A Statistical Immune Correlates of Protection Model for Predicting Efficacy from Neutralizing Antibody Titers to Establish Immunobridging of Monoclonal Antibodies for Prevention of COVID-19

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Publication Details

Journal
Infectious Diseases and Therapy
Published
2026-02-16
DOI
https://doi.org/10.1007/s40121-026-01315-6
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00
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article

A Statistical Immune Correlates of Protection Model for Predicting Efficacy from Neutralizing Antibody Titers to Establish Immunobridging of Monoclonal Antibodies for Prevention of COVID-19

Ilker Yalcin, Kristin Narayan, Brandyn R. West, Anna Holmes et al.
Infectious Diseases and Therapy
vaccines and immunoinformatics approaches
article

A Statistical Immune Correlates of Protection Model for Predicting Efficacy from Neutralizing Antibody Titers to Establish Immunobridging of Monoclonal Antibodies for Prevention of COVID-19

Ilker Yalcin, Kristin Narayan, Brandyn R. West, Anna Holmes, Mark A. Wingertzahn, Leijun Hu
article en

Abstract

No abstract available for this paper.
Infectious Diseases and Therapy
United Church of Christ (US), Carmel Research Center (US), inVentiv Health Clinical (CA)
Openalex Percentile: Top 54%
vaccines and immunoinformatics approaches
DOIOpen Access PDFOpenAlex
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