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Mehdi Boroumand

Showing results (1-10 of 4) with videos related to

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Journal of Pharmaceutical Sciences|October 10, 2024
Particle formation in response to different protein formulations and containers: Insights from machine learning analysis of particle imagesGabriella Milef, Saba Ghazvini, Indira Prajapati, et al.
Mabs|May 12, 2025
Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysisYibo Wang, Alexis Hanford, Mehdi Boroumand, et al.
Mabs|September 26, 2025
Accelerating antibody development: sequence and structure-based models for predicting developability properties via size exclusion chromatographyA N M Nafiz Abeer, Mehdi Boroumand, Isabelle Sermadiras, et al.
Mabs|April 1, 2025
Accelerating high-concentration monoclonal antibody development with large-scale viscosity data and ensemble deep learningLateefat A Kalejaye, Jia-Min Chu, I-En Wu, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Journal of Pharmaceutical Sciences|October 10, 2024
Particle formation in response to different protein formulations and containers: Insights from machine learning analysis of particle imagesGabriella Milef, Saba Ghazvini, Indira Prajapati, et al.
Mabs|May 12, 2025
Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysisYibo Wang, Alexis Hanford, Mehdi Boroumand, et al.
Mabs|September 26, 2025
Accelerating antibody development: sequence and structure-based models for predicting developability properties via size exclusion chromatographyA N M Nafiz Abeer, Mehdi Boroumand, Isabelle Sermadiras, et al.
Mabs|April 1, 2025
Accelerating high-concentration monoclonal antibody development with large-scale viscosity data and ensemble deep learningLateefat A Kalejaye, Jia-Min Chu, I-En Wu, et al.
Pageof 1