CompCyst is a proof-of-concept study, led by Anne Marie Lennon at Johns Hopkins, which uses AI to more accurately determine which pancreatic cysts will become cancerous. The test evaluates molecular and clinical markers in cyst fluids,...
CompCyst is a proof-of-concept study, led by Anne Marie Lennon at Johns Hopkins, which uses AI to more accurately determine which pancreatic cysts will become cancerous. The test evaluates molecular and clinical markers in cyst fluids,...
Georgia Tech professor Ayanna Howard is using interactive robots to help autistic kids engage with others, socially and emotionally. Her company, Zyrobotics, is commericalizing this technology. In a study, 18 kids, between the ages of 4 and 12, five...
John Arkwrightand Flinders University colleagues have developed a tiny, low cost, fiber-optic sensor to monitor blood flowthrough the aorta in real-time. The goal is continuous monitoring during prolonged intensive care and surgical procedures. Current blood...
Building on his prior brain-controlled prosthetic work, Stanford’s Krishna Shenoyhas developed a simpler way to study brain electrical activity, which he believes will lead to tiny, low-power, wireless brain sensors that would bring thought-controlled prosthetics into...
Clive Svendsen, Gad Vatine, and Cedars Sinai and Ben Gurion University of the Negev colleagues have recreated the blood-brain barrier outside of the body using induced pluripotent stem cells for the first time. In...
MIT’s Subramanian Sundaramhas developed a sensor glove that identifies objects through touch. This could improve assistive robot performance and enhance prosthetic design.The cheap “scalable tactile glove” includes 550 tiny, pressure-capturing sensors. A neural network uses...
Miguel Nicolelishas developed a non-invasive system for lower-limb neurorehabilitation. Studysubjects wore an EEG headset to record brain activity and detect movement intention. Eight electrodes were attached to each leg, stimulating muscles involved in walking. After...
MIT CSAIL professor Regina Barzilayand Harvard/MGH professor Constance Lehman have developed a deep learning model that can predict breast cancer, from a mammogram, up to five years in the future. The model learned subtle breast tissue patterns that...
Eue-Keun Choiand Seoul National University colleages have developed an atrial fibrillation detecting ring, with similar functionality to AliveCor and other watch-based monitors. The researchers claim that the performance is comparable to medical grade pulse oximeters....
University of Vermont researchers have developed an algorithm that detects anxiety and depression in children’s voices with 80 per cent accuracy, according to a recent study. Standard diagnosis involves a 60-90 minute semi-structured interview with...