Bayesian hierarchical model predicts biopharmaceutical stability indicators and shelf life with application to multivalent human papillomavirus vaccine

Bayesian hierarchical model predicts biopharmaceutical stability indicators and shelf life with application to multivalent human papillomavirus vaccine

Abstract Predictive stability is demonstrated as a powerful method for assessing the shelf-life of biopharmaceutical products, such as therapeutic proteins and vaccines. A Bayesian hierarchical multi-level stability model is illustrated for the Human Papillomavirus (HPV) 9-valent recombinant sub-uni...

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Main Authors: Federico Ferrari, Jordan Berger, Linda Lemieux, Crina Paduraru, Michael Dillon, Andy Liaw, Ralf Carrillo, Sally Wong, Hossein Salami, Paolo Avalle, Edward Sherer, Douglas Richardson, Daniel Skomski
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-99458-y
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https://doi.org/10.1038/s41598-025-99458-y

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