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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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Using deep learning to predict disease-associated mutations

A research team implemented a robust deep learning approach to predict disease-associated mutations of the metal-binding sites in a protein. This is the first deep learning approach for the prediction of disease-associated metal-relevant site mutations in metalloproteins, providing a new platform to tackle human diseases.

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