AI-powered digital transformation in healthcare and life sciences
summary
Claims concrete results: UBC uses deep docking on ZINC15 (1.36 billion compounds) to prioritize candidates, first to publish a billion-plus virtual docking campaign using only 4 GPUs for the initial billion+ run, then scales to 40 billion molecules screened in 10 days on a Dell HPC/A I supercluster; a Canadian hospital builds a data platform and AI sandbox with a Boomi data catalog to extract EMR records (the hardest step) and consolidate dozens of sub‑optimized AI projects.
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chapters (20)
- 0:00Introduction
- 1:04Agenda
- 1:46Challenges in healthcare
- 2:26Top 3 challenges in healthcare
- 2:41Confidence in AI
- 2:56Challenges in drug discovery
- 4:01Traditional drug development
- 5:20Molecular docking
- 6:15Challenges
- 7:57Deep learning
- 8:34Testing
- 9:24Results
- 9:48Working with COVID
- 11:06Working with UBC
- 12:17Building a data platform
- 13:15Architecture principles
- 14:31New use case
- 15:36Ready solution
- 16:44Personalized medicine
- 20:25Best practices
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