Broad Institute
Broad Institute

Broad Institute

Algorithms Artificial Intelligence Biological engineering Broad Institute Cells Computer science and technology Data Electrical engineering and computer science (EECS) Genetic engineering Genetics IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

A causal theory for studying the cause-and-effect relationships of genes

By sidestepping the need for costly interventions, a new method could potentially reveal gene regulatory programs, paving the way for targeted treatments.

Algorithms Artificial Intelligence Broad Institute Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Health Care Imaging machine learning MIT Schwarzman College of Computing National Institutes of Health (NIH) Research School of Engineering

A fast and flexible approach to help doctors annotate medical scans

“ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities.

Artificial Intelligence Broad Institute Cancer Computer science and technology Diagnostics Disease Electrical Engineering & Computer Science (eecs) health Health Care IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Institutes of Health (NIH) Research School of Engineering

AI model identifies certain breast tumor stages likely to progress to invasive cancer

The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.

Aeronautical and astronautical engineering Artificial Intelligence Biological engineering Broad Institute Chemical engineering Civil and environmental engineering Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Cryptography Data DMSE Economics Electrical Engineering & Computer Science (eecs) Electronics Environment Faculty Human-computer interaction human-robot interaction IDSS Immunology Laboratory for Information and Decision Systems (LIDS) machine learning Media Lab Medicine MIT Schwarzman College of Computing Music Music and theater arts Research Laboratory of Electronics Robotics School of Engineering School of Humanities Arts and Social Sciences School of Science

School of Engineering welcomes new faculty

Fifteen new faculty members join six of the school’s academic departments.

Artificial Intelligence Broad Institute Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Health Care Imaging machine learning MIT Schwarzman College of Computing National Institutes of Health (NIH) Research School of Engineering

New AI method captures uncertainty in medical images

By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.

Antibiotics Artificial Intelligence Biological engineering Broad Institute Drug discovery Drug resistance Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Research School of Engineering

Using AI, MIT researchers identify a new class of antibiotic candidates

These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.

Algorithms Artificial Intelligence Bacteria Biological engineering Biology Brain and cognitive sciences Broad Institute Computational biology Computer science and technology CRISPR Data DNA Genetic engineering Genome Genome editing McGovern Institute Microbes National Institutes of Health (NIH) Research RNA School of Engineering School of Science

Search algorithm reveals nearly 200 new kinds of CRISPR systems

By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.

Artificial Intelligence Biological engineering Broad Institute Cells Computer science and technology Data Electrical Engineering & Computer Science (eecs) Genetics Genome editing IDSS Jameel Clinic Laboratory for Information and Decision Systems (LIDS) machine learning Mechanical engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Research School of Engineering

A more effective experimental design for engineering a cell into a new state

By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.

Artificial Intelligence Biological engineering Biology Broad Institute Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) Harvard-MIT Health Sciences and Technology Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Mechanical engineering MIT Schwarzman College of Computing open source Research School of Engineering

MIT scientists build a system that can generate AI models for biology research

BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.

Artificial Intelligence Biological engineering Broad Institute Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Drug discovery Electrical engineering and computer science (EECS) machine learning Mathematics MIT Schwarzman College of Computing National Institutes of Health (NIH) National Science Foundation (NSF) Proteins Ragon Institute Research School of Engineering School of Science

New model offers a way to speed up drug discovery

By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.