🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Our preprint summarizing our first-place submission to the MEDIQA-Chat shared task for automatic clinical note generation from patient-doctor conversations is now up on arXiv! Some interesting findings below 🧵👇 arxiv.org/abs/2305.02220

(Re-)Introducing #ClinicalCamel 🐪: an innovative open-source conversational #LLM engineered specifically for healthcare: Paper: arxiv.org/abs/2305.12031 Model weights in HF: huggingface.co/wanglab/clinic… Eval Scripts at Github: github.com/bowang-lab/cli… Live Demo:

Massive thanks to everyone for supporting our clinical camel! In just a week since going live, we've seen an amazing response worldwide. We're clocking an average of 5000+ daily users on our live demo with over 90% of thumbs-up! - that's incredible! So thrilled to see the

Every scientist has a lab website, but these websites are static, and often hard to navigate. The idea we had is, can we build a personalized chatbot for users to interact with the lab websites? Say hello to Lab Walrus (wanglab.ml), our #ChatBot designed to bring

**Updating the best open-source medical LLM** 🚀 Introducing Clinical Camel-70B, one of the best open-source medical Large Language Models for clinical research! Based on the new #Llama2-70B model from @MetaAI, our Clinical Camel-70B can surpass proprietary models like

Our #nature comment titled "To safely deploy generative AI in health care, models must be open source" is out today! 🙏🙏😀😀 In our Nature commentary (nature.com/articles/d4158…), we advocate for the essential role of open-source development in generative AI for healthcare. This

Strong calls for openness, open source generative #AI and nature driven by the medical community, not tech wsj.com/articles/artif… by Kai-Fu Lee nature.com/articles/d4158… by Bo Wang Augustin Toma University of Toronto and colleagues

State Spaces models (SSM) such as mamba have started to revolutionize languages, vision, and genomics, as a promising alternative to transformer architecture. How about graph data? ❤️‍🔥 Introducing Graph-Mamba, our latest innovation in Graph Learning for enhanced long-range graph

🔬 Exciting News! Our manuscript, "scGPT: toward building a foundation model for single-cell multi-omics using generative AI" is now finally published in Nature Methods (@NatureMethods) 🎉 !!! (Re-)Introducing scGPT: A transformative foundation model engineered for single-cell

🔥Congratulations to Augustin Toma et al (Bo Wang 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!

WangLab complied several of their DSPy programs with MIPRO, a powerful optimizer by Krista Opsahl-Ong* Michael Ryan @ ACL 2025 🇦🇹*. Michael & Krista have been developing even better optimizers for language programs—stay tuned for upcoming work! Learn how MIPRO works: x.com/kristahopsalon…

🚀Introducing — Meta Flow Matching (MFM) 🚀 Imagine predicting patient-specific treatment responses for unseen cases or building generative models that adapt across different measures. MFM makes this a reality. 📰Paper: arxiv.org/abs/2408.14608 💻Code: github.com/lazaratan/meta…

Thrilled to share that we placed 1st in the 2025 MEDIQA Clinical NLP Challenge — marking our third consecutive win (2023, 2024, 2025)! 🏆🎉 This year’s task went beyond clinical note generation — it focused on extracting structured medical orders from noisy, free-form

The news is out! We're starting Blank Bio to build a computational toolkit assisted with RNA foundation models. If you want to see my flip between being eerily still and overly animated check out the video below! The core hypothesis is that RNA is the most customizable molecule