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Can LLMs Extract Meaning from Clinical Data?
Part I of this series gives an overview of extracting meaning from structured and free-text medical records. In future parts, I'll describe semantic normalization before and after transformers & LLMs
link.medium.com/bCYp0jQdcJb
Join our TB detection ML contest to support the fight against tuberculosis. Prove your machine learning skills and win prizes. Contest open March 1 - April 1. #computationalmedicine #tuberculosis #mlcontest #ArtificialIntelligence #healthai
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Senthil K Nachimuthu retweeted
Recently had an ER visit for dehydration while out of town. Received some labs and 3 IV bags. Here's the bill- AFTER insurance. It's no wonder medical debt is the top cause of bankruptcy in the U.S. 🏥💸 #HealthcareCosts #MedicalDebtCrisis
If you're in the #SaltLakeCity area with kids interested in #STEM or you want to sponsor #STEMeducation , then #UtahSTEMExpo is the event to attend. utahstemexpo.org/
Saturday Jan 27, 2024. #Free and open to the public. @the_leonardo @BeehiveAcademy @STEMUtah
Congratulations to the winners! Join the Nightingale platform to do pioneering #healthcare #ml research and discover new medical knowledge on large data sets. Use @NightingaleOS as your teaching lab too.
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Great hands-on learning opportunity for #clinicalinformatics trainees and practitioners teapawt.net/snomedct/status/166429…
Registration ends May 31. Join NIH AIM-AHEAD ML Challenge to prove/improve your ML skills and discover new knowledge about breast cancer in minority patients. Win cash prizes & travel funds to present your work at the NIH AIM-AHEAD conference. #computationalmedicine #mlchallenge
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Congratulations to the winners of the second High Risk Breast Cancer Prediction Contest hosted by @NightingaleOS, @AHLI_cc and Providence. Thank you to @MooreFound for the support.
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Senthil K Nachimuthu retweeted
Please join us for our IABtalks 4/26 event, "@NightingaleOS: A Collaboration to Accelerate #Healthcare #MachineLearning #Research and Teaching using Large Open Data Sets" presented by Senthil K. Nachimuthu, MD, PhD (@nacsen)
RSVP here: redcap.link/April23IABTalks
We have launched our second ML contest to predict high risk breast cancer. Please share this with healthcare ML researchers in your network.
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Senthil K Nachimuthu retweeted
This is a 🧵 on MLOps / AI safety.
I’d love pointers for closing gaps in my understanding.
Starting w/ background first 👇
Congratulations! Please join the next high risk breast cancer prediction contest launching within a week and help discover new knowledge about cancer. Follow @NightingaleOS for updates or visit ngsci.org
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Nightingale also provides free GPU compute credits for the High Risk Breast Cancer Prediction Contest, which ends on Dec 21.
Join, win prizes and help the fight against cancer. ngsci.org/hbctw
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How would you make your ML model predict high risk cancers from biopsy slides in a clinically useful manner - so that the model output can be validated clinically and used in practice? I'd love to hear your comments. Join the contest too!
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If you want a reason to do the tutorial and use our platform, how about a contest to discover new knowledge about cancer and win prizes? ngsci.org/hbctw
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$20K prize money and $50K free compute credits to help breast cancer risk prediction research using machine learning. Join the ML contest from @NightingaleOS and AHLI. Pls retweet
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Senthil K Nachimuthu retweeted
Looking for health data?
@NightingaleOS gives you access to
1) cool data—digital pathology + cancer outcomes
2) cloud compute credits
if you join our inaugural data challenge! app.nightingalescience.org/c…
Learn more: Tuesday at 12p ET/9a PT with our partners @providence and AHLI
Pleased to share the early insights from our team about COVID-19 vaccine effectiveness, breakthrough infections and comorbidities.
Our first #COVID19 insights from the #TruvetaPlatform show that less than 1% of fully vaccinated people have adverse events. Click through to learn more. l.truveta.com/COVIDinsights
Senthil K Nachimuthu retweeted
*Calling to schedule an emergent port for a patient with metastatic cancer
OR: Ma’am is there ANYwhere else you can take this case?? We have 200 beds & 300 patients. The overflow are in ED and our COVID tent. Not trying to turn away cases. . . But we are in dire straits. (1/x)
















