MIT Jameel Clinic for AI & Health

Science is Curiosity on a Mission: It includes all of us who ask "why" and make it our mission to find out. These are the discoveries that move the country forward. The pursuit of ideas that seemed impossible until they weren’t. #CuriosityOnAMission

Congrats to @AIHealthMIT PI Elazer @EdelmanLab for receiving the 2026-2027 Killian Award, @MIT's highest faculty honor! "He is a clinician of the highest order...a teacher of greatest passion...and an engineer whose work has reached around the globe." news.mit.edu/2026/elazer-ed…

Extracting deeper insights from H&E slides has remained a challenge. A new AI framework called SPARC reads routine H&E slides and infers the activity of 40 biological programs known to drive cancer growth, immune response, and treatment resistance. medrxiv.org/content/10.648…

🏥 AI is now predicting breast cancer risk in real patients, at real hospitals, right here in Massachusetts. @Priyanka_Dayal for WBUR shares how @aihealthmit researchers made this technology possible and how it's already transforming women's health. wbur.org/news/2026/05/0…

The story of Mirai, MIT's AI model that can detect breast cancer years before humans do: tinyurl.com/mrx95vxx

🗓️ Mark your calendars! #JameelClinic AI faculty lead @BarzilayRegina will be giving the prestigious 2026 Joseph Leiter NLM/MLA Lecture on Wednesday, June 10 from 2pm to 3pm EDT! @nih_nlm

⚖️ 🔨 When removing one bias from an AI model, it can create or amplify other biases. This can lead to what AI researchers call the "whac-a-mole dilemma." A new paper from @aihealthmit researchers proposes a smarter debiasing approach. news.mit.edu/2026/smarter-w…

@javier_maravall @BarzilayRegina @HarvardCMSA @HarvardMath Yes, a recording will be made available soon!

@AIHealthMIT @BarzilayRegina @HarvardCMSA @HarvardMath Will there be a recording available?

🧬 💊 How much further does ML have to go when it comes to drug design? Yesterday, #JameelClinic AI faculty lead @BarzilayRegina delivered the Sixth Annual Yip Lecture @HarvardCMSA. Thanks to the organizers as well as all who attended and asked thoughtful questions!

📢 Please join us today @Harvard @ 4pm ET where #JameelClinic AI faculty lead @BarzilayRegina will be giving the prestigious Yip Lecture hosted by @HarvardCMSA in-person and via Zoom! 🗓️RSVP: cmsa.fas.harvard.edu/event/yip-2026/

At #AACR26, Regina Barzilay, PhD (@BarzilayRegina @AIHealthMIT) discusses how AI-driven approaches are advancing early detection, therapeutic discovery and clinical management.

🩺 🌐 What role does AI have to play in the public health sphere? We asked @AIHealthMIT Public Health Liaison and @MITmedical pediatrician Ed Levy to share his perspective on what he thinks everyone should know during #PublicHealthWeek.

🤔⚖️ What is the cost of ambiguity when regulating clinical AI? In @LancetDigitalH, researchers @aihealthmit, Kendall Sq Policy Strategies, @MayoClinic, & @MassGenBrigham recommend more transparency + pragmatism for clinical decision support tools. thelancet.com/journals/landi…

Where would the field of clinical AI be without PhysioNet? 🎂 This year marks the 25th anniversary of one of the most comprehensive clinical data repositories in existence, best known for hosting datasets like MIMIC and the MIT-BIH Arrhythmia Database. jclinic.mit.edu/physionet-at-2…

👏 Congratulations again to @aihealthmit PI and @mitopenlearning Vice Provost @dbertsim on being recognized with the Killian Faculty Achievement Award! news.mit.edu/2026/algorithm…

Yesterday, @AIHealthMIT faculty lead @BarzilayRegina and @LindaGGriffith1 met w/ Sen. @BillCassidy to share MIT research on how AI can benefit patients and women’s health. He was an excellent listener, asking thoughtful questions about the complex challenges facing health today.

✨🫀Thanks to genAI, we can create realistic, digital organs for virtual clinical trials. But looking realistic is easy — behaving realistically remains a challenge. A new paper accepted to @iclr_conf from @aihealthmit researchers proposes a solution: openreview.net/pdf?id=JyboUMe…

🚀MIT Flow Matching and Diffusion Lecture 2026 Released (diffusion.csail.mit.edu)! We just released our new MIT 2026 course on flow matching and diffusion models! We teach the full stack of modern AI image, video, protein generators - theory and practice. We include: 📺 Videos: Step-by-step derivations. 📝 Notes: Mathematically self-contained lecture notes 💻 Coding: Hands-on exercises for every component We fully improved last years’ iteration and added new topics: latent spaces, diffusion transformers, building language models with discrete diffusion models. Everything is available here: diffusion.csail.mit.edu A huge thanks to Tommi Jaakkola for his support in making this class possible and Ashay Athalye (MIT SOUL) for the incredible production! Was fun to do this with @RShprints! #MachineLearning #GenerativeAI #MIT #DiffusionModels #AI

🚨 High-profile breaches, such as Stanford Hospital’s $20M lawsuit over leaked records, underscore the need to audit AI models in healthcare. @sana_tonekaboni elaborates on how we can ensure electronic health records don't get exposed.

Researchers @AIHealthMIT & @Meta were recently selected to give an oral presentation @iclr_conf on GLASS Flows, a method for improving the computational efficiency of flow matching & diffusion models w/o additional fine-tuning. openreview.net/pdf?id=vH7OAPZ…