New technology can automatically identify infants at risk of developing neuromotor diseases
A team of researchers led by Huanyu “Larry” Cheng at Penn State developed wearable sensors and a machine learning algorithm to monitor infant movements for early detection of neuromotor diseases. The pilot study showed up to 99.9% accuracy in identifying at-risk infants. This technology is needed to detect issues early, before irreversible damage occurs. The…