Browsing Tag: Johns Hopkins

Hopkins developed saliva sensor improves speed and accuracy of COVID detection

David Gracias and Ishan Barman at Johns Hopkins have developed a COVID 19 sensor which provides fast and accurate results using a drop of saliva placed on a device. No additional chemical modifications like molecular labeling or antibody functionalization are required, which could allow the sensor to be used in wearable devices. Current PCR tests […]

Computer modeling may help soldiers, athletes, avoid concussions

http://hub.jhu.edu/2013/03/07/concussion-research-impact Johns Hopkins engineers have developed a powerful new computer-based process that helps identify the dangerous conditions that lead to concussion-related brain injuries. Professor K.T. Ramesh¬†led a team that used a technique called diffusion tensor imaging, together with a computer model of the head, to identify injured axons, which are tiny but important fibers that […]