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Could we save lives by assigning each American a place in line for vaccines?
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COVID news: CDC reviews J&J vaccine today; Philip funeral restrictions
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Artificial intelligence could help âfine-tuneâ vaccine priority lists, predict mortality, study reports
By Dasia Moore Globe Staff,Updated February 4, 2021, 6:32 p.m.
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The CDC has recommended a phased approach to vaccine distribution, which states and communities can modify as they see fit.AHMAD GHARABLI/AFP via Getty Images
Much of the debate around vaccine prioritization hinges on one question: Who faces the greatest risk of dying if they become infected with COVID-19? Thus far, it is a question without a definitive answer.
Age is one way to gauge risk, with the Centers for Disease Control and Prevention recommending that people aged 75 and older be among the first members of the general public to have access to the vaccine. But in the next phase of distribution, as the CDC tries to factor in underlying medical conditions, the calculation becomes much more complex.
EHR: Valuable Predictor of Those Likeliest to Die from COVID by Colleen Fleiss on February 6, 2021 at 3:37 AM
Artificial intelligence (AI) identifies factors such as age, history of pneumonia, gender, race and comorbidities like diabetes and cancer as predictors of poor outcomes in COVID-19 patients, said Massachusetts General Hospital (MGH) researchers. The findings of the study are published in npj Digital Medicine. By combining computational methods and clinical expertise, we developed a set of models to forecast the most severe COVID-19 outcomes based on past medical records, and to help understand the differences in risk factors across age groups, says co-lead author Hossein Estiri, PhD, an investigator in the Laboratory of Computer Science at MGH and an assistant professor of Medicine at Harvard Medical School (HMS).
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