
Practical AI for Clinical Research w/ Jeremy Franz
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John Reites and Jeremy Franz explore the practical applications of AI, focusing on its use in data analysis and research. Jeremy shares his extensive experience with AI, discussing the evolution from classical NLP to modern large language models (LLMs) like GPT-3. They delve into various use cases, including how AI can assist in synthesizing information, generating insights from data, and transforming complex data into engaging presentations. The discussion emphasizes the importance of understanding AI as a tool that can enhance productivity and decision-making in various fields.
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The views and opinions expressed by John Reites and guests are provided for informational purposes only. Nothing discussed constitutes medical, legal, regulatory, or financial advice.
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Podcast Overview
Inclusion Criteria is the clinical research podcast that explores global clinical trials, drug development, and life‑science innovation. Each episode pairs need‑to‑know headlines with candid conversations featuring leaders that work in clinical research everyday, entreprenuers and startup founders, pharmaceutical R&D directors, CRO strategists, patient engagement advocates, and digital health pioneers. From decentralized and hybrid trials to real‑world evidence, diversity in recruitment, GxP compliance, AI‑powered everything, and regulatory shifts, we unpack the trends shaping tomorrow’s therapies.
Whether you’re a clinical operations professional, startup entreprenuer, research nurse, study coordinator, medical monitor, data scientist, CRO intreprenuer or brand‑new CRA, you’ll gain actionable insights, fresh perspectives, and a network of forward‑thinking peers. No sales pitches - just authentic, story‑driven dialogue that spotlights breakthroughs, lessons learned, and the human side of research.
Watch on YouTube and listen on Apple Podcasts, Spotify, or wherever you listen to your podcasts. Join the conversation that’s advancing clinical research education and innovation — one discussion at a time.