Edward Changat UCSF, Mark Chevillet at Facebook, and colleagues, have published a studywhere implanted electrodes were used to “read” whole words from thoughts. Previous technology required users to spell words with a virtual keyboard. Subjects listened...
Kang Lee, Zong Ping Feng, Paul Zheng, and University of Toronto colleagues are measuring blood pressure using a selfie video and transdermal optical imaging technology. Because of its translucency, phone optical sensors can capture red light...
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...