The algorithm for precision medicine
summary
A parent discovers an ultra‑rare ANGEL1 deficiency by exome sequencing and builds a repeatable pipeline: go from genomic diagnosis to mechanism (overactive, underactive, absent, toxic), run computational screens (3D docking of ~200,000 structures yields 70 compounds, 14 already FDA‑approved) and validate in bench and clinic — one hit is prevacid. A knowledge‑graph AI (MediCameron) ingests ~30 million PubMed abstracts, suggests repurposes (sulforaphane, metformin), and metagenomic sequencing pinpoints Pseudomonas in a septic ICU case. The tools scale and produce actionable treatments.
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chapters (7)
- 0:00Start
- 5:32genetic disease: 1 or 2 mutations
- 11:38planarian worms
- 21:232nd way: Artificial intelligence
- 21:42logical reasoning
- 27:36Great faculty and staff!
- 41:43pseudomonas
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