Disease
Disease

Disease

Alumni/ae Artificial Intelligence Awards, honors and fellowships Biology Computer Science and Artificial Intelligence Laboratory (CSAIL) Disease Electrical engineering and computer science (EECS) Faculty Harvard-MIT Health Sciences and Technology Health Care Health sciences and technology Koch Institute Mechanical engineering MIT Schwarzman College of Computing Physics Ragon Institute School of Engineering School of Science Vaccines Wireless

Five with MIT ties elected to National Academy of Medicine for 2025

Professors Facundo Batista and Dina Katabi, along with three additional MIT alumni, are honored for their outstanding professional achievement and commitment to service.

Algorithms Alumni/ae Artificial Intelligence Disease Electrical engineering and computer science (EECS) health Innovation and Entrepreneurship (I&E) machine learning Medicine School of Engineering Startups

Helping scientists run complex data analyses without writing code

Co-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.

Algorithms Antibiotics Artificial Intelligence Bacteria Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Disease Drug development Drug discovery Electrical engineering and computer science (EECS) Health Care Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Viruses

AI maps how a new antibiotic targets gut bacteria

MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Covid-19 Data Disease Drug development Electrical engineering and computer science (EECS) Health Care Health sciences and technology Influenza Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Vaccines Viruses

MIT researchers develop AI tool to improve flu vaccine strain selection

VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.

Antibiotics Artificial Intelligence Bacteria Biological engineering Disease Drug development Drug resistance Institute for Medical Engineering and Science (IMES) Medicine Microbes National Institutes of Health (NIH) Research School of Engineering

Using generative AI, researchers design compounds that can kill drug-resistant bacteria

The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.

Algorithms Artificial Intelligence Biological engineering Biology Broad Institute Cells Computer science and technology Department of Energy (DoE) Diagnostics Disease Electrical engineering and computer science (EECS) Genetics health IDSS Laboratory for Information and Decision Systems (LIDS) Medicine MIT Schwarzman College of Computing National Institutes of Health (NIH) Pharmaceuticals Research School of Engineering

How to more efficiently study complex treatment interactions

A new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.

Artificial Intelligence Biological engineering Biology Broad Institute Cells Computer science and technology Department of Energy (DoE) Diagnostics Disease DNA Electrical engineering and computer science (EECS) health Health Care IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Medicine MIT Schwarzman College of Computing National Institutes of Health (NIH) National Science Foundation (NSF) Pharmaceuticals Proteins Research School of Engineering

With AI, researchers predict the location of virtually any protein within a human cell

Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.

Algorithms Alumni/ae Artificial Intelligence Biological engineering Disease Faculty health Innovation and Entrepreneurship (I&E) Medicine MIT intellectual property School of Engineering Startups

MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease

ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.

Algorithms Artificial Intelligence Biology Cells Collaboration Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Disease Electrical engineering and computer science (EECS) Health sciences and technology machine learning MIT Schwarzman College of Computing Proteins Research School of Engineering School of Science Whitehead Institute

AI model deciphers the code in proteins that tells them where to go

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Disease Drug discovery Electrical engineering and computer science (EECS) Jameel Clinic Mathematics Research School of Engineering School of Science Viruses

A new computational model can predict antibody structures more accurately

Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.