
In this episode of From Models to Medicine, we sit down with Minna Schmidt, a postdoctoral researcher at the Buck Institute for Research on Aging. Minna walks us through Braak's hypothesis and the emerging "brain-first vs. body-first" framing of the disease, explaining how symptoms can appear up to 30 years before a clinical diagnosis is ever made. We also get into the data side of the work. Minna uses a dataset with over 54,000 participants and talks honestly about what AI actually does and doesn't unlock when you're staring down that volume of microbiome and clinical data. She uses LLMs to organize her thinking, speed up literature reviews, and learn basic programming, while being clear-eyed about where the field's biggest bottleneck actually is: not the tools, but the data itself. ----------------------------------------------------------------------This episode was sponsored by CleanSpace. CleanSpace designs, manufactures, and installs advanced controlled environments—delivering complex projects months faster with guaranteed costs and uncompromising performance. Please contact Chelsea for more information or with any questions at CLauridsen@CleanSpaceus.com.
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Episode 10: When AI Gets It Wrong, Patients Pay the Price

Episode 9: Mitochondria, Machine Learning, and a Few Hard Lessons

Episode 8: The Equity Gap in Diagnostic AI

Episode 7: AI at the Bench: The New Wet Lab Workflow
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