With the Guardian reporting that “UnitedHealth managers pressed nurse practitioners to persuade Medicare Advantage members to change their “code status” to DNR even when patients had clearly expressed a desire that all available treatments be used to keep them alive,” I thought I

Super proud of Andrea and her fabulous work!

If these 3 Japanese companies you've never heard of went down, all modern digital infrastructure (and every AI breakthrough) would grind to a halt. Here's the story of JSR, Tokyo Ohka Kogyo (TOK) and Shin-Etsu, the most important companies you've never heard of... 1/7

OpenAI o3-pro is available in the model picker for Pro and Team users starting today, replacing OpenAI o1-pro. Enterprise and Edu users will get access the week after. As o3-pro uses the same underlying model as o3, full safety details can be found in the o3 system card.

Great news! Private equity ownership results in worse care at higher costs. I hope more states follow.

This thread is actually fascinating. And aligns with what I see in practice. Ppl want boring and repetitive (time consuming) tasks automated and assistance and empowerment in creative endeavors.

How accurate is GPT-4 at extracting data from EHRs? This study tested NIH’s Text Extraction Program on prostate pathology reports & found 99.8% accuracy vs. manual review, showing strong potential for GPT-4 + prompt engineering in clinical data workflows. nejm.ai/4dw8Boz

At WAGO meeting- in 2025, only 3.4% of NCI funding goes to funding gyn cancer research, despite endometrial cancer and ovarian cancer being 2 of the top 10 causes of cancer deaths. Endometrial cancer incidence and mortality is also increasing. We must change this.

Sludge seems a core obstacle of our lives across commercial, work, and govt interactions. Also, it is connected to Ezra's thesis in Abundance (book, rec'd!) about how process obsession impedes delivery of outcomes. Feels Kafkaesque across our lives. Ezra Klein

It’s actually worse, academia runs entirely on grant funding, and the process has become almost a favored lottery. I’ve served on many NIH study sections; only a fraction of excellent projects get funded. Now it’s even harder: funding is down, while great ideas are up due to AI.

Our paper is now out in final form at Nature Genetics! For those who missed the preprint, we used large-scale Perturb-seq targeting transcription factors to push primary fibroblasts into diverse transcriptional states, including those observed in cell atlas studies.

Congrats to Dr. Jenny Gumperz on receiving a UWCCC grant to advance Leukemia immunotherapy! mmi.wisc.edu/gumperz-and-li…

correlation i have observed: the most talented people i know (who also happen to be high agency) have the shittiest workflow organization - no notion organization hell, usually messy apple notes and google docs - regular users of pen and paper - no superhuman or fancy email

Academic scientists complain often about the hardship of their chosen career, but in reality research in academia is among the best jobs in the universe. I am at the end of my career, and here are my reasons why I would do it again any day:

📢 Another Brilliant research just dropped from Google Research - a major advancement for a systematic way to generate expert-level scientific software automatically. An LLM plus tree search turns scientific coding into a score driven search engine. This work builds an LLM +

Latest genomic AI models report near-perfect prediction of pathogenic variants (e.g. AUROC>0.97 for Evo2). We ran extensive independent evals and found these figures are true, but very misleading. A breakdown of our new preprint: 🧵

During Thanksgiving break last year, our AI co-scientist team Google DeepMind Google Research - Juraj Gottweis Alan Karthikesalingam met Prof José R Penadés Tiago Costa of @ImperialCollege. They were nearing a breakthrough on how bacteria share resistance genes and proposed a test for our AI

This is one of the most underrated papers from the last few months. TL;DR: MIT scientists engineered bacteria that can be seen from hundreds of feet away, using drones or satellites, with hyperspectral cameras. Here is how they did it. > First, they filtered through a database

The emerging "nudge era" of cancer treatment based on multiomic profiling, spatial biology cell.com/cancer-cell/ab…