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:
MIT’s Timothy Luhas developed an ingestible sensor with embedded genetically engineered bacteria to diagnose bleeding or other gastrointestinal issues. The “bacteria-on-a-chip” approach combines living cell sensors with ultra-low-power electronics that convert the bacterial response...
UCSD’s Joe Wang‘s needless adhesive glucose monitor has begun a phase I clinical trial. The small patch measures insulin levels through sweat on the skin, eliminating the need for a skin prick. The paper –...
Carla Pughdiscussed hacking healthcare with sensors at ApplySci’s Wearable Tech + Digital Health + Neurotech Silicon Valleyconference on February 26-27, 2018 at Stanford University:
Purdue’s Craig Goergenhas developed a sensor-based supine pressor test to detect preeclampsia. The technology measures and notes the difference between a pregnant woman’s diastolic blood pressure while in two different positions, using a BP...
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:
Mory Gharib and Caltech colleagues have developed an app which uses a phone camera to monitor heart health. When held to the neck, it infers the left ventricular ejection fraction of the heart by measuring...
Thomas Bulea and NIH colleagues have developed a robotic exoskeleton for children with cerebral palsy. “Crouch gait,” where a person walks with a perpetual bend in their knees, is a hallmark of the disease....
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...