Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks.

Schmitt J, Razvi A, Grapentin C.

Open source

DOI: 10.1080/19420862.2023.2169440
Published: 2023-01-01
Container: MAbs
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1080/19420862.2023.2169440,
  title = {Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks.},
  author = {Schmitt J and  Razvi A and  Grapentin C.},
  year = {2023},
  journal = {MAbs},
  doi = {10.1080/19420862.2023.2169440},
  url = {https://doi.org/10.1080/19420862.2023.2169440}
}

RIS

TY  - JOUR
TI  - Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks.
AU  - Schmitt J
AU  -  Razvi A
AU  -  Grapentin C.
PY  - 2023
JO  - MAbs
DO  - 10.1080/19420862.2023.2169440
UR  - https://doi.org/10.1080/19420862.2023.2169440
ER  -

APA

J, S., A, R., & C., G. (2023). Predictive modeling of concentration-dependent viscosity behavior of monoclonal antibody solutions using artificial neural networks.. MAbs. https://doi.org/10.1080/19420862.2023.2169440

Source records

europe-pmc · retrieved 2026-09-27T12:26:38.629Z
doaj · retrieved 2026-09-27T12:26:38.606Z