CSAIL

MIT scientists have developed a new machine learning tool that assesses fluid buildup in the lungs

AI in Health

Machine learning tool scans lung X-rays to predict heart failure

One of the ways physicians can gain some forewarning of impending heart failure is through the detection of excess fluid in the lungs, and MIT researchers have developed a new machine learning tool that could offer them a helping hand.

MIT researchers are steadily discovering how to learn more and more about people simply by bouncing radio waves off of them

Sleep

MIT can now monitor your sleep using radio signals

Have trouble sleeping? MIT researchers believe they have a better solution than attaching sleep-disrupting electrodes to you and making you spend the night in a sleep clinic: beaming you with radio waves in your own home.

MIT CSAIL researchers Fadel Adib, Mingmin Zhao, and Dina Katabi have developed EQ-Radio, a device that uses RF signals to read a person's heartbeat and breathing, in order to infer their emotional state

Wellness and Healthy Living

MIT's EQ-Radio wirelessly monitors heartbeat and breathing to detect emotions

Facial expressions tell us how others are feeling, but it's far from an exact science. Now, researchers from MIT have developed EQ-Radio, a device that uses RF signals to see through that poker face and determine someone’s emotional state with high accuracy, based on their heartbeat and breathing.