Scott McGrath
@smcgrath.phd
9.7K followers 400 following 5.4K posts
Biomedical Informatics PhD • CITRIS Health @UC Berkeley • FAMIA • Focusing on Informatics and AI in medicine • Linfield U. Grad • Missoula MT https://citris-uc.org/people/person/scott-mcgrath/
Posts Media Videos Starter Packs
Pinned
smcgrath.phd
Decided to try something new out. If you like the ML Feed: Trending, try out the new ML Feed: Blend!

Instead of just showing the trending ML posts from the past 24 hours, this will show new posts mixed in with popular posts. It should provide a little more variety!
Reposted by Scott McGrath
yuriquintana.com
New paper on AI agency.
LIMI: Less is More for Agency shows that building autonomous AI agents doesn’t require massive datasets, just carefully curated demonstrations.
With only 78 samples, LIMI outperforms models trained on 10,000+.
arxiv.org/abs/2509.17567

#AI #Agency #AutonomousAgents #LIMI
LIMI: Less is More for Agency
We define Agency as the emergent capacity of AI systems to function as autonomous agents actively discovering problems, formulating hypotheses, and executing solutions through self-directed engagement...
arxiv.org
smcgrath.phd
Wolters Kluwer has launched UpToDate Expert AI, a GenAI version of its clinical decision support tool.

The system is designed to prevent AI hallucinations by exclusively drawing from UpToDate's peer-reviewed content, not the open web.
#MedSky #MedAI
Wolters Kluwer jumps into the AI market, rolls out gen AI version of UpToDate
Wolters Kluwer Health launched a version of UpToDate supercharged with artificial intelligence as competition in the generative AI healthcare market heats up. | Wolters Kluwer launched a version of Up...
www.fiercehealthcare.com
smcgrath.phd
Generative AI is evolving beyond simple tasks. New reasoning and agentic models can handle complex, multistage problems in medicine. There is the potential to improve healthcare, but careful validation and thoughtful adoption are critical.

#MedSky #MLSky #MedAI
Generative artificial intelligence in medicine - Nature Medicine
This Review summarizes recent technical advancements in generative AI, outlines how new models might improve healthcare and discusses validation approaches—using lessons from recent successes and…
www.nature.com
smcgrath.phd
Digital twin models show promise for predicting neutropenia in AML patients on venetoclax and azacitidine. While patient-specific accuracy varies, continuous updating over time significantly improves the model's predictive power.
#MedSky #MedAI
Digital twin models for predicting venetoclax and azacitidine-induced neutropenia in patients with acute myeloid leukemia - npj Digital Medicine
npj Digital Medicine - Digital twin models for predicting venetoclax and azacitidine-induced neutropenia in patients with acute myeloid leukemia
www.nature.com
Reposted by Scott McGrath
simonwillison.net
Vibe coding is irresponsibly building software through dice rolls, not caring what code is produced

What about when engineers at the top of their game use AI tools responsibly to accelerate their work?

I propose "vibe engineering"!

simonwillison.net/2025/Oct/7/v...
Vibe engineering
I feel like vibe coding is pretty well established now as covering the fast, loose and irresponsible way of building software with AI—entirely prompt-driven, and with no attention paid to …
simonwillison.net
smcgrath.phd
They are great!

There is a bit of tension due to some of the class 2 (ones w/ throttles) bikes playing a a little too loose with the speed limits.

However, I'm thrilled with my class 3 cargo bike.
smcgrath.phd
Chilly Fall morning
Setting Moon over the mountains with fog clinging to a field
smcgrath.phd
tagging for #MedSky #MedEd #MedAI
jonc101.bsky.social
@stanforddeptmed.bsky.social Biomedical Informatics Research Colloquia
“Applied Intelligence: Integrating AI Technologies Into Medical Education”
Laurah Turner, PhD.

Thursday, October 9th, 2025
12:00 to 1:00 pm PST

stanford.zoom.us/j/9788759601...

Webinar ID: 978 8759 6012
Passcode: 420642
Laurah Turner, PhD
Reposted by Scott McGrath
tnicholsmd.com
What is a song that likely doesn't make anyone's top lists, but that you think is a perfect song, or absolutely beautiful, or that you could listen to on repeat?
smcgrath.phd
Pearl Jam - The Fixer

Smashing Pumpkins - Mayonaise
smcgrath.phd
Pinning any of these feeds will give you tabs on your home page you can scroll through and give you more to explore and engage with.
smcgrath.phd
You can even build your own feeds, which could be as simple as tracking posts from a single account on a single topic, or more advanced topics like this Machine Learning feed I built (I have a medical AI one in the works)
smcgrath.phd
Popular with Friends - posts that your friends have liked
smcgrath.phd
MedSky - the tent pole medical feed with a ton of medical specialty feeds ( open up @medsky.social and scroll to their feeds tab to see all of the options)
smcgrath.phd
Quite posters - this feed highlights people you follow that don’t post frequently so you don’t miss them
smcgrath.phd
For You - this is better than the default Discover feed, it surfaces things you might enjoy based off the post you like:
smcgrath.phd
Twitter/X is more like an automatic car: the algorithm there does a lot of the heavy lifting, but you have a lot less control.

Bluesky is more of manual car: you have to set more thing up, but then have much more control over things. The key is pinning some good feeds.

Here are my suggestions:
smcgrath.phd
LLMs are often ineffective at processing time series data, a significant limitation for medical applications. This preprint introduces OpenTSLM, enabling LLMs to reason over medical time series through a native modality.
#MedSky #MedAI #MLSky
OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
LLMs have emerged as powerful tools for interpreting multimodal data. In medicine, they hold particular promise for synthesizing large volumes of clinical information into actionable insights and…
arxiv.org
smcgrath.phd
🧪 Amid concerns about AI and funding, the value of STEM education remains.

Science is the process of building and refining models, not just knowing facts. AI is a tool in this process, handling data while humans ask the fundamental questions.
How to Get Your Kids Into STEM Even When Its Future Is Uncertain
Thinking about science and technology in terms of return on investment misses the point. Here’s what kids really need to know.
www.wired.com
smcgrath.phd
🧪 AI agents are emerging as tools to automate multi-step research tasks, from data curation to hypothesis generation. While they can act as research assistants, they are not yet autonomous and require significant human oversight to mitigate risks.
#MLSky
How AI agents will change research: a scientist’s guide
Researchers are increasingly turning to artificial-intelligence tools that can handle complex, multi-step processes.
www.nature.com
smcgrath.phd
AI skills are improving unevenly due to a "reinforcement gap." Tasks like coding, which can be automatically tested at scale, improve rapidly via reinforcement learning. Subjective tasks like writing, lacking clear metrics, progress more slowly.
#MLSky
The Reinforcement Gap — or why some AI skills improve faster than others   | TechCrunch
AI tasks that work well with reinforcement learning are getting better fast — and threatening to leave the rest of the industry behind.
techcrunch.com