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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

Machine learning could eliminate unnecessary treatments for children with arthritis

Machine learning algorithm was able to sort children with arthritis into seven distinct types of disease according to the location of painful joints in the body in a way that was predictive of disease outcome. This will help physicians to better tailor treatment so that patients who are more likely to develop milder form of disease can be spared medications that can have serious side effects.

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