Researchers at the Indian Institute of Technology Bombay in India and the QIMR Berghofer Medical Research Institute in Australia have created a rapid method to determine whether a COVID-19 patient is likely to show severe symptoms.
WHAT IT'S ABOUT
The classification algorithm that was developed is based on infrared spectra of blood plasma acquired using the Agilent Cary 630 FTIR Spectrometer by...
Israeli researchers have recently detailed a new machine learning-based COVID-19 model that predicts a positive diagnosis from symptoms and – notably – is designed to be implemented among the general population.
Published in npj Digital Medicine, the tool was developed and tested on roughly 100,000 reverse transcriptase polymerase chain reaction (RT-PCR) testing records recorded from Israeli...
Symptom-based COVID-19 screening can be improved by incorporating data collected from wearable sensors into prediction algorithms, an approach that could complement ongoing testing efforts by spotting symptomatic and pre-symptomatic individuals early, according to a research letter recently published in nature medicine.
The findings are part of the DETECT (Digital Engagement and Tracking for...
