Hi #NeurIPS2024! 1- Explore ~4,500 NeurIPS papers in this interactive visualization: jalammar.github.io/assets/neurips… (Click on a point to see the paper on the website) Uses cohere models and Leland McInnes's datamapplot/umap to help make sense of the overwhelming scale of NeurIPS.

It is just so sad that the #NeurIPS2024 main conference ended with such a racist remark by a faculty when talking about ethics. How ironic! I also want to commend the Chinese student who spoke up right on spot. She was respectful, decent, and courageous. Her response was

Excited to share that our paper, "Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment," won a Best Paper Award 🏆 at #ML4H2024! Join us on Monday (12/16) at ML4H for our spotlight talk at 1:50pm and poster session at 2:15pm. We propose a

I saw a slide circulating on social media last night while working on a deadline. I didn’t comment immediately because I wanted to understand the full context before speaking. After learning more, I feel compelled to address what I witnessed during an invited talk at NeurIPS 2024

Great keynote by Jason Alan Fries at #ML4H2024 right now about the benefits and state of medical foundation modelling today--super exciting stuff, and great to see things like robustness and transferability highlighted.

It was great to present FEET (A framework for evaluating embedding techniques) at both #ML4H2024 and #NeurIPS2024 . It was great to hear that people agreed with the current state of AI evaluations and liked the approach. I’m tired now so no one talk to me until the next year 🤣

We started the day with a wonderful keynote from Adarsh Subbaswamy about regulatory science tools at the FDA. Thanks for the talk, Adarsh!

I really like this connection between stability and adversarial subset selection and fairness/bias in Adarsh Subbaswamy 's keynote now at #ML4H2024

Our first perspective talk from Isaac Kohane introduced the Human Values Project and discussed the factors driving patient prioritization. Thank you for the talk, Dr. Kohane!

Our first panel today discussed the challenges of deploying AI models in healthcare settings. Thank you to our panelists Adarsh Subbaswamy, Dr Shannon McWeeney 🇺🇦 is on BlueSky & Mastodon, Isaac Kohane and Su-In Lee!

Please check our paper, “Automating Feedback Analysis in Surgical Training: Detection, Categorization, and Assessment,” at #ML4H2024! (Poster #27 at ) We propose a novel framework for detecting teaching interactions in the operating room from raw recordings, achieving an F1 of

The second set of roundtables is happening now! We're chatting about everything from drug discovery to population health.

Our second poster session is happening now! It's a great opportunity to chat with researchers presenting their work. #ML4H2024

Great talk by Su-In Lee on “Explainable AI for health: where we are and how to move forward” to close out day two of #ML4H2024

Incredibly honored to win Best Paper at the ML for Health Symposium, co-located w NeurIPS!! 🤩 Congrats to co-authors Emily Robitschek , Jin Ge , and many others 👏. Check out our work using LLMs to understand liver transplants, esp understudied social/ econ factors 🏥💰🏠 #ml4h2024

Hear from leaders in the field about enabling #PrecisionMedicine with #AI by integrating #MedicalImaging with other #Data types - join the #NIHCommonFund at the second day of this virtual workshop! See you there! go.nih.gov/awiS2id

“ #Cancer does not wait for political gridlock or economic uncertainty—it continues its relentless march forward.” A call for unity for our patients & communities Thanks to The Cancer Letter for provisioning outside the member firewall so everyone can access it #MedTwitter

Stat4Onc Annual Symposium, NCI sponsored, fosters discussions between scientists on cancer clinical trials. Academia, industry, & regulatory agencies share research, collaborate on solutions for trial design, drug development & patient care. REGISTER NOW! stat4onc.org/events/stat4on…

Exciting time Stanford University! How to adapt to the era of AI development? Are we going to lose our job? Really nice talk from Dr Shannon McWeeney 🇺🇦 is on BlueSky & Mastodon #stat4onco