MIT PhD students Tiffany Yau (left) and Teya Bergamaschi are two of the co-first authors behind a new paper introducing a deep learning model that can predict which patients with heart failure are at risk of having their condition worsen up to a year in advance (Credits: Alex Ouyang/MIT Jameel Clinic).
CSAIL article
Can AI help predict which heart-failure patients will worsen within a year?

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient’s lungs, legs, feet, and other parts of the body. The condition is chronic and incurable, often leading to arrhythmias or sudden cardiac arrest. For many centuries, bloodletting and leeches were the treatment of choice, famously practiced by barber surgeons in Europe, during a time when physicians rarely operated on patients. 

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MIT Sloan FinTech Conference

CSAIL Alliances is proud to support this event run by MIT Sloan students.

The MIT Sloan Fintech Conference is one of the largest student-run conferences in the world, bringing together hundreds of industry leaders, policymakers, founders, and students to explore the most pressing issues shaping the future of fintech.

This year, join us on February 20, 2026 as we discuss how technology like advances in ML and policy (i.e., stablecoins, open banking) are enabling new fintech infrastructure, payment experiences, and customer trust hubs.

Member DiscountAlliances members are eligible for a discount for this program. Please log in to view discount instructions.
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CSAIL article
MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct. 30, hosted by the Abdul Latif Jameel Clinic for Machine Learning in Health (MIT Jameel Clinic). Headlining the event was MIT PhD student and BoltzGen’s first author Hannes Stärk, who had announced BoltzGen just a few days prior.

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BoltzGen MIT Presentation

BoltzGen, a new open-source tool designed by MIT researchers, officially launched on October 26. It is a new generative model for designing protein and peptides of any modality to bind a wide range of biomolecular targets. The researchers are offering a live, in-person presentation with demos and discussion–register today!

Join the BoltzGen in MIT’s Stata Center, room 32-123, as they share details of the new model BoltzGen and discuss the future of biomolecular design 🧬

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2025 MIT Research and Development Conference
[Em]Powering the Future: Transforming Ideas into Reality

This event is organized by MIT Industrial Liaison Program (MIT ILP) with special discounts for friends of MIT CSAIL and complimentary passes for CSAIL Alliances members.

Visit the official event page for full event details.

Save 70% with code ILP70CSAIL at checkout. 
CSAIL Alliances Members, contact your CRC for a fully complimentary pass.

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Ray and Maria Stata Center
CSAIL Forum hosted by Daniela Rus

Please join us for a special fireside CSAIL Forum, featuring Sir Tim Berners-Lee!

 

Speaker: Tim Berners-Lee, CSAIL Professor Emeritus; Co-founder/CTO, Inrupt; author, This is For Everyone: the Unfinished Story of the World Wide Web

Venue: Live stream via Zoom: Registration required

 

Bio:

Sir Tim Berners-Lee, Co-founder/CTO, Inrupt

A new compound called enterololin suppresses a group of bacteria linked to Crohn’s disease flare-ups while leaving the rest of the microbiome largely intact. Researchers say it’s a step toward treatments designed to knock out only the bacteria causing trouble (Credits: Alex Shipps/MIT CSAIL, using assets from the researchers and Pexels).
CSAIL article
AI maps how a new antibiotic targets gut bacteria

For patients with inflammatory bowel disease, antibiotics can be a double-edged sword. The broad-spectrum drugs often prescribed for gut flare-ups can kill helpful microbes alongside harmful ones, sometimes worsening symptoms over time. When fighting gut inflammation, you don’t always want to bring a sledgehammer to a knife fight.

Fetal SMPL was trained on 20,000 MRI volumes to predict the location and size of a fetus and create sculpture-like 3D representations. The approach could enable doctors to precisely measure things like the size of a baby’s head and compare these metrics with healthy fetuses at the same age (Credits: Alex Shipps and Yingcheng Liu/MIT CSAIL).
CSAIL article
Machine-learning tool gives doctors a more detailed 3D picture of fetal health

For pregnant women, ultrasounds are an informative (and sometimes necessary) procedure. They typically produce two-dimensional black-and-white scans of fetuses that can reveal key insights, including biological sex, approximate size, and abnormalities like heart issues or cleft lip. If your doctor wants a closer look, they may use magnetic resonance imaging (MRI), which uses magnetic fields to capture images that can be combined to create a 3D view of the fetus.

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