The Apple/UCLA project “Seabreeze” and Apple/Biogen project “Pi” represent a further move into iPhone health monitoring. According to the Wall Street Journal, Apple is attempting to develop an algorithm to identify depression and cognitive...
Arto Nurmikko and Brown colleagues have developed BCI system which employs a coordinated network of independent, wireless microscale neural sensors, to record and stimulate brain activity. “Neurograins” independently record electrical pulses made by firing neurons...
The US Army and USC Prof Maryam Shanechi have developed an algorithm that can determine which specific behaviors—like walking and breathing—belong to specific brain signals. Segmenting brain signals has been notoriously difficult, as all signals associated with...
Helen Mayberg at Mount Sinai has published a study showing that deep brain stimulation of the subcallosal cingulate provides a lasting antidepressant effect in treatment-resistant depression. According to Mayberg: “Over eight years of observation, most of our...
University of Washington’s Dror Ben Zeev has published a paperdetailing a wide array of phone-based technology meant to support the recovery of psychosis throughout life — from early detection to symptom management to vocational rehabilitation, The...
Georgia Tech’s Woon-Hong Yeo has developed a 3D-printed, stretchable, battery-free, wireless sensor, implanted in brain blood vessels to measure incoming blood flow, to evaluate aneurysm healing. The tiny device wraps around stents or diverters implanted to...
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...
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...
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...
Edward Chang and UCSF colleagues are developing technology that will translate signals from the brain into synthetic speech. The research team believes that the sounds would be nearly as sharp and normal as a real person’s...