Tag: COVID
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Chest sensor detects worsening asthma, respiratory disease
The RESP Sensor from Strados labs received FDA clearance for early, remote detection of lung acoustic and ventilation pattern changes to predict worsening respiratory disease. Lung sounds associated with asthma, COPD, heart failure and infectious diseases including COVID-19 are detected. Frequency of wheezing, coughing, shortness of breath, and respiratory dynamics including rate and excursion are…
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Sensors monitor physiological variables post vaccine
Wearable sensors could improve clinical trials by enabling earlier identification of abnormal reactions. Currently, vaccine safety in clinical trials is primarily determined by participants’ subjective self-reporting. Dan Yamin, Yiftach Gepner, and Tel Aviv University colleagues used a chest patch sensor to monitor various health indicators in 160 participants, before and after receiving the Pfizer BioNTech…
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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…
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Blood test distinguishes bacterial vs viral infections in 15 minutes
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,” measuring levels of three proteins that appear differently, depending on whether the immune system is fighting a virus or bacteria.…
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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…
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Presymptomatic COVID detection with wearables
Stanford’s Michael Snyder and colleagues have used smartwatch data to detect early, presymptomatic COVID-19 in 31 individuals out of a cohort of 5,000. They demonstrated that COVID-19 infections are associated with alterations in heart rate, steps and sleep in 80% of cases. Physiological alterations were detected prior to, or at, symptom onset in 85% of…
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Single sensor could simultaneously detect, differentiate between flu, coronavirus
University of Texas professor Deji Akinwande is developing a graphene sensor that can tell the difference between flu and coronavirus, and test for both simultaneously. The goal is to save time, medical resources, and cost, and speed appropriate treatment, as a second COVID wave could correspond with the next flu season. The sensor is the…
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Sensors 3D printed directly on lungs, heart could be used with surgical robots to diagnose, monitor disease
Michael McAlpine and University of Minnesota colleagues used 3D printing and motion capture technology to print electronic sensors directly on organs that are expanding and contracting, such as the heart and lungs. This could be used to diagnose and monitor the lungs of patients with COVID-19. This builds on the team’s technique which enabled the…