This is a big deal, folks. Very good explainer @NYTScience https://t.co/6xMkzEGjeY
Who's Who of AI
Eric Topol
Why they matter
Directory member with public evidence across AI business, AI research.
- AI signals
- 9 past 30d
- Sources
- 4 distinct domains
- Discusiones
- 1 past 30d
- Latest signal
- 1d 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
nytimes.com
nytimes.com
Generalizable AI predicts immunotherapy outcomes across cancers and treatments - Nature Medicine nature.com
The shrinking landscape of linguistic diversity in the age of large language models - Nature Human Behaviour nature.com
Why Scientists See AI Leaders as False Prophets theinformation.com
Plasma proteomic signatures of cellular aging predict human disease - Nature Medicine nature.com
wsj.com
nytimes.com
wsj.com
wsj.com
wsj.com
economist.com
Articles & links
Exciting to see this, especially notable if confirmed in larger and independent studies "“These are methods we will use in future trials."—@Dr_Bischof Coverage @nytimes @CadeMetz https://t.co/oDcP4bkkUF
Using AI to improve cancer immunotherapy outcomes, via training from transcriptomes of 10,000 tumor samples, 33 cancer types @NatureMedicine https://t.co/Q6UfVQ6wMV
LLMs--> LLD (less language diversity) https://t.co/pcWXXTQ0MC @NatureHumBehav
AI Weekly's analysis
→
- A four-study paper in Nature Human Behaviour finds LLM writing assistants preserve content but homogenize style, muting individual voice.
- Classifiers that infer age and gender from writing lose accuracy once text has been polished by an LLM, the paper reports.
- The USC team ran the same tests across GPT-3.5, LLaMA 3 and Gemini and across Reddit, Patch News and arXiv datasets.
Read full analysis →
On AI curing all diseases theinformation.com/articles/ai-...
The landmark paper https://t.co/NfWXRgvgGg And our review https://t.co/8HHazZKxnj free access https://t.co/9Bz5SRiKCI https://t.co/xyUYJMEHGJ
A year ago the majority of expert and superforecasters predicted it would not be until 2040 that Ai would solve a Millennium Prize Problem gift link https://t.co/bqxU04m30O https://t.co/NXGwm7BIos
AI for male infertility "Across 175 cases [of azoospermia] , the [AI] STAR system has found and recovered sperm 26 percent of the time." gift link https://t.co/8tow2fuSoG https://t.co/JOADVzHOQH
AI is improving the diagnosis of rare diseases. gift link https://t.co/XygFmnOzjF An example @MayoClinic, where AI ECGs have been routinely implemented (one of very few health systems) https://t.co/noN3JxMqB2
The case for AI to deliver concierge medicine (by a health longevity company founder) gift link https://t.co/RTDhV8psBP https://t.co/YqEyUzZN9U
More on this and that "clinicians are skeptical" by @AlexLJanin gift link https://t.co/o3Dh1pFWXe https://t.co/0NG2g1WAXG
We humans need to get better at differentiating what is AI written https://t.co/EXGNx5KOwG https://t.co/bGSKdYaEc3
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.
I'm keen on AI having a transformational impact on human health. But these cure projections are wildly off-base and impossible.
Their network
In Eric Topol's orbit
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