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Early warning signals could help monitor disease outbreaks

New research suggests early warning signals (EWSs) could help in the monitoring of disease outbreaks, such as COVID-19. The study found warnings could be detected weeks earlier than any rapid increase in cases. The findings could help governments and policy makers improve the accuracy of their decisions and allow timely interventions if needed. from Top Health News -- ScienceDaily https://ift.tt/3DvxDk4 via IFTTT
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Microscopy deep learning predicts viral infections

When viruses infect cells, changes in the cell nucleus occur, and these can be observed through fluorescence microscopy. Using fluorescence images from live cells, researchers have trained an artificial neural network to reliably recognize cells that are infected by adenoviruses or herpes viruses. The procedure also identifies severe acute infections at an early stage.

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