Phillip Alvelda discussed AI and the brain at ApplySci’s recent Wearable Tech + Digital Health + Neurotech Silicon Valley conference at Stanford: Dr. Alvelda will join us again at Wearable Tech + Digital Health...
Berkeley’s Bob Knightdiscussed (and demonstrated) decoding language from direct brain recordings at ApplySci’s recent Wearable Tech + Digital Health + Neurotech Silicon Valley at Stanford: Join ApplySci at the 9th Wearable Tech + Digital Health +...
Stanford’s Zhenan Bao has developed an artificial sensory nerve system that can activate the twitch reflex in a cockroach and identify letters in the Braille alphabet. Bao describes it as “a step toward making skin-like sensory...
Nathan Intratordiscussed epilepsy, AI and digital signal processingat ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valleyconference on February 26-27, 2018 at Stanford University:
UT Southwestern researchers are using EEG to determine whether an SSRI would effectively treat a person’s depression. Part of the EMBARCproject, the studytracked 300 depressed patients who were given an 8 week course of an...
Walter Greenleaf discussed medical applications of VR and AR technology at ApplySci’s Wearable Tech + Digital Health + Neurotech Silcon Valleyconference at Stanford University on February 26-27, 2018:
Shwetak Patel and UW colleagues have developed PupilScreen, an app that uses a phone’s camera to detect concussion from the pupil. The phone’s video camera and flash check the eye for its pupillary light...
Ed Boyden and MIT colleagues have developed a robotic system capable of monitoring specific neurons. An algorithm based on multiple image processing methods analyzes microscope images and guides a robotic arm to within 25...
Google has introduced a new depression screening feature. When the word “depression” is used in search, mobile users are offered a PHQ-9 questionnaire, which recognizes symptoms. A “Knowledge Panel” containing information and potential treatments appears...
In a recent study, Maya Koronyo-Hamaoui and Keith Black at Cedars-Sinai used a retina scan to detect amyloid-beta deposits, a predictor of Alzheimer’s disease, up to 20 years before symptoms. 16 Alzheimer’s patients drank...