
In this episode of From Models to Medicine, we sit down with Mark Amouzgar, co-founder and CEO of March Health. Mark opens with a striking stat: general-purpose AI models are only about 60% accurate in women's health. Sounding confident isn't the same as being clinically safe, and in this episode he breaks down exactly why generic AI was never built for this.We get into how March Health built a gender-aware digital twin, what it takes to wrap a model in real clinical logic, and why the average endometriosis patient sees eight different doctors before getting an accurate diagnosis. It's a candid conversation about a problem that doesn't get nearly enough attention.-------------------------Sign up for KAMI Think Tank's Maven course here!
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Episode 24: Beyond Correlation - Teaching AI the Rules of Biology

Episode 23: When Biologists Start Thinking Like Engineers

Episode 21: Glass Box Wins - What Pharma Actually Trusts in AI

Episode 20: The Build vs. Buy Question Every Pharma Leader is Wrestling With
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