Researchers in the Lyda Hill Department of Bioinformatics have estimated that the amount of COVID-19 cases is nearly triple those confirmed in the U.S.

While it has long been speculated that the number of COVID-19 cases is significantly higher than those reported, a new machine learning algorithm created by UT Southwestern Medical Center researchers from the Lyda Hill Department of Bioinformatics confirms this theory.

According to the algorithm, over 71 million people in the U.S. have contracted the virus. This number is almost three times as much as the 26.7 million publicly-reported number of confirmed cases, according to Jungsik Noh, Ph.D., a UT Southwestern assistant professor in the Lyda Hill Department of Bioinformatics… Continue reading.