Eric Topol retweeted
Today there's a special outstanding @ScienceMagazine issue on GLP-1 drugs, obesity and adipose tissue
science.org/doi/10.1126/scie…
A thread below to summarize some of the papers
Eric Topol retweeted
🎙️Two opportunities to hear from Eric Topol, MD, at #ScientificSessions26!
Don't miss the Opening Session as he explores emerging trends and innovations shaping future directions in cardiovascular medicine.
📅 Nov. 7 | 8-8:30 AM CT
📍 Center Stage
Then, join Eric Topol and Joanna Chikwe, MD, FRCS, FAHA, for a live recording of the Ground Truths podcast.
📅 Nov. 8 | 11:30 AM CT
📍Special Session Room
Eric Topol retweeted
As #ArtificialIntelligence becomes increasingly embedded in clinical care, many systems rely on a "human-in-the-loop" model in which clinicians review and approve AI-generated recommendations. A new commentary suggests that this approach may be less effective than intended when clinicians face high workloads and limited time to review AI-generated outputs. The authors call for stronger oversight, testing, and monitoring of these technologies as their role in health care continues to expand. bit.ly/47O9R4l @EricTopol @pranavrajpurkar
Eric Topol retweeted
We're unable to measure our immune system status in the clinic. But that is about to change.
Our @nature piece today, w/ @HugoAerts @nbirkbak @TsangLab
nature.com/articles/d41586-0…
Eric Topol retweeted
Just published @ScienceMagazine
Higher medical accuracy at lower cost
A 3-agent AI for sequential diagnosis nearly doubled accuracy compared with physicians for >300 @NEJM CPC cases and >300 ER cases AND substantially lowered cost, also exceeded performance of many AI models, physicians plus AI @HarshaNori
@erichorvitz @Dominic1King @mustafasuleyman
Eric Topol retweeted
This is a remarkable story @RadicalNumerics and a real use case of how AI can be used for new treatments.
Quite a lede
"For the first time, scientists say they have used viruses designed by AI to treat a human patient."
Front page @nytimes
gift link nytimes.com/2026/10/20/scien…
Eric Topol retweeted
Scripps Research today received 14M+ compute hours from the Jen-Hsun and Lori Huang Foundation. Led by @WardLab1, the grant also supports @bryanbriney and @ForliLab on a virtual human immune system and the “dark” proteome, with data from @_chrisgparker_ and Benjamin Cravatt.
More: ow.ly/gOzA50ZZ2iJ
Eric Topol retweeted
Replying to @GretchenReynold
@GretchenReynold ... nice piece on knees. It was most impressive how the photographer was able to run with me for 5 miles while carrying cameras and a flash.. LOL
wapo.st/4dDWUNP
Eric Topol retweeted
A seminal paper on aging of our immune system was just published. From study of over 12 million single-cells in 8 cohorts, >2,600 individuals, ranging in age from 18 to 98. Yielding a practical blood test. And much more.
A Tale of Two T cells
In the new Ground Truths
Eric Topol retweeted
Semaglutide (Ozempic) consistently reduced proteomic organ age 2-4 years for the heart, artery, and kidney clocks across 5 placebo-controlled trials
researchsquare.com/article/r…
Eric Topol retweeted
This was SO much fun!
Published today, there's a lot in Michael Lewis's new book we didn't know about. Including the NIH, unbridled assertion of power, and many civil servant heroes (the "blockers")
erictopol.substack.com/p/mic…
Eric Topol retweeted
Why do our cells age?
It's not just wear and tear, accumulated damage.
Loss of cell identity takes center stage.
A @Nature review today by @gladyshev_lab and connection with prior work that substantially advances the science of aging.
In the new Ground Truths.
Eric Topol retweeted
Wow, this is a pretty striking result for my Strong Epigenetic Theory of Aging: transplant an old heart into a young animal and the heart is rejuvenated. But transplant a young heart into an old animal, and it quickly ages to match the recipient.
This shows that biological age is not simply something an organ accumulates locally as irreversible “wear and tear.” Instead, to a large degree, it is a state imposed by the organism-wide environment.
The authors saw bidirectional remodeling of both DNA methylation and gene expression, with old hearts in young hosts moving toward youthful programs and young hearts in old hosts moving toward aged ones.
That is exactly what you’d expect to see if aging is a regulated, system-level state where the epigenome is acting as the writable control layer that tissues continuously adjust to the organism’s age.
TLDR of my Strong Epigenetic Theory of programmed aging: across biology, lifespan looks less like a fixed thermodynamic constraint and more like a control system with buttons:
•Stop: some organisms execute a timed, endocrine-driven post-reproductive die-off
•Slow: same genome but different life-history mode resulting in huge lifespan differences (e.g. caste transitions)
•Pause: states where “time stands still” (developmental arrest/diapause)
•Rewind: a true “Benjamin Button” mode in which organisms can reverse parts of their life history and become biologically younger
My claim is that mammals run the slow version: a centrally coordinated, post-maturation retuning of maintenance setpoints.
A few concrete hypotheses I argue for:
1.Aging begins at puberty (when mortality stops declining and starts rising). Puberty is the species-typical switch that flips growth/reproduction and, I think, maintenance policy.
2.The hypothalamus–pituitary axis is a plausible master tempo-setter of aging, because it already governs long-horizon state transitions (puberty, reproductive cessation, seasonal programs).
3.The epigenome is the writable operating system that turns transient endocrine signals into durable cellular state. Ultimately, the buck stops at the cell, where aging is executed as coordinated gene expression programs — and where partial reprogramming provides a real reset lever.
If you disagree, what observations would falsify this model?
Eric Topol retweeted
At the @ScrippsRTI, a team led by @EricTopol is studying whether exercise, nutrition and cognitive coaching programs can influence Alzheimer’s-related biomarkers in people at increased risk.
Learn more: ow.ly/GQKN50ZQi9C #WorldAlzheimersMonth
Eric Topol retweeted
"With all the advances in both the science of aging and [#AI], we are in a propitious position to accurately and precisely determine who is at high risk of developing #AlzheimersDisease years before signs of even mild cognitive deficit," writes @EricTopol in a #ScienceExpertVoices article.
Learn more on #WorldAlzheimersDay: scim.ag/3IexVUX
Eric Topol retweeted
In its pivotal clinical trial, the GRAIL test to detect early cancer failed its primary endpoint. It detected only 3 early cases per 1,000 people assessed. There were more false negative results (N=196) than true positives (N=133). Reviewed here erictopol.substack.com/p/the…
But you wouldn't know any of that if you read today's WSJ editorial!
gift link
wsj.com/opinion/a-grail-canc…
Eric Topol retweeted
Your wearable sensor gives you HRV and Readiness/Recovery/Fitness Scores.
What are they? Are they validated? Should you work to get these metrics higher?
erictopol.substack.com/p/the…
@ouraring @Apple @Garmin @WHOOP @eightsleep @googlehealth
Eric Topol retweeted
Over 100 million Americans use wearable sensors, including smartwatches, rings, and wrist bands. They provide data for HRV and Readiness scores. What is the story with these metrics?
Eric Topol retweeted
I've been applauding all w/e @EricTopol's dive into data (or lack) re: validity/robustness of wearable measurements, a topic I've explicitly highlighted as well. Reminds me of undergrad class w Jerome Kagan who taught giving measure name doesn't mean that's what it's measuring!
Your wearable sensor gives you HRV and Readiness/Recovery/Fitness Scores.
What are they? Are they validated? Should you work to get these metrics higher?
erictopol.substack.com/p/the…
@ouraring @Apple @Garmin @WHOOP @eightsleep @googlehealth



























