More news on the health front. And oh boy, be careful... -> Perplexity launches Perplexity Health agent in US "Perplexity is preparing to enter the consumer health AI space with Perplexity Health, a dedicated section within its app that would allow users to connect health data providers, enter personal medical information, and access specialized AI agents, all within a secure, private environment." https://t.co/Ew92QxcVLF
Unlocking the full potential of cancer care starts with connected data. Proud of how Oracle is helping to bring adaptive, evidence-based oncology insights directly to the point of care.

How many people will trust Fitbit enough to upload their medical records to it? Google just unveiled that if they do so, its AI health coach would review the records to generate responses and recommendations. It might be a pivotal point in...
Jevons' paradox applied to clinical AI — In 1865, William Stanley Jevons noticed that the more efficient steam engines became, the more coal England burned — not less. He observed that increased efficiency does not necessarily suppress demand. In some...
I've spent a lot of time thinking about UK healthcare (incl. chairing a 2016 NHS task force on digital transformation). Great to speak to top UK health policy journalist Alastair McLellan @HSJEditor for @HSJnews podcast on healthcare AI & "A...

Questioning the benefit of an implant to close the left atrial appendage vs medical therapy in a randomized trial @NEJM https://t.co/N0hpdIfmLe https://t.co/8bkk8FzLuY

Sharp take here from healthcare VC Sam Toole on the future of EHRs in an AI world. Do they become systems of record, and entrepreneurs can build systems of action that sit on top? Link to read the full piece...

What if we could engineer T cells in the body, making CAR T vs cancer, autoimmune diseases, and other applications far more practical, much less expensive? A step forward today via genome editing T cells https://t.co/FjgQA8NUlu https://t.co/XXk43WL1ac https://t.co/rpC7eCAlJH

This is @Flexpa. @Flexpa enables patients to instantly share verified health records with any provider via a QR code. A big thanks to @USDS for helping enable the vision and mission of Flexpa: Flexible Patient Access. https://t.co/fD0qjuBtWy
replace "customer service" with "primary care" - not to mention that the internet barely made a dent in primary care to begin with... hence the opportunity to leapfrog to Infinite Healthcare @CounselHealth @hippocraticai @sprinterhealth https://t.co/nSgvFePxTe
Is "textbook performance" enough for medical AI? The first independent stress test of ChatGPT Health is out in @NatureMedicine. The Good: Near-perfect triage for textbook stroke and anaphylaxis. The Bad: A 51.6% under-triage rate for true emergencies. But there’s a massive elephant in the...

80% of healthcare practices that invest in AI automation fail to see ROI. Not because the tools don't work, but because there was no digital strategy. Don't be the 80% See more & JoinUs https://t.co/05FgGDavR7 #healthcare #ai #businessautomation #smallbusiness #medical #doctor...
If you are vibe-coding apps for the healthcare sector I beg you - pay a deeply experienced technologist to audit it before anyone uses it. hipaa laws are no joke. I’ve personally been through the compliance audits, defending our encryption...

Automate The Admin, Elevate The Care #Medicalpractice that automates admin deliver better patient care, retain better staff, & outperform competitors still doing it manually. Join us & learn more https://t.co/PENQEeCDJr #businessautomation #AI #healthcare #digitaltransformation https://t.co/YK7jDCgLcK
Enhancing Clonal Hematopoiesis Variant Detection in Tumor-Normal Matched Sequencing Using Machine Learning [Mar 25, 2025] Sonnenschein et al. #AACR25 Abst 2388 https://t.co/69A2CDb1RO

AI and Digital Health are booming. In this book, we explain why now it's a good time to invest in Digital Health and give recommendations on where to invest by looking at the top 24 technological trends we find the...

LAST CHANCE for EARLY-BIRD: https://t.co/eN6PetWMGW How to avoid the biggest mistake athletes make with continuous glucose monitoring? https://t.co/LeoLb5ds7u

Our bottleneck for some of the biggest change ahead may be humans. I shared the story of Paul Conyngham and his dog Rosie on my Instagram when it broke. When I read the coverage, my shock was less that ChatGPT...

Hospital of the Future — Advancing smart, connected care through data-driven innovation. Join me for a deep @DigitalDHealth dive with @StephenKonya @jconleymd, Manish Ladha, and Casey Granak This Thursday at 10am PST / 1pm EST for our https://t.co/YGpenFx8zW Studio Series Register here-->...

This week's Editor's Choice highlights a study by Valette and colleagues that evaluates a feedback system to improve gait and perception when using a knee prosthesis. @rlvalette Learn more in Science #Robotics: https://t.co/pWQ3r6aGLs https://t.co/xqUZp2YyCH
This was a really informative event: @GoogleForHealth @google @fitbit @ALWMedSchool @HeartlandWHI @CMSSmed @AAN_Nursing are doing impressive work in #DigitalHealth and #WearableTech with the goal to advance health, healthcare and patient outcomes.

@Heartflow provides non-invasive coronary analysis from CT scans using AI. Founded 2010. IPO 2025. 600+ publications. ~1,450 US sites. Approx. 2.5 clients per paper. Medtech doesn’t scale like tech. Adoption is the hard part. https://t.co/dJElVTW4EA
It’s not one big delay that hurts care. It’s 60 seconds… repeated 100 times a day. Marianne Soucey explains how tiny workflow friction turns into real patient risk ↓ https://t.co/UjbpWUtOH1 @ConsensusCS @medq_inc #RSNA25 #HITSM https://t.co/6X9UwqHjHx

Neurodegenerative diseases at the single-cell level, a powerful tool to differentiate and better understand https://t.co/Pkz4qW0ELM @jclinicalinvest https://t.co/LiJ4FojRYZ
As some of you know, my dad has been fighting lung cancer for the past 2 years. If any of you have any experience with the medical system, you know that the family/patient have to be aggressive advocates. Doctors have...
Much of the conversation around healthcare and AI right now pits doctors and AI against each other. This is the wrong framing. Yes, it is important to have studies that look at how good AI is at various tasks that physicians...
This week on Lifers, Graham Walker is “sounding the alarm” for physicians. * 50% of medical students already plan to quit before they finish school. * Doctors are becoming "factory employees," losing their authority to care for patients. * Tech focuses on the...

Some clinical updates tell you exactly what they are. Others ask to be read twice. CytomX’s latest CRC data belong firmly in the second category. Is the die cast? https://t.co/dfdPxx4zXs https://t.co/y9QAoahMut

Congrats to @TurquoiseHC on their $40M Series C, led by @oakhcft — ~$100M raised in total. Turquoise is the healthcare price transparency platform trusted by 300+ of the largest health systems, insurers, life sci co's, and employers as...
A brain-computer interface allowed people with paralysis to type with their minds https://t.co/W5icU6ye8c via @statnews
AI can read the chart. But it can’t read the room. Today a patient’s story revealed something the algorithm didn’t flag. The future of medicine isn’t AI vs doctors. It’s Blended Intelligence, or “BI.” We need both. More in the video below 👇 https://t.co/7iwPleaAJD

F Cancer Why has AI had so little impact on Cancer? New essay, link below. https://t.co/cLsoh7c7do
HIMSS had a cat pit, a robot hand on someone's head, and an AI announcement from basically every vendor alive. But we liked other subtler stories: @HeyEpic soft-launching a pharmacy network product that perhaps could eventually take on @Surescripts, a...
« @RadNetImaging CEO Howard Berger, MD, said it has become increasingly critical to #reengineer high-volume #workflows. This is particularly pertinent in X-ray, ultrasound and mammography, where @gleamer_ai holds expertise. » 👌 🚀 https://t.co/wSqNyHlkXj

Introducing "100 Questions and Answers About Artificial Intelligence in Healthcare" - your essential guide to understanding the integration of AI and medicine. - Explore 100 essential questions, each offering concise yet insightful answers supported by research and real-world examples. - From the...

Innovation with genAI, predicting insulin resistance from wearable device data (for steps, heart rate, sleep) integrated with demographics and routine blood parameters. Without CGM. @aametwally1 @GoogleResearch @NatureMedicine https://t.co/PRZPLGjuxZ https://t.co/ShbFyO55qP
There is an opportunity to strengthen this whole #diet and #nutrition area by showing how data, AI, and predictive analytics could identify who most needs these interventions and personalize them. #health #wellness https://t.co/X1HwREhhdS

A polygenic risk score that predicts Type 2 diabetes, obesity, and likelihood for requiring a GLP-1 drug. Across 6 ancestries. https://t.co/5hTVv8kqlK https://t.co/IgXhx8vFA6
The U.S. still plays “Where’s Waldo?” with provider data. @HeyEpic ’s new concept paper lays out how CMS and partners can build a real-time, API-driven national directory. 🌐 https://t.co/URsJiyAhMm #Interoperability #FHIR #HealthIT #DigitalHealth #HITSM
The era of digital biology, exemplified by making a bespoke and effective vaccine for cancer in a dog, is taking off. Access to the AI-Coscientist. A new feature @NatureMedicine https://t.co/AR9lqne7E1

Healthcare systems manage sensitive data across fragmented platforms with limited mutual trust. A blockchain ledger with smart contracts introduces verifiable records and controlled consent, so hospitals coordinate data access without losing governance. Microblog @antgrasso https://t.co/8wxDrb3IZG
Last week at #HIMSS26, the Oracle Health and Life Sciences team showcased how AI can connect patients, providers, payers, and public health organizations. See what you missed and learn how our AI-powered tech can help your organization. https://t.co/JphBBwbFT2

Can't emphasize enough the amount of valuable AI insights per word in this masterpiece by Jason A. Hoffman, CSO @Switch. Got to this after he was interviewed by the great @furrier https://t.co/dlM9fL53Xi https://t.co/UcyXJnkcrg

It’s incredibly hard to see through the current AI hype in healthcare. To facilitate that, I have mapped the rapidly expanding universe of AI use cases in healthcare from early-stage “on the horizon” innovations to “safe bets” that are already backed...
The irony I find myself returning to is that MRI technology has not made us better diagnosticians. It has, in many cases, made us worse ones, because the image is so concrete and the language of the report so authoritative...

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It seems inevitable that medical robots will be used across the healthcare spectrum: from taking blood samples and moving medications around in a hospital to surgeries and pharmacy automations. But can dentistry be the next? A medical specialty in which...
Continuous glucose monitors accuracy depends on the device, the situation and the individual. In this blog we explain the key concepts behind CGM accuracy and the terms you need to understand before interpreting the data. https://t.co/qSpsLY4al8
A model that predicts cellular age from Cell Painting microscopy images alone. No DNA methylation needed. The model captures morphological aging hallmarks across nuclear and cytoplasmic compartments, correlates with chronological age AND epigenetic clocks. The promise: screen for rejuvenation compounds...
The solution here is for technology executives to build cheaper, better and faster healthcare solutions with the support of government grants/contests with that explicit goal… just like the military technology executives seem willing to have disrupted the “cost plus”...