also a corresponding author, professor of biomedical informatics at the School of Medicine and director of the Center for Artificial Intelligence in Drug Discovery[1]
RX
also a corresponding author, professor of biomedical informatics at the School of Medicine and director of the Center for Artificial Intelligence in Drug Discovery[1]
director of the Center for Artificial Intelligence in Drug Discovery[1]
professor of biomedical informatics[1]
Sources are listed once and connected to each accepted claim they support. Excerpts preserve the source language used in the review.
4 source claims · Reviewed Sep 9, 2026
Identity: Rong Xu
Rong Xu, also a corresponding author, professor of biomedical informatics at the School of Medicine and director of the Center for Artificial Intelligence in Drug Discovery, said further research is needed to examine if the increased risk of new onset T1D following SARS-CoV2 infection in pediatric patients will persist, who are vulnerable, and how to treat COVID-19 associated T1D in children.
Professional role: also a corresponding author, professor of biomedical informatics at the School of Medicine and director of the Center for Artificial Intelligence in Drug Discovery
also a corresponding author, professor of biomedical informatics at the School of Medicine and director of the Center for Artificial Intelligence in Drug Discovery
Professional role: director of the Center for Artificial Intelligence in Drug Discovery
Rong Xu, also a corresponding author, professor of biomedical informatics at the School of Medicine and director of the Center for Artificial Intelligence in Drug Discovery, said further research is needed to examine if the increased risk of new onset T1D following SARS-CoV2 infection in pediatric patients will persist, who are vulnerable, and how to treat COVID-19 associated T1D in children.
Professional role: professor of biomedical informatics
Rong Xu, also a corresponding author, professor of biomedical informatics at the School of Medicine and director of the Center for Artificial Intelligence in Drug Discovery, said further research is needed to examine if the increased risk of new onset T1D following SARS-CoV2 infection in pediatric patients will persist, who are vulnerable, and how to treat COVID-19 associated T1D in children.