Su-In Lee(@suinleelab) 's Twitter Profileg
Su-In Lee

@suinleelab

Paul G. Allen Professor in the Allen School of Computer Science & Engineering at the University of Washington @uwcse
AI/ML researcher; Computational biologist

ID:3403529301

linkhttp://suinlee.cs.washington.edu/ calendar_today05-08-2015 01:50:00

715 Tweets

3,1K Followers

229 Following

David A Knowles (@davidaknowles.bsky.social)(@david_a_knowles) 's Twitter Profile Photo

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.

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Sara Mostafavi(@sara_mostafavi) 's Twitter Profile Photo

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

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Su-In Lee(@suinleelab) 's Twitter Profile Photo

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.๐Ÿ‘‡

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Su-In Lee(@suinleelab) 's Twitter Profile Photo

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.๐Ÿ‘‡

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Roxana Daneshjou MD/PhD(@RoxanaDaneshjou) 's Twitter Profile Photo

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/s4159โ€ฆ

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Eric Topol(@EricTopol) 's Twitter Profile Photo

From counterfactuals to a new foundation model to promote medical transparency
Credit Su-In Lee, Roxana Daneshjou MD/PhD and colleagues Allen School for this exceptional work
nature.com/articles/s4159โ€ฆ
Nature Medicine
nature.com/articles/s4155โ€ฆ
Nature Biomedical Engineering

From counterfactuals to a new foundation model to promote medical #AI transparency Credit @suinleelab, @RoxanaDaneshjou and colleagues @uwcse for this exceptional work nature.com/articles/s4159โ€ฆ @NatureMedicine nature.com/articles/s4155โ€ฆ @natBME
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Endocrine Society(@TheEndoSociety) 's Twitter Profile Photo

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 plenary:

#ArtificialIntelligence in Health and Biomedical Research: The Future Is Now | @suinleelab and @GreeneScientist will discuss potential mechanisms to develop holistic approaches to designing and developing the dynamics of sociotechnical systems in their #ENDO2024 plenary:
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Su-In Lee(@suinleelab) 's Twitter Profile Photo

Excited to share that after a long embargo period, I've become a Fellow of AIMBE today! Grateful for the opportunity to collaborate with incredible students and collaborators.

Excited to share that after a long embargo period, I've become a Fellow of @aimbe today! Grateful for the opportunity to collaborate with incredible students and collaborators.
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Su-In Lee(@suinleelab) 's Twitter Profile Photo

I'm incredibly proud to have worked with University of Washington - MSTP student Joseph D. Janizek, who has received his Computer Science Allen School PhD from my lab! Wishing him all the best in his career. ๐ŸŽ“๐Ÿ‘

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University of Washington - MSTP(@UW_MSTP) 's Twitter Profile Photo

๐Ÿ“ฃ 2024 Residency match results are out! ๐Ÿ“ฃ

We are so excited for each and every one of you! No matter where your journey takes you, we are so happy to have been part of this chapter.

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๐Ÿ“ฃ 2024 Residency match results are out! ๐Ÿ“ฃ We are so excited for each and every one of you! No matter where your journey takes you, we are so happy to have been part of this chapter. ๐Ÿ’›๐Ÿพ๐Ÿ’œ
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Su-In Lee(@suinleelab) 's Twitter Profile Photo

Working with Kamila Naxerova HMS Genetics Department was an incredibly fascinating and inspiring experience! Check out what we learned by examining expression data through the lens of DNNs and interrogating them.

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Su-In Lee(@suinleelab) 's Twitter Profile Photo

Excited to announce our 'deep profiling' of 18 human cancers! Incorporating all available cancer expression data into DNNs was my first idea 14 years ago when joining UW. Honored to work with brilliant minds, Wei Qiu Allen School and Kamila Naxerova Harvard Medical School!
biorxiv.org/content/10.110โ€ฆ

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