Juan M. Banda, Ph.D

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

[Raul Rodriguez-Esteban @RaulREsteban]

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: https://t.co/7vlETgq6BY @aclmeeting @gracielagon @sarkerabeed @davy_weiss @drjmbanda @ivanfloresa @guilopgar @pzfr

[Juan M. Banda, Ph.D @drjmbanda]

@BioNLProc Better yet, offer the additional low-cost remote option... always!

[Jason Alan Fries @jasonafries]

🚀 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: https://t.co/g3TDVBEJsv

[Jason Alan Fries @jasonafries]

🚀 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: https://t.co/1zKF05JS6A
🤖 Model: https://t.co/Ka9YUHNJNG
#ICLR2024 #AI #Healthcare

[Graciela Gonzalez-Hernandez, PhD @gracielagon]

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 https://t.co/rvCSoq5AMf

[Graciela Gonzalez-Hernandez, PhD @gracielagon]

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 https://t.co/HcbafH8g8z

[Raul Rodriguez-Esteban @RaulREsteban]

For all NLP enthusiasts interested in social media data: Sign up for the #SMM4H 2024 Workshop and Shared Tasks!

This year at @aclmeeting 2024

https://t.co/0NynMeGQEk

@ivanfloresa @gracielagon @sarkerabeed @YutingGuo12 @drjmbanda @davy_weiss @pzfr Lucia Schmidt and more

[Juan M. Banda, Ph.D @drjmbanda]

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.

[Juan M. Banda, Ph.D @drjmbanda]

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

[Juan M. Banda, Ph.D @drjmbanda]

@bayesianboy Put up everything you own in storage and go travel for a few months/weeks. Best way to wind down from PhD program and will bring clarity to next steps.

[Juan M. Banda, Ph.D @drjmbanda]

@ANordsletta @ehealthNORWAY @AMIAinformatics Not quite true on the parameters. GPT3 has 175 billion parameters. However, chatGPT was based on GPT-3.5 and more recently GPT-4 which the parameter numbers is not clear: https://t.co/PJDsqxnjkb

[Juan M. Banda, Ph.D @drjmbanda]

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!

[Juan M. Banda, Ph.D @drjmbanda]

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

[Roxana Daneshjou MD/PhD @RoxanaDaneshjou]

DID WE JUST BREAK OPENAI? Suddenly, no one's ChatGPT was working.

[Juan M. Banda, Ph.D @drjmbanda]

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

[Juan M. Banda, Ph.D @drjmbanda]

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

[Vipina K Keloth @Vipina_Keloth]

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

[Graciela Gonzalez-Hernandez, PhD @gracielagon]

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!

https://t.co/H4T1ZclXn1

[Marc Suchard @suchard_group]

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]

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.
https://t.co/H4T1Zclpxt

[Abeed Sarker, PhD @sarkerabeed]

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!

https://t.co/PSf0FhfBtI