Machine learning model predicts probability that a patient’s UTI can be treated by various antibiotics

Book co-authored by Associate Professor Julie Shah and Laura Major SM ’05 explores a future populated with robot helpers.

Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.

MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis.

Wireless device captures sleep data without using cameras or body sensors; could aid patients with Parkinson’s disease, epilepsy, or bedsores.

Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.

Robotic gripper with soft sensitive fingers developed at MIT CSAIL can handle cables with unprecedented dexterity.

Using UVC light, the team's system can disinfect a warehouse floor in half an hour - and could one day be used in grocery stores, schools and other spaces

PhD student Geeticka Chauhan draws on her experiences as an international student to strengthen the bonds of her MIT community.

In a pair of papers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), two teams enable better sense and perception for soft robotic grippers.

CSAIL system uses wireless signals to measure in-home appliance usage to better understand health tendencies.

CSAIL system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication

Based on crowdsourced data, app helps patients, EMTs, and physicians determine real-time availability of hospital resources.

Mueller named 2020 Microsoft Research Faculty Fellow

Clinical and design considerations will be published online; goal is to support rapid scale-up of device production to alleviate hospital shortages.

Wireless system helps Boston retirement home care for COVID patients while reducing risk of contagion

New system uses Bluetooth signals from your smartphone, with the goal of automating Covid-19 contact tracing while preserving privacy

SprayableTech system lets users create large-scale interactive surfaces with sensors and displays using airbrushed inks

MIT talks with Love is Blind’s AI/data scientist Cameron Hamilton

New privacy laws like Europe’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) have spawned a new industry of companies and platforms advertising that they can anonymize your data and be compliant with the law.

In place of flat “breadboards,” 3D-printed CurveBoards enable easier testing of circuit design on electronics products.

System ensures hackers eavesdropping on large networks can’t find out who’s communicating and when they’re doing so.

In a Washington Post op-ed, CSAIL's R. David Edelman outlines how to regulate AI properly

A new MIT study finds “health knowledge graphs,” which show relationships between symptoms and diseases and are intended to help with clinical diagnosis, can fall short for certain conditions and patient populations. The results also suggest ways to boost their performance.