Trained on a large, heterogeneous, real-world dataset, our CovRNN models showed high
prediction accuracy and transferability through consistently good performances on
multiple external datasets. Our results show the feasibility of a COVID-19 predictive
model that delivers high accuracy without the need for complex feature engineering.
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Two cases of COVID-19 monitored by a wearable biosensor—a case report
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A new digital health study by researchers at Scripps Research shows how data from wearable sensors, such as smartwatches and fitness bands, can track a person’s physiological response to the COVID-19 vaccination.
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Examining lessons learned and formulating recommendations for the new COVID committee within the EP.
Lire l'article complet sur : epha.org