Page 2 - Gaudenz Danuser News Today

DALLAS - Feb. 8, 2021 - World health experts have long suspected that the incidence of COVID-19 has been higher than reported. Now, a machine-learning algorithm developed at UT Southwestern estimates that the number of COVID-19 cases in the U.S. since the pandemic began is nearly three times that of confirmed cases.

A new machine-learning framework uses reported test results and death rates to calculate estimates of the actual number of current COVID-19 infections within all 50 U.S. states and 50 countries. Jungsik Noh and Gaudenz Danuser of the University of Texas Southwestern Medical Center present these findings in the open-access journal

 E-Mail The Damon Runyon Cancer Research Foundation, a non-profit organization focused on supporting brilliant, early career researchers, named 15 new Damon Runyon Fellows. The recipients of this prestigious, four-year award are outstanding postdoctoral scientists conducting basic and translational cancer research in the laboratories of leading senior investigators across the country. The Fellowship encourages the nations most promising young scientists to pursue careers in cancer research by...