Eric Topol

A new cover for SUPER AGERS after making the NYT bestseller list. Thanks to you for making it the #1 ranked new non-fiction book on Amazon. amazon.com/gp/new-release…

@TruthDetector51 That's right!

@EricTopol Correct. x.com/TruthDetector5…

The aorta doesn't get enough respect. Even though it's uncommon, in someone who presents with chest pain, especially severe, we were trained to rule out aortic dissection before anything else. Most likely Senator Graham had a Type A dissection and longstanding hypertension. If obtained previously, an echocardiogram or other image may have revealed a widening or aneurysm of the thoracic aorta. nature.com/articles/nrdp2…

@CharlesMBrenner @grok Brilliant. You might want to read the article before asking @grok But just ignore the results of 7 studies we reviewed

@grok which is more likely: that some part of the human body rolls back its function from >70% expended to <25% expended between the ages of 60 and 70 versus people have taken conclusions from biomarker data that they don't fully understand and drawn absurd diagrams such as the one below

LInk erictopol.substack.com/p/medicine-is-…

An inflection point in medicine. Medicine is moving from calendars to clocks — from counting the years you've lived to measuring how fast you're aging. —It's not linear. —It's asynchronous, as seen by organs and cells in our body A "translation" of our review paper this week in the new Ground Truths Simplified image made with ChatGPT

@DrJawaadArif Agree and, as might be expected (and sadly), it is not evenly distributed, well shown in the NBER citation by Einav and Finklestein

@thekaransinghal Looks encouraging, Karan. Is there a preprint or a white paper to review with the methods and results?

♥️ GPT-5.6 is a major step forward for health, both at the frontier and at cost. These models push the frontier of performance per dollar, bringing the best health intelligence to all. The smallest variant, GPT-5.6 Luna, evaluated at the lowest reasoning effort, outperforms GPT-5.5 at the highest reasoning effort–despite costing 25x less. The largest variant, GPT-5.6 Sol, sets a new high bar at cost. Another especially cool result: physicians found fewer flaws in GPT-5.6 responses than physician-written responses. We collected diverse tasks that remain difficult for recent OpenAI models, across patient-facing and clinician-facing use cases. We asked speciality-matched physicians to write responses to these tasks with unlimited time and web access. We then asked other physicians to compare responses side-by-side, blinded to their source. Physicians were asked to comment on areas of improvement across five axes: accuracy, communication, completeness, instruction following, and health decision helpfulness. We then reported the fraction of responses across sources rated perfectly across all axes, across 20,000 total axis ratings. GPT-5.6 Sol appeared strongest, although all GPT-5.6 models performed significantly better than physicians.

The good news is that there's some evidence from economic and utilization data that US healthspan is expanding, i.e. some compression of morbidity, less "sickspan" —additional 2.4 years of remaining life expectancy were entirely healthy – free of physical or cognitive limitations —expected amount of time spent with severe health limitations fell by about 30%, reducing expected lifetime nursing-home and home-health use —In 2024, Americans spent $1 trillion less than forecast, most coming from reduced utilization (Figure) nber.org/papers/w35346 nber.org/papers/w35231

Not what is needed. "Physicians trusted the AI’s classifications and did not use the available information to override the erroneous classification." journals.plos.org/digitalhealth/…

@CristinaDragani Thank you!

@EricTopol Congratulations on the new review in Nature Medicine! 👏 What an exciting time for the science of aging. Biological clocks are truly game-changing for understanding healthspan and longevity.

The science of human aging is flourishing, perhaps best exemplified by remarkable advances in organ and cellular clocks, tracked from proteins in the blood. These clocks tell us about the pace of aging within an individual and are linked to healthspan, longevity, and diseases. @wysscoray and I reviewed the field of biological clocks, published today @NatureMedicine free access rdcu.be/fsZ3h

Looking forward to chopping it up with @EricTopol in an hour on @Substack Live! open.substack.com/live-stream/26…

Stellar review of the recent and remarkable advances vs Alzheimer's disease (AD). Towards "a future where AD is not only treatable but also preventable." @CellCellPress cell.com/cell/fulltext/…

In China, "primary care providers can capture retinal images and receive instant AI-based grading for 14 common retinal abnormalities, with accuracy comparable to that of tertiary-care ophthalmologists" And will be used for assessing other health risks (such as Alzheimer's, Parkinson's, chronic kidney disease) thelancet.com/journals/lance…

An AI summary of Biomni capabilities, by @NotebookLM

Called Biomni, its performance surpassed LLMs it was assessed against and exhibited capability for diverse tasks that include drug repurposing, rare disease diagnosis, single-cell annotation, causal gene identification, molecular cloning, protein stability, design and orchestrating wet-lab experiments, and more

Just published @ScienceMagazine Impressively broad range of life science research getting done autonomously with agentic AI to accelerate discovery science.org/doi/10.1126/sc…

my summary of the data on the Shingles vaccine erictopol.substack.com/p/spotlight-on…

Good summary on the global reduction of dementia and the multiple natural experiments with the Shingles vaccine @TheEconomist economist.com/leaders/2026/0… economist.com/briefing/2026/…

We don't age in a linear, gradual pattern. A compilation of 7 studies shows there are 3 waves

The generations of biological clocks to track human aging