To help clinicians avoid remedies that may potentially contribute to a patient’s death, researchers at MIT and elsewhere have developed a machine-learning model that could be used to identify treatments that pose a higher risk than other options.
Sometimes, software is just like us. It can be bloated, slow, and messy. Humans might see a doctor if these symptoms persist (maybe not for messiness), but rarely do we push a flawed software program to go see its developer time and time again.
This new generation of GelSight’s mobile device offers a sleek form-factor that is one-third lighter and less than half the volume of its predecessor, allowing it to scan surfaces in tighter spaces, while maintaining accuracy, speed, and field of view.
MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and interpreting data, rather than being worn on the body.