-assisted pancreatic risk detection. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.onhealthcare.tech/subscribe