
MIT Jameel Clinic for AI & Health
@AIHealthMIT
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The epicenter of AI and health at MIT | Now on BlueSky: https://t.co/Sl6P9xLUH5 | Follow us on LinkedIn and Instagram.
Cambridge, MA
Joined November 2019
🤧 Ready for flu season? MIT PhD student @shi_wenxian and #JameelClinic faculty lead @BarzilayRegina co-authored new paper published in @NatureMedicine, that uses AI to predict future flu strains! .📰Read more in MIT News:
news.mit.edu
MIT's “VaxSeer” AI system predicts dominant flu strains months ahead and identifies the most protective vaccine candidates. It uses deep learning models that were trained on viral sequences and lab...
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RT @CancerGrand: Congratulations to #CancerGrandChallenges MATCHMAKERS team member @BarzilayRegina for making the 2025 #TIME100 list of glo….
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Now, AI can make better flu strain predictions than the @WHO thanks to a new model called VaxSeer developed by researchers @aihealthmit. First author & PhD student @shi_wenxian breaks down how VaxSeer works in 1.5 mins. 📄Paper:
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Please join us in congratulating #JameelClinic faculty lead @BarzilayRegina on her inclusion in @TIME's list #TIME100AI for 2025! 👏 .📢Full Announcement: .📰 TIME:
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RT @CommunityJameel: Congratulations @BarzilayRegina, faculty lead for AI at the MIT Jameel Clinic, on being named to the 2025 TIME100 AI,….
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How can small errors in medical notes lead AI to misdiagnose patients? @GlobeTechLab explores #JameelClinic PI @MarzyehGhassemi's pioneering research on AI bias in healthcare in a new feature published today.
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Just 2 weeks left before the end of our Early Bird offer for #MoML2025 🐦 MoML co-organizer @HannesStaerk breaks down what makes MoML so exciting and how you can participate! .🌟Register now for 40% off your ticket:
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🗝️The right drug molecule will bind to a protein to treat a disease. But what about "undruggable targets"? #JClinic PIs @BarzilayRegina & @MarzyehGhassemi co-authored a new paper in @NatureBiotech w/ 15 co-authors on how AI could challenge drug design.
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RT @CommunityJameel: Congratulations to Professor Jim Collins of the MIT Jameel Clinic (@AIHealthMIT) on the breakthrough use of generative….
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🦠 A new paper co-authored by @AIHealthMIT faculty lead Jim Collins was published in @CellCellPress today on using genAI to rapidly design novel antibiotics that can combat drug-resistant bacteria. Read more in MIT News:
news.mit.edu
With help from artificial intelligence, MIT researchers designed novel antibiotics that can combat a drug-resistant form of Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA).
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How can AI "look up" molecules to make better predictions? 🔍 @runzhong_wang, a postdoc in the lab of #JameelClinic PI @cwcoley presents MARASON, which combines an LLM technique ("RAG") with neural graph matching. This work was recently presented at #ICML2025.
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📣 Join us tomorrow @MITMuseum for a fun evening of AI & Discovery! @AIHealthMIT faculty lead Jim Collins & PhD student @HannesStaerk will share how AI is changing drug discovery, and there will be an interactive demo of @AIHealthMIT PI @dina_katabi's Emerald device 🤩
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RT @kiranshaw: The benefits of technology shouldn’t be underestimated. In #healthcare, #AI can accelerate diagnoses, enhance accuracy & imp….
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Can AI advance our scientific understanding of sleep? A 2024 workshop led by 26 researchers, including #JameelClinic PI @dina_katabi, is featured in @ResearchSleep as "Editor's Choice", highlighting how new AI approaches outperform traditional ones. 📄:
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These insights are part of an upcoming, 2-day @MITSloanExecEd course being led by @BarzilayRegina called "Transforming Healthcare with AI" which takes place from Oct. 23-24. 🍎Learn more:
executive.mit.edu
In person 2 day course at MIT Campus that introduces AI in healthcare
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🤖 Rapid advancements in AI have resulted in job replacement anxiety, even in medicine. But how can AI empower clinicians to improve medicine? #JameelClinic faculty lead @BarzilayRegina shares her insights with @MITSloan. 📰Read:
mitsloan.mit.edu
In health care, AI is speeding up administrative tasks, improving the accuracy of diagnoses, and curtailing unnecessary treatment.
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