Author Correction: Machine Learning Models Predict Long COVID Outcomes Based on Baseline Clinical and Immunologic Factors

Authors

• Naresh Doni Jayavelu
• Hady Samaha
• Sonia Tandon Wimalasena
• Annmarie Hoch
• Jeremy P Gygi
• Gisela Gabernet
• Al Ozonoff
• Shanshan Liu
• Carly E Milliren
• Ofer Levy
• Lindsey R Baden
• Esther Melamed
• Lauren I R Ehrlich
• Grace A McComsey
• Rafick P Sekaly
• Charles B Cairns
• Elias K Haddad
• Joanna Schaenman
• Albert C Shaw
• David A Hafler
• Ruth R Montgomery
• David B Corry
• Farrah Kheradmand
• Mark A Atkinson
• Scott C Brakenridge
• Nelson I Agudelo Higuit
• Jordan P Metcalf
• Catherine L Hough
• William B Messer
• Bali Pulendran
• Kari C Nadeau
• Mark M Davis
• Linda N Geng
• Ana Fernandez Sesma
• Viviana Simon
• Florian Krammer
• Monica Kraft
• Chris Bime
• Carolyn S Calfee
• David J Erle
• Charles R Langelier
• IMPACC Network
• Leying Guan
• Holden T Maecker
• Bjoern Peters
• Steven H Kleinstein
• Elaine F Reed
• Alison D Augustine
• Joann Diray-Arce
• Patrice M Becker
• Nadine Rouphael
• Matthew C Altman

Language

English

Publication Date

2-23-2026

Journal

Communications Medicine

DOI

10.1038/s43856-026-01425-9

PMID

41730996

PMCID

PMC12929789

PubMedCentral® Posted Date

2-23-2026

PubMedCentral® Full Text Version

Post-print

Abstract

This corrects the article "Machine learning models predict long COVID outcomes based on baseline clinical and immunologic factors", 1.

Published Open-Access

yes

Recommended Citation

Doni Jayavelu, Naresh; Samaha, Hady; Wimalasena, Sonia Tandon; et al., "Author Correction: Machine Learning Models Predict Long COVID Outcomes Based on Baseline Clinical and Immunologic Factors" (2026). Faculty, Staff and Students Publications. 7451.
https://digitalcommons.library.tmc.edu/baylor_docs/7451