MeMed BV is a blood test which uses the body’s immune response to distinguish between bacterial and viral infections. It does not detect the cause of an infection — instead it analyzes the “host response,”...
Yi Lu and Benito Marinas at the University of Illinois and University of Texas have developed a sensor that detects both the presence of a virus and whether or not it is infectious, integrating purpose designed DNA fragments...
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...
DeepCOVID-XR is a Northwestern University developed algorithm that automatically detects the signs of COVID-19 on a basic X-ray of the lungs. The system is able to detect COVID-19 in X-rays 10 times faster than thoracic...
UCSD’s Joe Wang has developed a totally noninvasive sensor and algorithm to detect glucose levels from sweat on the fingertip. The painless, rapid, and accurate system could revolutionize diabetes management. The systemcombines a simple touch-based fingertip sweat...