The USFDA has released an emergency use authorization (EUA) for the first machine-learning-based COVID-19 non-diagnostic screening system that detects biomarkers predicting certain conditions, including hypercoagulation. Researchers worldwide are using various outbreak models for COVID-19, enabling health care workers to make well-informed decisions and impose substantial control measures. The screening device is designed to be used by qualified and trained staff to avoid getting exposed to SARS-CoV-2.
It detects biomarkers that suggest SARS-CoV-2 infection and other hypercoagulable conditions , such as sepsis or cancer, or hyper-inflammatory conditions, such as extreme allergic reactions, in asymptomatic individuals over five years of age. This screening device comprises an armband with embedded light sensors and a small computer processor. The armband is wrapped around a person's left…
