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Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms

Medicine and Health

Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithms

M. Gadaleta, J. M. Radin, et al.

This exciting study led by Matteo Gadaleta, Jennifer M. Radin, and their team reveals the promising potential of a machine learning model to accurately detect COVID-19 infections using data from wearable devices. The research demonstrates how scalable and passive monitoring can be achieved even without self-reported symptoms, marking a significant advancement in public health monitoring.

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