DT-GPT: showing that LLMs can forecast patient trajectories (1/10) Now in npj Digital Medicine www.nature.com/articles/s41... Also in Doctor Penguin! Big thanks to Maria Bordukova, @raulrod.bsky.social Papichaya Quengdaeng Daniel Garger @fschmich.bsky.social Michael Menden Helmholtz Munich Roche

A new model, DT-GPT, uses LLMs to forecast patient health trajectories, enabling "digital twins." By processing raw EHR data, it outperformed state-of-the-art methods in cancer, ICU, and Alzheimer's cohorts and can even forecast untrained variables. #MedSky #MedAI #MLSky

[1/4] 🎉 We're thrilled to announce the general release of three de-identified, longitudinal EHR datasets from Stanford Medicine—now freely available for non-commercial research use worldwide! 🚀 Learn more on our HAI blog: hai.stanford.edu/news/advanci...

Want to push the limits of LLMs in drug development? 🚀Apply now for our 2 summer internships for 2025: 1️⃣ Multimodal - www.linkedin.com/jobs/view/40... 2️⃣ Preclinical - www.linkedin.com/jobs/view/40... DM me if you have any questions or know anybody who would be interested in this.

For my fellow researchers in AI, Medical, and Healthcare domain:, Here is the Medical AI Startup pack if you are new there go.bsky.app/PddA2uy

I created a starter pack for Health AI and Informatics. Mix of folks (reporters and researchers) that I think you should follow. I've got room to include more, so please tag anyone you think I should add! 🧪🩺 🤖 🛟

Introducing DT-GPT: showing that LLMs can forecast patient trajectories (1/8) Pre-print here 👉 medrxiv.org/content/10.1... Big thanks to Maria Bordukova, @raulrod.bsky.social, Fabian Schmich, Michael Menden, UniMelb, HelmholtzMunich, Roche