Accelerating high-concentration monoclonal antibody development with large-scale viscosity data and ensemble deep learning

Highly concentrated antibody solutions are necessary for developing subcutaneous injections but often exhibit high viscosities, posing challenges in antibody-drug development, manufacturing, and administration. Previous computational models were only limited to a few dozen data points for training,...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Lateefat A. Kalejaye, Jia-Min Chu, I-En Wu, Bismark Amofah, Amber Lee, Mark Hutchinson, Chacko Chakiath, Andrew Dippel, Gilad Kaplan, Melissa Damschroder, Valentin Stanev, Maryam Pouryahya, Mehdi Boroumand, Jenna Caldwell, Alison Hinton, Madison Kreitz, Mitali Shah, Austin Gallegos, Neil Mody, Pin-Kuang Lai
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Taylor & Francis Group 2025-12-01
Sarja:	mAbs
Aiheet:	Antibody viscosity ensemble deep learning high-concentration formulations monoclonal antibodies
Linkit:	https://www.tandfonline.com/doi/10.1080/19420862.2025.2483944
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