National Institutes of Health (NIH)
National Institutes of Health (NIH)

New AI technique could make minimally invasive surgeries safer and more precise

This patient-specific method, called xvr, helps doctors use X-rays for surgical navigation in fields such as orthopedics and neurosurgery.

Lifesaving Lincoln Laboratory device wins 2026 Excellence in Technology Transfer Award

The handheld catheterization device AI-GUIDE, created by Lincoln Laboratory and Massachusetts General Hospital, promises improved health outcomes for injured service members and civilians.

Connecting research to policy on Capitol Hill

MIT students and postdocs discussed science funding and research with policymakers in Washington during the MIT Science Policy Initiative’s annual Congressional Visit Days.

AI to help researchers see the bigger picture in cell biology

By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.

AI algorithm enables tracking of vital white matter pathways

Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.

Deep-learning model predicts how fruit flies form, cell by cell

The approach could apply to more complex tissues and organs, helping researchers to identify early signs of disease.

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.

Machine-learning tool gives doctors a more detailed 3D picture of fetal health

MIT CSAIL researchers developed a tool that can model the shape and movements of fetuses in 3D, potentially assisting doctors in finding abnormalities and making diagnoses.

Researchers glimpse the inner workings of protein language models

A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.

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.