Excited to share our recent work: "#SingleCell Masked Autoencoder: An Accurate and Interpretable Automated Immunophenotyper"
scMAE model transforms high-throughput single-cell cytometry, offering a scalable, robust, and precise immunophenotyping tool.@EJohnWherry@_ImmuneHealth_
At ML4H Symposium at @NeurIPSConf today! Looking forward to all of the exciting talks/posters and to meet others working on machine learning in healthcare throughout the day! @SymposiumML4H#ML4H
Congratulations to our Health Equity & Global Health Best Proceedings Paper, “How Fair are Medical Imaging Foundation Models?” from Muhammad Osama Khan, Muhammad Muneeb Afzal, Shujaat Mirza, Yi Fang. https://t.co/Vxy28vvAPV
💫🎙️We kicked off our day with our first Keynote Talk from @ensoesie on “Measuring the Social Determinants of Health with social media, mobile phone, and imaging data” 📱🖼️ Thanks Elaine for a great talk!
🌟 Keynote Spotlight! 🌟 We are ecstatic to have Dr. Marinka Zitnik as a keynote speaker at #ML4H! A leading voice at the intersection of AI and healthcare, she's an Asst. Prof at Harvard University and the co-founder of Therapeutics Data Commons. 🎓🔬
🌟 Keynote Alert! 🌟 We're thrilled to announce Dr. Elaine O. Nsoesie as one of the keynote speakers for #ML4H! A prominent advocate for health equity, she's a game-changer in leveraging data and AI to address social disparities in healthcare. 🏥🌍
🚨 New Paper Alert! Our latest research by @suhgoood introduces an interpretable #Alzheimers Disease oligogenic risk score, enriched with neuroimaging biomarkers, that enhances risk prediction and stratification. https://t.co/eLTl4dGKDO
@UPennGCB@UPennIBI@UPennDBEI@lishenlc
Having a fantastic time! 🎉 @manu_shivakumar is soaking in the vibrant atmosphere at the amazing party thrown by @PacBio. A perfect blend of fun and networking at #ASHG23! 🥳🔬 @UPennGCB@UPennIBI
Thanks to the generosity of our sponsors, we are pleased to offer travel grants for early career trainees in need of financial assistance. If you are in need of travel support, please fill out this form by November 8: https://t.co/6qrDBdneko
#ICCV2023 Day 2
There is too much research in uncertainty estimation for it to not be attempted in all ML biomed applications.
I didn’t know estimating a required sample size was possible! Let alone an active area of research. Very cool, imperative for medicine @RafidRMahmood
#ICCV2023
All around amazing first day. Personal favorites were @olivierhenaff@vincesitzmann and Kristen Grauman !! all of their work is SO COOL. super inspiring, made me rethink my own current projects. Time to read some papers.
I'm excited to see our work on immune responses during SARS-CoV-2 breakthrough infection out in @NatImmunol! The results highlight the broad benefits of vaccination and especially the role of memory T cells in the critical early stages of the infection.
https://t.co/VX8lrHKsWA
🎙️: New episode of AIGR is out!
We had the rare opportunity to pick @mcuban's brain on a broad range of topics including what's wrong with drug pricing, how LLM's will (or won't) change healthcare, and which NBA player is the 🐐!
https://t.co/8hSlgUBHZ9
📣A massive shoutout to @Google for being an incredible sponsor for #ML4H2023! 🫶 Your support is pushing the boundaries of machine learning in healthcare, bringing innovative solutions closer to reality. Together, we’re reshaping the future of health! 🤖🩺 #ThankYouGoogle
🤖⚕️ #ML4H 2023: Where cutting-edge AI meets healthcare innovation! Become a sponsor and empower a diverse and inclusive community of researchers and trainees. Showcase your brand alongside industry pioneers and stand at the forefront of change. 🫶
https://t.co/HWrf3BtlU0