Thanks AI at Meta for properly putting our clinical camel on the map of medical LLMs. We are proud to be one of the earliest open-source medical LLMs, laying the groundwork for many of the subsequent, more advanced LLMs in the field of medicine. More exciting development of…

2012: A University of Toronto team created AlexNet. It showed the power of DNNs, outperforming ImageNet's runner up by 11 pts.

2024: Bo Wang Lab at University of Toronto built & optimized several DSPy programs, beating the next best MEDIQA system by *20 pts*!

The AlexNet moment for optimized LM programs?🧵

Great to see so much engagement and enthusiasm from #AATS #CTSurgery ! Thanks for having me here!

I am convinced that nobody likes leg days Serafim Batzoglou 😅

Super cool that this state-of-the-art medical NLP result was achieved using Omar Khattab's #DSPy . Beginning of the age of auto-optimized compound AI systems?

IReRa is another example of an auto-optimized SOTA pipeline (arxiv.org/abs/2401.12178).

🔥Congratulations to Augustin Toma et al (@BoWang87 Lab) for winning the 1st place in *every* sub-task of the 2024 MEDIQA Clinical NLP competitions.

They build & optimize extremely high-quality LM programs in DSPy, outperforming the next best participating system by up to 18 pt!

Join us next Wednesday May 1st, 5-6pm for AI Rounds.
Shek Azizi will be joining us to speak about Generalist Biomedical AI: Towards Scalable Healthcare Impact.

Register to join AI Rounds at uhnhub.ai/ai-rounds
Bo Wang UHN Research @UHN

Clinical trials represent the next frontier in AI and medicine, and unfortunately, Canada is lagging behind in this crucial area. Brad Wouters 🇨🇦 Barry Rubin MD, PhD, FRCSC Dr. Kevin Smith Shaf Keshavjee Temerty Centre for AI in Medicine (T-CAIREM) @UofT

thanks for highlighting our scGPT work! UHN Research Barry Rubin MD, PhD, FRCSC Shaf Keshavjee Dr. Kevin Smith Brad Wouters 🇨🇦

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Great to meet Krishnaswamy Lab in person at Toronto! Lots of interesting discussions about the future of AI&biology!

“The next big game-changing revolution is in biology.”

Cannot agree more!

We are at a pivotal moment where vast amounts of biological data are being generated, and large-scale models are increasingly accessible for analyzing omics and sequences. There’s truly no better time…

Way to go! Elly Zhou great work! AI HUB Shaf Keshavjee Andrew Sage

Everyday life in the lab 😅 and I think the white paper in the left figure is a big bill from cloud computing 🥹

Bo Wang But as packages get popular, it is as much a community responsibility to assist with upkeep and updates. This is the only sustainable way for free open source software with small academic dev teams that are constantly rotating. 4/4

Wow! New MoE model 8x22B from Mistral! Probably in response to recent models from Cohere!

Cool idea for scientists: Forget about journals or conferences, even forget about preprints like arixv or bioarxiv, scientists should just post a torrent link for new papers 😂

This study reveals something fascinating: Different packages (e.g., in terms of versions and programming languages) of the same algorithms/pipelines can lead to varied results in downstream analysis. Here are my thoughts:

Firstly, this should not be used to critique Seurat and…