ADMET-AI is now published in Bioinformatics! ADMET-AI provides free, fast, & accurate prediction of absorption, distribution, metabolism, excretion, & toxicity properties of molecules at admet.ai.greenstonebio.com Blog: portal.valencelabs.com/blogs/post/adm… Paper: academic.oup.com/bioinformatics…

MedTrinity-25M A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine discuss: huggingface.co/papers/2408.02… This paper introduces MedTrinity-25M, a comprehensive, large-scale multimodal dataset for medicine, covering over 25 million images across 10

Original Article by Weixin Liang, MS, et al.: Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis nejm.ai/3y10ccm #ArtificialIntelligence

An open source and computing-friendly vision-language model is shown to achieve state-of-the-art accuracy in 16 out of 25 biomedical tasks, with promising performance in a series of potential clinical applications Hongfang Liu, PhD Lichao Sun James Zou nature.com/articles/s4159…

Nuclei.io is an exciting AI tool, developed by AIMI Center's James Zou & Thomas Montine, that helps identify cells that could indicate diseases. The tool was shown to accelerate #pathologists' work & improve diagnostic accuracy. go.nature.com/4clENsm

An open source and computing-friendly vision-language model is shown to achieve state-of-the-art accuracy in 16 out of 25 biomedical tasks, with promising performance in a series of potential clinical applications Lichao Sun James Zou Hongfang Liu, PhD nature.com/articles/s4159…

Excited to see BiomedGPT published in Nature Medicine!

Discovery and generalization of tissue structures from spatial omics data dlvr.it/TBlQmy

Two weeks we're never going to forget. The best Olympics performance for Stanford. EVER. #Paris2024 recap: tinyurl.com/3337tr5y #GoStanford

I'm excited to share our Nature Methods primer on language models for biological research. Elana Simon, James Zou, and I explain how to use language models, both natural language models and biological language models, to accelerate biological research. nature.com/articles/s4159…

A Perspective from Elana Simon Kyle Swanson & James Zou introduces the elements of and best practices for adapting and using language models for biology. nature.com/articles/s4159…

Very excited to share our primer on LLM for biology Nature Methods! We discuss how to use: ⚡️human & protein LMs (eg #ESM) ⚡️#singlecell & #multimodel LMs ⚡️when to fine-tune, transfer learn etc. Paper nature.com/articles/s4159… Colab tutorial colab.research.google.com/drive/1zIIRGeq… Written for a

Thanks!! AK 🚨📷🚨 Excited to share our new work "MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine" Paper: arxiv.org/abs/2408.02900 Dataset: huggingface.co/datasets/UCSC-… Code & models: github.com/UCSC-VLAA/MedT… Highlights: 👉 A

We are pleased to announce six Stanford University research teams receiving this year's Hoffman-Yee Grants, a key initiative of Stanford HAI since our founding. Read about the scholars who are ready to shape the future of human-centered AI: stanford.io/3MdGMEz

Thank you Stanford HAI and Hoffman-Yee for this wonderful award! Super excited to use it to tackle critical data-centric questions for #genAI, including: + how to design datasets for LLMs + data attribution and valuation + synthetic data + legal & policy considerations W/ awesome

An open source and computing-friendly vision-language model is shown to achieve state-of-the-art accuracy in 16 out of 25 biomedical tasks, with promising performance in a series of potential clinical applications Lichao Sun James Zou Hongfang Liu, PhD nature.com/articles/s4159…

Looking forward to speaking at UCSF!

As developers seek to build new datasets in the age of generative AI, legal and policy considerations come into play. This team of scholars aims to establish guiding principles for assembling datasets and ensuring that they are used responsibly. stanford.io/47gA3Dv