How AI Is Matching Clinical Trials to Patients in Minutes

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How AI Is Matching Clinical Trials to Patients in Minutes

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Every year, thousands of cancer patients never learn about clinical trials that could save their lives. In this episode of Healthtech Talks, Lucas and Luna dive into the quiet revolution of AI-powered clinical trial matching. They focus on a specific case: how Tempus, a Chicago-based healthtech company, built an algorithm that scans electronic health records against trial eligibility criteria in under 60 seconds — a process that used to take a human research coordinator six to eight hours per patient. Lucas breaks down the numbers: 80% of clinical trials fail to meet enrollment timelines, and 30% of cancer patients say they would have considered a trial if they had known about it. Luna raises the data-quality question — what happens when a patient's record has missing or unstructured data? — and Lucas explains how natural language processing fills the gaps. They also touch on the ethical tension: does AI match patients to trials they're eligible for, or ones they'd actually benefit from? By the end, listeners understand both the technical breakthrough and the human stakes. No hype, just the mechanics and the moral questions. #Healthtech #ArtificialIntelligence #ClinicalTrials #Tempus #CancerCare #PatientMatching #NLP #ElectronicHealthRecords #Oncology #ClinicalResearch #HealthTechTalks #Fexingo #FexingoBusiness #BusinessPodcast #BusinessAndTechnology #HealthInnovation #AIinHealthcare #PrecisionMedicine Keep every episode free: buymeacoffee.com/fexingo

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