All Posts By: lisaweiner

Apple partners with UCLA, Biogen for iPhone mental/cognitive health monitoring

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 decline from sleep patterns, mobility, and how one uses the phone — for example, how often they look at its clock. […]

ApplySci’s 14th Wearable Tech + Digital Health + Neurotech conference returns to MIT on April 8, 2022. The COVID crisis has emphasized our need for technology to live better, healthier, longer lives.  Overcrowded hospitals, cancellations of elective surgeries, and the clear danger associated with face-to-face appointments have brough at-home and continuous health monitoring and treatment […]

Joe Wang fingertip glucose sensor

Wang’s fingertip sweat sensor detects glucose levels

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 electrochemical sensor with a new algorithm that addresses for personal variations toward the accurate estimate of blood glucose […]

Nurmikko’s Neurograins can enable unprecedented brain signal recording detail, new therapies

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 and send the signals wirelessly to a central hub, which coordinates and processes the signals. In a recent Nature paper, […]

AI detects COVID in chest x rays

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 radiologists and 1% to 6% more accurately. The developers said the AI could be used to rapidly screen patients at […]

Algorithm isolates specific brain signals, provides feedback

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 tasks mix together. Shanechi and her team used the algorithm to separate behaviorally relevant brain signals from behaviorally […]

“Ambient intelligence” monitoring to prevent medical errors, send alerts

Stanford’s Fei Fei Li, Arnold Milstein and albert Haque have developed AI and sensor based “ambient intelligence” protocols to prevent medical errors and improve outcomes. Applications include alerting clinicians and visitors when they fail to sanitize their hands before entering a hospital room; monitoring the elderly for behavioral clues of impending health crises; prompting caregivers, […]

Electrostatic and electrochemical sensors rapidly detect airborne viruses

Jang Jae-sung and Ulsan colleagues have developed a method to quickly and accurately detect airborne viruses, to inform public health and quarantine efforts. Electrostatic force captures and condenses viruses in the air, and a paper electrochemical sensor checks samples for antigens and virus antibodies. Liquid particles as small as 1 micrometer have been successfully collected. […]