Prototype smartphone app can help parents detect early signs of eye disorders in children

A researcher's prototype smartphone app — designed to help parents detect early signs of various eye diseases in their children such as retinoblastoma, an aggressive pediatric eye cancer — has passed its first big test.

Read more

Amputees merge with their bionic leg


Scientists have helped three amputees merge with their bionic prosthetic legs as they climb over various obstacles without having to look. The amputees report using and feeling their bionic leg as part of their own body, thanks to sensory feedback from the prosthetic leg that is delivered to nerves in the leg's stump.

Read more

Machine learning predicts behavior of biological circuits

Biomedical engineers have devised a machine learning approach to modeling the interactions between complex variables in engineered bacteria that would otherwise be too cumbersome to predict. Their algorithms are generalizable to many kinds of biological systems.

Read more

An artificial skin that can help rehabilitation and enhance virtual reality

Scientists have developed a soft artificial skin that provides haptic feedback and — thanks to a sophisticated self-sensing mechanism — has the potential to instantaneously adapt to a wearer's movements. Applications for the new technology range from medical rehabilitation to virtual reality.

Read more

AI helps scientists predict depression outcomes

Two studies provide evidence for the impact of biology by using artificial intelligence to identify patterns of brain activity that make people less responsive to certain antidepressants. Put simply, scientists showed they can use imaging of a patient's brain to decide whether a medication is likely to be effective.

Read more

Machine learning could offer faster, more precise results for cardiac MRI scans

Cardiac MRI scans can be read by AI (artificial intelligence) 186 times faster than humans, with comparable precision to experts. Because the greatest source of measurement errors are human factors, AI has the potential to improve future clinical decision making.

Read more