The Algorithm for Precision Medicine

on YouTube ↗53m

" summary

Claims that data becomes the most powerful therapeutic agent and that precision medicine is best expressed declaratively. Uses the Translator/Medici Canon knowledge graph plus logical inference rules to connect genes, drugs and phenotypes. Concrete results: 40 predictions by March for COVID and 200,000 compounds screened in docking, yielding ~70 candidates, 14 FDA drugs and a lab-validated hit; a MAPK8IP3 case responds to high‑dose retinoids, ADNP autism shows ketamine‑linked biomarker and clinical benefit, cataplex drops from ~150 to 0 with amphetamines, and ENG1 deficiency improves with glucosamine and model organism validation.

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" chapters (17)

1. 0:00Precision medicine algorithm intro
2. 2:13Data as medicine
3. 7:07Two phases of precision medicine
4. 11:45Drug screening process
5. 13:28Patient case studies
6. 16:57Biomedical data translator Oracle
7. 18:40Declarative programming in knowledge graphs
8. 21:48ADNP autism treatment discovery
9. 24:18Cataplexy treatment insights
10. 27:25COVID-19 therapy predictions
11. 29:12Rare disease personal journey
12. 37:27Epilepsy treatment success
13. 38:31White House Precision Medicine Initiative
14. 40:28Drug target docking simulations
15. 44:37Algorithm parallel nature
16. 47:46Patient-to-treatment expression
17. 50:16Cyclic vomiting treatment

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