Friends, please help spread the word by reposting!

Excited to announce the inaugural AIMBA (AI Meets Biology of Aging) 2024 meeting on May 22, *2024, 9-2pm PT, organized by University of Washington Nathan Shock Centers!

Four keynote speakers: Maria Brbic, Brunet Lab, Vadim Gladyshev, James Zou.

Super star and future Stanford Dermatology resident TofiJay with TWO talks: one on AI for RCM and evaluating multi-modal vision-language models on dermatology images. SID #SID2024

Aviv Regev on collaborations: be generous with your ideas, your abilities, with resources that you have, your time, your mindset... And when everyone in a collaboration behaves in this way, then of course, it's a lot of fun.
podcasts.apple.com/us/podcast/avi… The Night Science Podcast

Friends, please help spread the word by reposting!

Excited to announce the inaugural AIMBA (AI Meets Biology of Aging) 2024 meeting on May 22, *2024, 9-2pm PT, organized by University of Washington Nathan Shock Centers!

Four keynote speakers: Maria Brbic, Brunet Lab, Vadim Gladyshev, James Zou.

Excited to announce the inaugural AIMBA (AI Meets Biology of Aging) 2024 meeting on May 22, 2023, 9-2pm PT, organized by University of Washington Nathan Shock Centers !

Featuring four keynote speakers: Profs Maria Brbic, Anne Brunet, Vadim Gladyshev, James Zou.

Check it out! sites.google.com/cs.washington.…

Excited to announce that I'll be giving the Distinguished Keynote Speech as the 2024 ISCB Innovator Award Winner! iscb.org/ismb2024/progr……

Join me at #ISMB2024 to explore the latest in computational biology: iscb.swoogo.com/ismb2024 #ismb

Always an honor to collaborate with brilliant students and colleagues! Check out this fantastic blog post about our publication in Nature Medicine, first authored by Allen School student Chanwoo Kim and co-senior author Roxana Daneshjou MD/PhD:
communities.springernature.com/posts/toward-t…

Always an honor to collaborate with brilliant students and colleagues! Check out this fantastic blog post about our publication in Nature Medicine, first authored by Allen School student Chanwoo Kim and co-senior author Roxana Daneshjou MD/PhD:
communities.springernature.com/posts/toward-t…

Amazing blog post from first author Chanwoo Kim describing our latest Nature Medicine paper on using a dermatology foundation model to enable explainable AI and dataset/model transparency! Su-In Lee communities.springernature.com/posts/toward-t…

🎉 Congratulations to everyone who made the list! 🎉 @uw Allen School
washington.edu/news/2024/04/2…

#MLCB2024 will be Sept 5-6 as a hybrid event in Seattle (nice time to be in the PNW!) with a great lineup of keynotes from Ava Amini, Maria Chikina, Jian Zhou and Nilah Ioannidis. Registration is free and submission deadline is June 15th. More deets at mlcb.github.io.

Joins us for Machine Learning in Computational Biology (MLCB) 2024 mlcb.github.io
Submission deadline: June 15
Conference dates: Sept 5 & 6

Transparent medical image AI via an image–text foundation model grounded in medical literature

Nature Medicine Roxana Daneshjou MD/PhD Chanwoo Kim Su-In Lee #ArtificialIntelligence #Medical #MedEd #MedX #modelling

nature.com/articles/s4159…

Thrilled to announce our dermatology image-text foundation model is now published in Nature Medicine. Honored to collaborate with incredible Allen School students - Chanwoo Kim,
Soham Gadgil, and Alex DeGrave -and Stanford's stellar team led by my co-senior author Roxana Daneshjou MD/PhD.👇

Thrilled to announce our dermatology image-text foundation model is now published in Nature Medicine. Honored to collaborate with incredible Allen School students -Chanwoo Kim, Soham Gadgil, and Alex DeGrave -and Stanford's stellar team led by my co-senior author Roxana Daneshjou MD/PhD.👇

Excited to see our Nature Medicine paper out today led by Chanwoo Kim with my co-senior author Su-In Lee and an amazing team! We used a dermatology foundation model to enable explainable and transparent AI - from auditing datasets to models. nature.com/articles/s4159…

From counterfactuals to a new foundation model to promote medical #AI transparency
Credit Su-In Lee, Roxana Daneshjou MD/PhD and colleagues Allen School for this exceptional work
nature.com/articles/s4159…
Nature Medicine
nature.com/articles/s4155…
Nature Biomedical Engineering

#ArtificialIntelligence in Health and Biomedical Research: The Future Is Now | Su-In Lee
and Casey Greene will discuss potential mechanisms to develop holistic approaches to designing and developing the dynamics of sociotechnical systems in their #ENDO2024 plenary: