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Human Vaccines & Immunotherapeutics Volume 19, 2023 - Issue 1
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Clinical / Regulatory

Foundations for improved vaccine correlate of risk analysis using positive-unlabeled learning

Natasha S. Kelkara Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USAView further author information
,
Kyle S. Morrisona Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USAView further author information
&
Margaret E. Ackermana Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA;b Thayer School of Engineering, Dartmouth College, Hanover, NH, USACorrespondence[email protected]
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Article: 2204020 | Received 05 Jan 2023, Accepted 11 Apr 2023, Published online: 03 May 2023

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Read on this site (1)

Elke Bergmann-Leitner. (2024) Editorial to special issue “The power of immunoprofiling supported by computational data integration and machine learning”. Human Vaccines & Immunotherapeutics 20:1.
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Articles from other publishers (1)

Shiwei Xu, Natasha S. Kelkar & Margaret E. Ackerman. (2024) Positive-unlabeled learning to infer protection status and identify correlates in vaccine efficacy field trials. iScience 27:3, pages 109086.
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