And the proceedings of the #SMM4H workshop are out! If you can't make it this week to #ACL2024 to see our colleague Vishakha Sharma, here are the goodies: aclanthology.org/2024.smm4h-… @aclmeeting @gracielagon @sarkerabeed @davy_weiss @drjmbanda @ivanfloresa @guilopgar @pzfr

🚀 Exciting News! 🚀 We're thrilled to announce that our longitudinal electronic health record (EHR) dataset, EHRSHOT, is now available for download! 🌟 📊 6,738 patients 📅 41.7M events 🩺 921,499 visits Details at: ehrshot.stanford.edu/

🚀 Checkout our ICLR 2024 Spotlight Poster #165 today (Session 3) 🩺 "MOTOR: A Time-to-Event Foundation Model For Structured Medical Records" ✨ Highlights: - The first TTE foundation model for structured EHRs - Improves SOTA TTE by 4.6% & boosts label efficiency up to 95% - TTE pretraining scales to 16k tasks & reduces GPU memory usage by ~35% - Model weights available for research use! 🔍 Tutorial: github.com/som-shahlab/motor… 🤖 Model: huggingface.co/StanfordShahL… #ICLR2024 #AI #Healthcare

Thanks to the @nlm R01 funding - The competitions remain active on CodaLab for fair comparison of future systems. Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium academic.oup.com/jamia/artic…

SMM4H-2024: The 9th Social Media Mining for Health Research and Applications Workshop and Shared Tasks — Large Language Models (LLMs) and Generalizability for Social Media NLP healthlanguageprocessing.org…

For all NLP enthusiasts interested in social media data: Sign up for the #SMM4H 2024 Workshop and Shared Tasks! This year at @aclmeeting 2024 healthlanguageprocessing.org… @ivanfloresa @gracielagon @sarkerabeed @YutingGuo12 @drjmbanda @davy_weiss @pzfr Lucia Schmidt and more

Second keynote from #BLAH8 has @MKrallinger showing all the awesome work being done @BSC_CNS regarding clinical NLP and for low-resources languages as well.

Excited to be back in Japan for #BLAH8 where the focus this time is LLM usage in the context of biomedical annotation. Kicking things off we have @ProfLHunter making some great points about their evaluation

Busy day at #AMIA2023 on the #SMM4H2023 workshop! Looking forward to hear about the winning teams on this year's five shared tasks. @gracielagon @sarkerabeed and many others!

It was such a fun event! Thanks for the invite, and looking forward to the following ones!

Excellent panel on LLMs at the NLP Workgroup meeting. #OHDSI2023

Loving the LLM interest at the OHDSI 2023 symposium! Super cool study on use for chart reviewing patients! #ohdsi2023

It’s next Friday! Last year was super fun and I can’t wait to see what’s in store this year. Registrations are still open and please don’t forget to register for the NLP workgroup meeting on Oct 21st. #JoinTheJourney #OHDSI2023 @HuaXu_SBMI @drjmbanda

The #SMM4H Program is out! On Nov 11, we have shared task winners, two fantastic keynote speakers: the Academic Keynote by @LuisMateusRocha from Binghamton U and the Industry keynote by @RaulREsteban from Roche, and more! healthlanguageprocessing.org…

Do you want to deliver reliable evidence from observational healthcare data or develop tomorrow's hottest phylodynamics model? Find computational statistics and data science fascinating? Let me hire you as a Postdoctoral Fellow. Please email me directly ASAP! (flexible start)

There is still time to join the shared tasks at the premier venue for Social Media Mining for Health research #SMM4H, endorsed in 2023 by the AMIA KDD working group at the AMIA Symposium in New Orleans this November. 5 tasks - annotated datasets now out. healthlanguageprocessing.org…

There is still time to register and participate in this year's #SMM4H shared tasks led as always by @gracielagon and co-organized by @drjmbanda @RaulREsteban + others. Some really interesting tasks this time! healthlanguageprocessing.org…

Advancing EHR-based deep phenotyping... An algorithm for mapping clinical Observational Medical Outcomes Partnership (OMOP) vocabularies to @OBOFoundry ontologies to help systematically identify undiagnosed patients who might benefit from genetic testing. nature.com/articles/s41746-0…

We did it!! 💪🥳 This work was started during my PhD @CUAnschutz and completed during my Postdoctoral Fellowship @ColumbiaDBMI. There are so many important people to thank for making this work possible (please read all replies) 👇👇👇

Thrilled to collaborate in this unified endeavor to advance the OHDSI NLP solutions. @WCMPopHealthSci doi.org/10.1016/j.jbi.2023.1…