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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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Machine learning helps in predicting when immunotherapy will be effective

Cancer cells can put the body's immune cells into sleep mode. Immunotherapy can reverse this, but it doesn't work for all patients and all cancer types. Researchers have now developed machine learning models that can predict if someone is likely to respond positively to immunotherapy. In clinical settings, this could pave the way for personalized immunotherapy approaches for patients, as well as guidance on how to best combine immunotherapy with other treatments.

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