Predicting a Positive Antibody Response After 2 SARS-CoV-2 mRNA Vaccines in Transplant Recipients: A Machine Learning Approach With External Validation
Jennifer L. Alejo(Johns Hopkins University), Sunjae Bae(New York University), Linda W. Moore(Methodist Hospital), Laura B. Zeiser(Johns Hopkins University), Howard J. Huang(Houston Methodist), Aura T. Abedon(Johns Hopkins University), Teresa Po‐Yu Chiang(Johns Hopkins University), Allan B. Massie(Johns Hopkins University), Dorry L. Segev(New York University), Ashrith Guha(Houston Methodist), Jonathan Mitchell(Johns Hopkins University), William A. Werbel(Johns Hopkins University), Daniel Warren(Johns Hopkins University), Jacqueline Garonzik‐Wang(University of Wisconsin–Madison), Aaron A.R. Tobian(Johns Hopkins University), Macey L. Levan(New York University), Richard J. Knight(Methodist Hospital), Brian J. Boyarsky(Johns Hopkins University), Amy Chang(Johns Hopkins University), A. Osama Gaber(Methodist Hospital), Rafik M. Ghobrial, Robin K. Avery(Johns Hopkins University)
Cited by 17
Related Papers
Foot strike patterns and collision forces in habitually barefoot versus shod runners
|Nature|2010|1.4k
Clinical Practice Guidelines From the AABB
|JAMA|2016|1.1k
The Banff 2017 Kidney Meeting Report: Revised diagnostic criteria for chronic active T cell–mediated rejection, antibody-mediated rejection, and prospects for integrative endpoints for next-generation clinical trials
|American Journal of Transplantation|2017|1k
Antibody Response to 2-Dose SARS-CoV-2 mRNA Vaccine Series in Solid Organ Transplant Recipients
|JAMA|2021|1k
Deployment of convalescent plasma for the prevention and treatment of COVID-19
|Journal of Clinical Investigation|2020|863