~/talk

The algorithm for precision medicine

Talkat Crunch Conference 2019 · 2019-10-17..10-18· [machine-learning]
links:none on file
slides:none on file

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.

AI-written summary · about

  1. 0:00Start
  2. 5:32genetic disease: 1 or 2 mutations
  3. 11:38planarian worms
  4. 21:232nd way: Artificial intelligence
  5. 21:42logical reasoning
  6. 27:36Great faculty and staff!
  7. 41:43pseudomonas
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