标签：#Health

The CDC has tallied nearly 30,000 confirmed and probable cases this summer.

The company, which distributes medicines and medical devices to hospitals and healthcare practices across the U.S., said it was hacked and expects intermittent service degradation.

While Trump administration cuts have contributed to the epidemic of foodborne illnesses this summer, there are also deeper issues that make the American food supply chain susceptible to parasites and bacteria outbreaks.

Latest release: v0.2.2 — Aug 29, 2026 I did something I usually try hard not to do in a field test. I changed the design after it had already started. Halfway through validating AdversarialDebate, I realized the model set was too narrow to answer the most important question in the project. So I added a fourth model in the middle of the run. That was messy. It wasted work. It made the corpus inconsistent for a while. It also turned out to be one of the best decisions in the whole release. This post is about a lesson I trust far more now than I did before building this project: a field test is not just there to produce numbers. It is there to reveal whether your experiment can actually answer the question you think it is answering. The Setup I Started With I began with three models: GPT-4o-mini, Gemini 2.5 Flash, and DeepSeek-V3. That gave me three useful pairings — GPT + Gemini, Gemini + DeepSeek, and GPT + GPT as a homogeneous control. Three labs, two regions, one same-model control. Reasonable spread. I ran the small corpus first, just 3 PRs, to validate the pipeline. Pair Small-corpus score Verdict rate Gemini + DeepSeek 0.835 33% GPT + GPT 0.667 33% GPT + Gemini 0.148 0% The diverse pair was ahead. The weak pair was struggling. The homogeneous control was doing something interesting. If I had stopped there, I would have told a clean story — and it would have been the wrong one. The Problem Was Not The Data. It Was The Coverage. The issue was not that the first three models were bad. The issue was that the experiment could only see part of the diversity spectrum. With those three models, the farthest useful pairing I had was US + China. I did not have a genuinely cross-continent pair that could show what happened at the far end of diversity. The test could suggest whether diversity helped. It could not show whether maximum diversity behaved differently from moderate diversity. That is a major blind spot when the whole thesis is about pairing behavior. I needed a f

Burnt out on wrist buzzes and notification overload? A new crop of minimalist wearables promises to collect your health data without demanding your attention.

Olá, comunidade! 👋 Este é o meu primeiro post por aqui e quero começar compartilhando um pouco da minha jornada. Sou da Geração X e, ao longo dos anos, vi o mundo digital transformar completamente a forma como vivemos e trabalhamos. Decidi que não queria apenas acompanhar essas mudanças como espectadora e sim quero fazer parte delas.#pharma#love#TI****

Vijay Pande — who left a16z's roughly $4 billion biotech practice last year to start the much smaller, AI-native VZVC — talks about why biology is finally shifting from a "discovery" science to an "engineering" one, why clinical trials are still brutally expensive, and why he thinks open, shared datasets (not walled-off ones) are what will actually let AI transform medicine.

v0.2.1 RELEASED — Aug 28, 2026. Release notes · Field test report · v0.2.2 release notes v0.2.2...

RFK Jr. went to Samoa to spread vaccine fears. The measles outbreak after killed 83.

In the My Agent Refused 96 Times. That Was the Right Output., I argued that the most valuable output...

I knew I’d officially become a ‘longevity influencer’ this month when a company called Generation Lab reached out to offer me the chance to write about—and even receive—their new rejuvenation treatment, an injectable combination of two existing drugs which they call 1 Generation. This wasn’t just any antiaging treatment, either. A company fact sheet says that…

Hoomanely has developed a smart bowl to measure and record dogs' feeding data, then tells owners if behaviors change.

Kennedy and his allies have a history of downplaying vaccine-preventable deaths.

You’re hunched over your desk and phone for hours. I rounded up gadgets, a DIY trick, and even some yoga advice to help you straighten up.

The bishops' snub comes as the state continues to attack vaccines.

The company won't say if medical devices are affected or if any customer data was exfiltrated.

Vibe-coding darling Lovable just raised $400 million at a $13.3 billion valuation, roughly doubling its worth in eight months. But Lovable isn’t the only Stockholm startup putting up huge numbers lately — legal AI company Legora and health tech startup Neko Health are right there with it. On this episode of TechCrunch’s Equity podcast, Dominic-Madori Davis is joined by Sophia Bendz, a partner at Cherry Ventures and longtime fixture of Europe’s startup […]

This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they're going to change your life. Opt in for Optimizer here. Oura's getting sued. A recently filed class-action complaint against the smart ring maker alleges that the company has duped customers […]

Biology is coming to psychiatry’s diagnostic manual, even as reliable biomarkers remain rare.

The New York Times has a long article ( alt link ) on surveillance systems aimed at babies. They are increasingly using AI. Nanit and its rivals want to own 24/7 health tracking for the sub-four-foot set. And their already astonishing levels of baby data collection are just the beginning. Nanit recently raised $50 million from investors to expand its use of A.I. and use its camera to track speech and language development, motor skills and more, while extending its presence in children’s bedrooms into early adolescence.