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Synthetic data accurately replicates the results of analyses from real COVID-19 patient data

Research led by Washington University School of Medicine in St. Louis has demonstrated that analyzing synthetic data generated from real COVID-19 patients accurately replicates the results of the same analyses conducted on the real patient data.

Synthetic data mimics real patient data, accurately models COVID-19 pandemic - The Source

Research led by the School of Medicine has demonstrated that analyzing synthetic data generated from real COVID-19 patients accurately replicates the results of the same analyses conducted on the real patient data. The school has been a national leader in deploying and evaluating technology for the production of synthetic data, which is key for data-sharing collaborations.

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? Aleszu Bajak, USA TODAY © Illustration: Emily Nizzi, USA TODAY Network, and Getty Images An 80s-style computer browser window displays a file being transferred with the words Accessing medical files beneath it. Imagine a formula that could score each American’s unique risk of dying of COVID-19. People’s odds would determine their exact number in line for a vaccine. The algorithm would take into account your age, your race, your full medical history and every one of your health insurance claims. It would marry that information with data about vaccine inventories and health care locations. You’d get an email, a text, or a phone call the week before your vaccine appointment telling you where and when to show up. If you turned down the shot, the next in line would take your spot.

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