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📢 We're excited to introduce LC-PLM, a Long-Context Protein Language Model that redefines the potential of protein sequence modeling! LC-PLM addresses the challenges of modeling longer protein sequences and complex biological interactions. Our model demonstrates superior scaling

Our paper is out at Nature Methods! A biomedical foundation model that handles 9 different imaging modalities trained from 6.8 million medical images. Amazing team work led by Theodore Zhao . I have the privilage to work with Hoifung Poon, the most visionary and heroic leader!

So nice to see Nature Methods publish this review of our BiomedParse Microsoft Research paper on medical imaging. I like that the authors tried their own images and were impressed with the results -- more reviewers should do that! nature.com/articles/s4159…

Excited to see this review of BiomedParse in Nature Methods News: nature.com/articles/s4159…. We're psyched that the authors tried BiomedParse on their own images and were impressed. The authors are also spot on re the research frontiers. So much remains to be done!

Thank you for sharing! I appreicate Allen School's great support to do interdisciplinary research!

Amazing work! Congrats!

Using #AI to increase #RareDisease #GWAS discoveries by up to 100%. One of the largest integrations of #GWAS and #FunctionalGenomics. Amazing collaboration with Kexin Huang and team!

Arjun (Raj) Manrai Isaac Kohane Sheng Zhang Naoto Usuyama Hanwen Xu Tristan Naumann Sheng Wang Multimodal GenAI is the next frontier for precision health: microsoft.com/en-us/research…. In 2024, we are fortunate to contribute to this direction with exciting new work such as GigaPath nature.com/articles/s4158… and BiomedParse nature.com/articles/s4159….

Thank you Hoifung Poon for being the best leader! So excited to see that BiomedCLIP has been published. It is already a milestone in multi-modal biomedical AI since it is first released two years ago. Great work led by Sheng Zhang Naoto Usuyama Yanbo Xu, Hanwen Xu!

.Allen School researchers & Natasha Jaques created a method for training AI systems — both for large language models like ChatGPT and for robots — that can better reflect users’ diverse values. washington.edu/news/2024/12/1…

Wei is a rising star in AI for Medicine. She is on the faculty market this year!

No words.

Thank you for the nice review of our Scorpius paper! nature.com/articles/s4225…

I know internship hunting has been especially tough this year -- I hear you! 📢Great news: Our team at Microsoft Research (Microsoft Research) has opened up a few additional internship slots for this summer! We're seeking talented PhD candidates with experience in 🖼️Multimodality,

EchoNet-TR is a model for screening tricuspid regurgitation from single-view TTE videos with the potential to enhance TR screening access and enable retrospective institutional database reviews. ja.ma/3Y5h8IC @david_ouyang