Cardiology + Critical Care Fellow @BrighamWomens, MD/MBA @UChicago, Co-Founder @TimeDocHealth. Interested in risk prediction, data science, and entrepreneurship
📣 Competition launch alert! CUREBench competition at @NeurIPSConf 2025
Start here: https://t.co/HKw4IogWAR
Benchmarking AI for therapeutic reasoning, drug discovery, treatment planning, and therapeutic decision-making
🎯 Track 1: Develop AI models that rely on parametric memory alone
🎯 Track 2: Build AI agents that use external tools and resources
🎯 Evaluation will be done by agentic judges and human disease experts, in collaboration with our partners @cziscience and @harvard
💰 $40,000 in prizes, Starter Kit, Travel Awards, and more
⏰ Entry deadline: October 15, 2025
A big thank you to our partners: @cziscience@MilkenInstitute@BiswasFamilyFdn@cziscience Rare as One program @harvardmed@BrighamWomens
Organized by an amazing team: @GaoShanghua@RichardYXZhu@ZKong50693@xiaorui_su@CurtGinder Sufian Aldogom, Ishita Das, Taylor Evans, Theo Tsiligkaridis. Big congrats to @GaoShanghua for spearheading this effort
@HarvardDBMI@harvardmed@KempnerInst@MIT@broadinstitute
🌍 Excited to open up our global evaluation of AI for drug decision-making and therapeutic reasoning @GaoShanghua
Want to shape the future of therapeutic AI, from understanding existing medicines to developing new treatments for diseases with limited options?
Start here: https://t.co/uCdmJV6waU
How you can participate:
1️⃣ Evaluate TxAgent
Test-drive TxAgent, our AI built for therapeutic reasoning across all drugs since 1939, powered by a universal toolbox of 200+ tools. Assess its reasoning on accuracy, clinical relevance, drug safety, and more, each evaluation takes ~10 minutes.
Learn about TxAgent: https://t.co/tvn5L2vZZ0 and https://t.co/7YXZtmfjBP
2️⃣ Challenge the AI
Submit your toughest therapeutic questions: rare diseases, unmet patient needs, or how to safely extend existing treatments, including combination therapies and personalized treatments. Help build an open library of challenges and shape smarter biomedical AI
@GaoShanghua@ZKong50693@RichardYXZhu@xiaorui_su@CurtGinder Sufian Aldogom
Thanks to our many partners:
@HarvardDBMI@harvardmed@Harvard@KempnerInst@harvard_data@MIT@broadinstitute@BrighamWomens@MilkenInstitute@BiswasFamilyFdn@cziscience
Incredibly excited to publish our NOTIFY-LVH randomized trial of 648 patients within the @MassGenBrigham system, highlighting the potential of leveraging preexisting cardiovascular data to improve the detection and treatment of chronic cardiovascular conditions.
I am very thankful for the invaluable research training and support I received as a student @UChiPritzker and for the mentorship and guidance from @gauravaupadhyay that made this study possible.
So excited and incredibly humbled to welcome this very talented group of incoming fellows to the Brigham and Women' Cardiology Fellowship. Welcome to the family!
Now published: our manuscript on development & validation of NLP algorithms for assessing cardiovascular risk factors led by @adamberman @davidwbiery 👏
▶️ Highly accurate method ; superior to other approaches https://t.co/FljCKxDdUQ
Excited to have the opportunity to continue my training @BrighamFellows! Thankful for the family, friends, and mentors who have supported me along the way.
We are very excited and proud to welcome an incredibly talented group of incoming fellows to the Brigham and Women's Cardiology Fellowship!!! #TheFutureIsBright#BWHCVFellowship
Thank you @RonBlankstein@DLBHATTMD (and many others) for the incredible mentorship and support. It truly takes a village. Looking forward to elucidating novel insights into Lp(a) and CV prevention in this unique cohort 🙏
I pledge to continue opposing racism & hate. To set aside my implied right to silence, inaction, & comfort, and act to leverage my privilege to make a difference. Join me. @EJBrea@jillian_molli@cgireland2@WalkerReddMD
I pledge to continue opposing racism & hate. To set aside my implied right to silence, inaction, & comfort, and act to leverage my privilege to make a difference. Join me.
@sgleeMD@StephMooreMD@AJBloodMD@adambermanmd@CurtGinder
Chicago startup @TimeDocHealth, a health care startup that creates virtual care management software for hospitals, raised $5.7M in new funding https://t.co/oYzdYxU3JW
Important work reviewing the (rare!) successful applications of EHR Machine Learning products. Highlights the gap between initial hype and subsequent effort needed to launch something that actually impacts patient care.