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Could we save lives by assigning each American a place in line for vaccines?

Could we save lives by assigning each American a place in line for vaccines?
msn.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from msn.com Daily Mail and Mail on Sunday newspapers.

COVID news: CDC reviews J&J vaccine today; Philip funeral restrictions

COVID news: CDC reviews J&J vaccine today; Philip funeral restrictions
wisconsinrapidstribune.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from wisconsinrapidstribune.com Daily Mail and Mail on Sunday newspapers.

New COVID-19 study could help fine-tune vaccine priority lists, predict mortality

Artificial intelligence could help ‘fine-tune’ vaccine priority lists, predict mortality, study reports By Dasia Moore Globe Staff,Updated February 4, 2021, 6:32 p.m. Email to a Friend 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.

Pneumonia biggest Covid risk factor behind age, Harvard study finds

Pneumonia biggest Covid risk factor behind age, Harvard study finds Data from nearly 17,000 Covid patients was analysed in the research Other significant risk factors include type 2 diabetes, heart failure and chronic kidney disease, the researchers found. Electronic health records of nearly 17,000 US patients, who tested positive for coronavirus between March and November 2020, were analysed as part of the study published in the journal NPJ Digital Medicine. The researchers used the data to create a model to predict patient outcomes after they contract the disease. Their model was able to estimate the probability of death solely using past medical records. Patients were only included if data for at least one full year of medical history was available. 

EHR: Valuable Predictor of Those Likeliest to Die from COVID

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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