
Every trial starts with a number on a slide, patients needed, months allotted, a clean straight line on a chart. Liam and Ted pull that line apart in this episode, starting with Lasagna's Law: the 1970s observation that eligible patients seem to vanish the moment a trial opens and reappear the moment it closes. They dig into why recruitment forecasts go wrong not because the math is bad, but because the assumptions underneath the math are never tested, tracked, or even written do...
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Ep 2.30: Scott Burgher on Where AI Actually Helps Patient Recruitment (Part 3/3)

Ep 2.29: "That's Not a Performance Problem, It's a Structural One" Scott Burgher on Why Sites Stop Recruiting (Part 2/3)

Ep 2.28 Scott Burgher on Why 86% of Trials Miss Their Enrollment Deadline (Part 1/3)

Ep 2.27: 31 Years of Clinical Trials, Here's What Ted Trafford Knows for Sure
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