Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysis.

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Title: Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysis.
Authors: Wang Y; Dosage Form Design and Development, BioPharmaceuticals Development, R&D, AstraZeneca, Gaithersburg, MD, USA., Hanford A; Dosage Form Design and Development, BioPharmaceuticals Development, R&D, AstraZeneca, Gaithersburg, MD, USA., Boroumand M; Data Science and Modeling, BioPharmaceuticals Development, R&D, AstraZeneca, Gaithersburg, MD, USA., Kalonia C; Dosage Form Design and Development, BioPharmaceuticals Development, R&D, AstraZeneca, Gaithersburg, MD, USA., Leissa J; Dosage Form Design and Development, BioPharmaceuticals Development, R&D, AstraZeneca, Gaithersburg, MD, USA., Shah M; Dosage Form Design and Development, BioPharmaceuticals Development, R&D, AstraZeneca, Gaithersburg, MD, USA., Pham T; Biologics Engineering, Oncology R&D, AstraZeneca, Gaithersburg, MD, USA., Randolph T; Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, USA., Prajapati I; Dosage Form Design and Development, BioPharmaceuticals Development, R&D, AstraZeneca, Gaithersburg, MD, USA.
Source: MAbs [MAbs] 2025 Dec; Vol. 17 (1), pp. 2501629. Date of Electronic Publication: 2025 May 11.
Publication Type: Journal Article
Journal Info: Publisher: Taylor & Francis Country of Publication: United States NLM ID: 101479829 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1942-0870 (Electronic) Linking ISSN: 19420862 NLM ISO Abbreviation: MAbs Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1942-0870
DOI:10.1080/19420862.2025.2501629