Juan M. Banda, Ph.D (@drjmbanda) 's Twitter Profile
Juan M. Banda, Ph.D

@drjmbanda

Senior Data Scientist at Stanford Health Care TDS. Helping bring AI and machine learning to the clinic. Opinions are my own and not endorsements.

ID: 3140843947

linkhttp://www.panacealab.org/ calendar_today05-04-2015 23:03:29

448 Tweet

633 Followers

454 Following

npj Digital Medicine (@npjdigitalmed) 's Twitter Profile Photo

Advancing EHR-based deep phenotyping... An algorithm for mapping clinical Observational Medical Outcomes Partnership (OMOP) vocabularies to OBO Foundry ontologies to help systematically identify undiagnosed patients who might benefit from genetic testing. nature.com/articles/s4174…

Advancing EHR-based deep phenotyping... An algorithm for mapping clinical Observational Medical Outcomes Partnership (OMOP) vocabularies to <a href="/OBOFoundry/">OBO Foundry</a> ontologies to help systematically identify undiagnosed patients who might benefit from genetic testing.

nature.com/articles/s4174…
Tiffany Callahan (@tiff_callahan) 's Twitter Profile Photo

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

Abeed Sarker, PhD (@sarkerabeed) 's Twitter Profile Photo

There is still time to register and participate in this year's #SMM4H shared tasks led as always by Graciela Gonzalez-Hernandez, PhD and co-organized by Juan M. Banda, Ph.D Raul Rodriguez-Esteban + others. Some really interesting tasks this time! healthlanguageprocessing.org/smm4h-2023/

Graciela Gonzalez-Hernandez, PhD (@gracielagon) 's Twitter Profile Photo

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/smm4h-2023/

Marc Suchard (@suchard_group) 's Twitter Profile Photo

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)

Graciela Gonzalez-Hernandez, PhD (@gracielagon) 's Twitter Profile Photo

The #SMM4H Program is out! On Nov 11, we have shared task winners, two fantastic keynote speakers: the Academic Keynote by Luis M. Rocha from Binghamton U and the Industry keynote by Raul Rodriguez-Esteban from Roche, and more! healthlanguageprocessing.org/smm4h-2023/

Vipina K Keloth (@vipina_keloth) 's Twitter Profile Photo

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 Hua Xu Juan M. Banda, Ph.D

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 <a href="/HuaXu_SBMI/">Hua Xu</a> <a href="/drjmbanda/">Juan M. Banda, Ph.D</a>
Graciela Gonzalez-Hernandez, PhD (@gracielagon) 's Twitter Profile Photo

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/smm4h-2024/

Graciela Gonzalez-Hernandez, PhD (@gracielagon) 's Twitter Profile Photo

Thanks to the Nobody Luvs Me 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/article/…

Jason Alan Fries (@jasonafries) 's Twitter Profile Photo

🚀 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% -

🚀 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% &amp; boosts label efficiency up to 95%
-
Jason Alan Fries (@jasonafries) 's Twitter Profile Photo

🚀 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