ABSTRACTIntroduction. Increases in C-reactive protein (CRP) are used to track the inflammatory process of COVID-19 and are associated with disease state progres
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Cette IA compare les données médicales d’un patient avant et après qu’il ait eu le covid pour prédire s’il a un Covid long, avec plus de 80% de réussite.
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At the beginning of the COVID-19 pandemic, when false information about the virus began to spread on Twitter, physicians and scientists from Northwestern Medicine and other institutions banded together to combat the deadly misinformation and disinformation and support one another when they ultimately were attacked online for doing so.
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As of June 22, 2022, 3413 cases of monkeypox from 50 countries have been confirmed
by WHO. Accurate and timely predictions on where and how fast monkeypox might spread
are crucial to control the outbreak, and these could be provided by crowdsourced data.
Such data were essential in characterising and predicting the spread of SARS-CoV-2
during the early stages of the pandemic. Given the promise they show for emerging
infectious diseases, have crowdsourced predictions for such diseases come of age?
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