Broad Institute

Artificial IntelligenceMachine Learning

New AI system could accelerate clinical research

By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.

Read More
Artificial IntelligenceMachine Learning

3 Questions: On biology and medicine’s “data revolution”

Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.

Read More
Artificial Intelligence

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.

Read More
Artificial Intelligence

CellLENS reveals hidden patterns in cell behavior within tissues, offering deeper insights into cell heterogeneity — vital for advancing cancer immunotherapy.

Read More
Artificial Intelligence

Rationale engineering generates a compact new tool for gene therapy

Researchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.

Read More
Artificial IntelligenceMachine Learning

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.

Read More
Artificial Intelligence

The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.

Read More
Artificial IntelligenceMachine Learning

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.

Read More
Artificial IntelligenceMachine Learning

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.

Read More
Artificial IntelligenceMachine Learning

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.

Read More