"If discovering new drugs is like searching for a needle in a haystack, says Regina Barzilay, a computer scientist Massachusetts Institute of Technology (MIT) who helped to find abaucin and halicin, AI acts like a metal detector." 🌟Latest issue: The Economist on how AI is changing science economist.com/science-and-te…

Today #JameelClinic turns 5-years-old! 🎂 We've come a long way in such a short period of time with our mission to improve patient outcomes using the power of AI. For the month of September, we'll be highlighting our impact over the years and where we hope to be in the future.

Can AI help healthcare providers & patients when inevitably faced w/ challenging healthcare decisions? #JameelClinic PI Regina Barzilay spoke w/ Munther Dahleh & Liberty Vittert Capito on Data Nation MIT IDSS on some of the dilemmas facing AI in health today. 🎧 sites.libsyn.com/461385/data-di…

We will have the one and only Sergey Ovchinnikov talk at our Molecular ML #MoML conference on Nov 8th at MIT! 🤗 Spread the word :) Sign up for the free registration waitlist: moml.mit.edu/waitlist Or to register here: moml.mit.edu/event-details/…

Are you a student interested in meeting and networking with like-minded researchers in molecular machine learning? Add yourself to the #MoML Waitlist or submit a paper to receive free admission to #MoML! Seating is limited so we encourage you to save your spot ASAP! ⚡️⚡️⚡️

לא יודע מי יצר את הסרטון המצוין הזה שרץ בקבוצות וואצפ, אבל הוא מעולה ומעביר את המסר. אם יש לכם עוקבים מחו״ל, תצייצו את הסרטון עצמו בציוץ שלכם או תשתפו.

We are delighted to share the exciting news that Regina Barzilay has been elected to the prestigious National Academy of Medicine in recognition of her groundbreaking contributions to the field of health and medicine through innovative machine learning applications. bit.ly/MITNAM2023

The deadline for submitting a 1-2 page "paper" to the molecular ML conference (moml.mit.edu) is today AoE! Submit your work here and come present a poster at MIT on Nov 8th: forms.gle/KZs4AWX7t75Q7R…

📢 Attention molecular design enthusiasts! 🐦 Early Bird tickets for #MoML2023 are going fast! ⚡️ Don't miss out on our Early Bird offer to save on tickets and the chance to access the latest in cutting-edge research.

Interested in training chemistry prediction models but struggling with extracting data from the literature? We introduce TextReact which directly retrieves relevant texts to augment predictive chemistry. With TextReact, you can leverage the success of LLMs to advance AI in Chem.

12 awardees will be funded for their groundbreaking projects combining the power of AI and health! We hope this long-standing collaboration between Massachusetts Institute of Technology (MIT) and Mass General Brigham will contribute to the betterment of patient health outcomes and AI-adoption by healthcare systems.

Today is #MaternalHealthAwarenessDay! U.S. maternal mortality rates are the highest in the developed world & disproportionately impact both Black and Hispanic women. Vinith M Suriyakumar is working on a AI-powered risk assessment tool to improve health outcomes for expecting mothers.

Andrew Kirjner, Jason Yim, et al. developed a ML method to computationally optimize proteins in a matter of hours. Early results are published ICLR 2025 & are undergoing wet-lab validation to design new, functional proteins w/ applications in medicine. arxiv.org/pdf/2307.00494…

What are digital twins and how can they improve patient outcomes? We asked #JameelClinic PI Collin Stultz, who is both a @massgeneralbrigham cardiologist and CS professor @mit to explain this cutting-edge AI research, which was recently awarded with the MIT-mGB #AICures grant.

No joke — our flagship MIT-MGB #AICures Conference is back on April 1, 2024! We are excited to host the conference at MGB this year. Our call for abstracts is open for submissions and we encourage graduate researchers to submit their work. mitmgb.ai

Ever notice that image sets generated by Dall-E tend to look a lot alike? This poses a problem when trying to generate a diverse dataset, esp for genAI models in drug discovery. Gabriele Corso et. al propose an approach to help models diversify their samples. arxiv.org/pdf/2310.13102…

Sybil turns 1-year-old this month! Researchers and clinicians at MIT #JameelClinic and Mass General Cancer Center joined forces to build Sybil, a predictive deep learning model that uses low-dose CT scans to assess lung cancer risk up to 6 years in advance. news.mit.edu/2023/ai-model-…

Want to train chemistry prediction models but struggling w/ data extraction? Yujie Qian, Zhening Li et al. propose TextReact, which retrieves text descriptions relevant for a chem. reaction & aligns them w/ their molecular representation #EMNLP2023 arxiv.org/abs/2312.04881

Looking for feedback on your clinical AI research or a potential collaborator? Here's your reminder to submit an abstract to #AICures2024! Students with accepted submissions will receive FREE admission to the conference! Learn more about accepted topics: mitmgb.ai/abstract-submi…