Episode

How AI is Designing Personalized Treatment Plans for Cancer Patients

Podcast
Healthtech Talks with Fexingo: Digital Health, Telemedicine, and Medical Software
Published
Jul 6, 2026
Duration seconds
595
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Canonical source
https://audio.fexingo.com/business/healthtech-talks/episode-0094.mp3
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https://audio.fexingo.com/business/healthtech-talks/episode-0094.mp3
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Markdown
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Summary

Episode 94 of Healthtech Talks with Fexingo explores how artificial intelligence is moving beyond diagnosis to actually design personalized cancer treatment plans. Lucas and Luna examine a real-world case at Memorial Sloan Kettering, where an AI system called CURATE.AI helped a patient with advanced prostate cancer find the optimal drug combination after standard therapies failed. The algorithm analyzed the patient's own tumor data and drug response in real time, adjusting doses weekly. The result: the patient's PSA levels dropped by 80 percent within two months. Lucas walks through the technical architecture behind CURATE.AI, the ethical questions around AI-driven treatment decisions, and how this approach is scaling to other cancer types. Luna challenges the readiness of regulatory frameworks and brings data on similar trials at MD Anderson and the Mayo Clinic. They also discuss the role of patient data privacy and the need for diverse training datasets. This episode is for clinicians, healthtech builders, and anyone curious about the next frontier in precision oncology. #CURATEAI #PersonalizedTreatment #CancerAI #PrecisionOncology #MemorialSloanKettering #MDAnderson #MayoClinic #ProstateCancer #DrugCombination #AIDosing #HealthtechAI #ClinicalDecisionSupport #FDAApproval #PatientDataPrivacy #BusinessAndTechnology #FexingoHealthtech #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo