S1, E28 - Adam Blum: AI-Powered Clinical Trial Matching

About this episode

Adam Blum discusses his development of CancerBot, an AI-powered service for clinical trial matching.

When Adam Blum was diagnosed with follicular lymphoma, he tried over a dozen commercial trial matchers. None returned actual matches. So the serial AI entrepreneur built CancerBot, a free precision-matching service that assesses 100% of eligibility criteria — not the five surface-level attributes most matchers use. On this episode, Blum explains the Prompt Workbench (where biomedical experts refine extraction prompts to above 90% accuracy), how conjunctive normal form makes complex eligibility logic tractable, and why "best trial" means something different for every patient. A masterclass in AI scaffolding for healthcare.

People in this episode

Hosts: Steven Labkoff, MD, Leon Rozenblit, JD, PhD

Guest: Adam Blum

Topics covered

• AI in healthcare
• clinical trials
• precision medicine
• eligibility criteria
• biomedical expertise

Keywords

• AI
• clinical trial matching
• CancerBot
• eligibility criteria
• biomedical experts

Mentioned in this episode

Organizations: Prompt Workbench, follicular lymphoma

Products: CancerBot

More episodes of Practical AI in Healthcare

• S1, E40 - Jeff Smith — AI Regulation, Transparency & Innovation from the Government Perspective · June 7, 2026 · 44 min
• S1, E39 - Sarah Rossetti, RN, PhD: Nursing Informatics & the CONCERN Early Warning System · May 31, 2026 · 53 min
• S1, E38 - Reflections 5: How Specialized Does AI Have to Be to Actually Work? · May 24, 2026 · 35 min
• S1, E37 - Danny van Leeuwen, MPH, RN, Health Hats: Patient's POV on AI Tools · May 17, 2026 · 42 min
• S1, E36 - David Hidalgo-Gato, Founder & CEO, Cleo Health: Going a Mile Deep on Emergency Medicine — Specialization, Design Partnerships, and the Acute Care OS · May 10, 2026 · 50 min
• S1, E35 - Barry P. Chaiken, MD, MPH: Physician-as-Patient Perspective on AI in Healthcare · May 3, 2026 · 54 min