Vardhanreddy

The multitude of ways that jack up American healthcare costs (without improving outcomes) @armollica @WSJGraphics @annawmathews gift link wsj.com/health/healthc…

@Paddy_Barrett x.com/vardhanreddymd…

In many heart attack patients, the culprit artery had <50% narrowing before rupture. Heart attacks are about plaque instability, not just obstruction.

Most of the Heart Attacks are due to Plaque rupture from unstable plaque and not from severe stenosis. High LDL Cholesterol is the main culprit. Aim for <55mg of LDL C

Carotid artery stenting in asymptomatic disease: a new paradigm after CREST-2 trial. Read this Viewpoint in #EHJ 👉 ow.ly/pwfv50YBwHq @RoccoMontone @ehj_ed

Space

Rapid recursive improvement

🚨 The 2026 ACC/AHA Dyslipidemia Guidelines are here, and CAC scoring just got a Class 1 recommendation for guiding statin therapy decisions in intermediate-risk patients. Key updates: ➡️ CAC = 0 may allow withholding statins ➡️ CAC ≥100 AU or ≥75th percentile → statin therapy recommended ➡️ CAC ≥1,000 AU → intensive LDL-C targets ➡️ PREVENT-ASCVD equations now guide primary prevention ➡️ Lp(a) testing at least once in a lifetime Big shift in how we risk-stratify and treat. Worth reading the full guideline. 👇

Life for a girl dad can feel this fast sometimes🤍

While every medical specialty will benefit from digital health and AI, some will especially thrive thanks to these innovations. Here, I listed the top medical specialties with the biggest potential for development in the future. Read on: medicalfuturist.com/medical-specia…

This is a handheld X-ray from KnovelCam.  Lightweight, portable, and works right at the bedside! But it triggered a bigger question: What happens when powerful medical technologies become too accessible? When technology becomes: • smaller • cheaper • easier to use • directly accessible to patients Then it changes human behavior. With handheld imaging devices, the risk is overuse, unnecessary scans, and people underestimating radiation exposure because the device "looks harmless". We’ve already seen similar behavioral shifts with: • Continuous glucose monitors used without medical indication • Direct-to-consumer genetic tests interpreted without context • Full-body MRI scans marketed as preventive screening • Health wearables creating anxiety from perfectly normal data So what other digital health and medical technology comes to mind that you think patients will definitely abuse?

In case you missed it the first time around

After the longevity package I experimented with last year, here are all the medical screenings, habits, lifestyle choices and longevity efforts I put into 2026 to try to live a long and healthy life. What do you think I'm missing?

@EricTopol @MikkaelSekeres Some cancer preventing foods are omitted in the article, e.g. extra virgin olive oil, turmeric, and organic food consumption. jamanetwork.com/journals/jamai…

Food intake to lower the risk of cancer I agree with the recommendations and evidence reviewed by @MikkaelSekeres here gift wapo.st/4kExwKc

Private school in NYC is 70k College is $90k I asked @claudeai to make me a model of how much you would give to your kids over time if you put this into the markets, went to public school and skipped college. How on earth does private school make sense vs this?

"The term [provider] should not be used to describe physicians, nor should physicians use it to describe themselves, their team members, or their trainees." acpjournals.org/doi/10.7326/AN… @AnnalsofIM @ACPIMPhysicians

@MichaelAlbertMD Doctors with AI knowledge will replace the doctors without AI Knowledge

AI “doctors” can’t—at least for now—write prescriptions, examine patients, order diagnostic tests, or perform surgery. Those limitations aren’t going away anytime soon. I’ve worked on healthcare AI for over a decade, and for that entire time I’ve been told clinicians would be replaced “within 5–10 years.” Could I eventually be replaced? Maybe. If that happens, I’ll adapt. The skills I’ve built translate well beyond medicine—and I’ll move on just fine.

SO SAD: This is why I don’t care how many illegal immigrants are deported or the methods used and I don’t care how many drug boats President Trump blows out of the water. A 19 year old is gone because he took one hit from a vape pen with a bad fentanyl laced cartridge.

Your phone estimates steps. Your watch estimates REM cycles. Your ring estimates HRV. Your scale estimates body composition. So much data, and no one interpreting it all. But this data is MEANINGFUL! New Stanford/Nature Medicine research trained a foundation model on 585,000+ hours of overnight polysomnography (PSG) and predicted 130 conditions from a single night (sleep-clinic population, not the general public): mortality, dementia, heart failure, Parkinson's, etc., with large gains vs a demographics-only baseline. This is lab PSG, not today's consumer wearables, but it's a preview of what higher-fidelity, next-gen wearables can unlock: clinically meaningful signals from physiological data that routine clinical interpretation doesn't fully use today. Our near future: Your AI doctor has safe, private access to your health data: next gen wearables, labs, records, and more. It never trains on or shares your data. It just synthesizes it all for you. You're not drowning in dashboards. Your AI doctor is separating signal from noise. Turning terabytes into a suggestion: here's what matters for you right now, here's what to do. nature.com/articles/s4159…