Work

Supervised and unsupervised machine learning approaches for monitoring subvisible particles within an aluminum‐salt adjuvanted vaccine formulation

Year: 2024

Type: article

Source: Biotechnology and Bioengineering

DOI: 10.1002/bit.28671

Authors: David N. Greenblott, Caitlin V. Wood, Jingtao Zhang, Nelia Viza, Ramesh Chintala, Christopher P. Calderon, Theodore W. Randolph

Institutions: University of Colorado Boulder, Merck & Co., Inc., Rahway, NJ, USA (United States)

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: University of Colorado Boulder, Merck Sharp and Dohme, National Institute for Innovation in Manufacturing Biopharmaceuticals

OpenAlex ID: W4391932918

FWCI: 1.227

Cites: 45

Cited by: 6

Related to: 10