Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine https://t.co/Q6UfVQ6wMV
Who's Who of AI
Eric Topol
Why they matter
Directory member with public evidence across AI business, AI research.
- AI signals
- 1 past 30d
- Sources
- 1 distinct domains
- Discussions
- 1 past 30d
- Latest signal
- 25d ago
physician-scientist, author, editor
https://www.scripps.edu/faculty/topol/
Ground Truths https://erictopol.substack.com
SUPER AGERS https://www.simonandschuster.com/books/Super-Agers/Eric-Topol/9781668067666
What they're sharing
Generalizable AI predicts immunotherapy outcomes across cancers and treatments - Nature Medicine nature.com
Articles & links
Their own posts
Recent commentary
For treatment and outcomes for cancer, the tumor microenvironment is pivotal, but we've never had a non-invasive way to assess it. Until now, a blood test breakthrough! With sequencing >10 million cells + AI, discovery & validation of a blood test that informs response to therapy and prognosis.
Their network
In Eric Topol's orbit
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