Episode
How AI Is Matching Patients to Clinical Trials in Minutes
- Published
- Jun 30, 2026
- Duration seconds
- 497
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Summary
Finding the right clinical trial is still one of the most manual, time-consuming parts of oncology care — often taking weeks and relying on harried nurses flipping through eligibility criteria. This episode looks at how a new wave of AI-powered matching platforms is changing that. Lucas and Luna focus on a specific case: how a system built by a startup called Trialpath — now used at a major U.S. cancer center — cut trial-matching time from an average of 14 hours per patient to just 18 minutes. They walk through how the AI reads unstructured electronic health record text, cross-references thousands of trial protocols, and surfaces matches that clinicians might miss. They also talk about the catch: why hospitals are still skeptical of the results, and what it will take for these tools to become standard. A concrete, numbers-driven look at one of the most promising efficiency plays in clinical research. #ClinicalTrials #AIinHealthcare #TrialMatching #HealthTech #Oncology #Trialpath #EHR #MedicalAI #ClinicalResearch #CancerCare #Business #Technology #HealthcareInnovation #PatientRecruitment #FexingoBusiness #BusinessPodcast #HealthtechTalks #DigitalHealth Keep every episode free: buymeacoffee.com/fexingo