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CAPYBARA: A Generalizable Framework for Predicting Serological Measurements Across Human Cohorts

2025-07-08 infectious diseases Title + abstract only
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The rapid growth of biological datasets presents an opportunity to leverage past studies to inform and predict outcomes in new experiments. A central challenge is to distinguish which serological patterns are universally conserved and which are specific to individual datasets. In the context of human serology studies, where antibody-virus interactions assess the strength and breadth of the antibody response and inform vaccine design, differences in cohort demographics or experimental design can ...

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