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This study presents a machine learning approach to differentiate between SARS-CoV-2 infections and immune responses in recipients of the BBV152 (Covaxin) vaccine. By analyzing antibody levels and demographic data from 1823 participants, the model identified a significant number of asymptomatic infections that traditional testing methods might miss. The findings highlight the potential of using machine learning for more accurate assessments of vaccine effectiveness in populations receiving whole virion vacci

Author

princemeansking

Language

EN