Review: application and opportunities for machine learning and artificial intelligence in preclinical immunogenicity risk assessment.
Saved in:
| Title: | Review: application and opportunities for machine learning and artificial intelligence in preclinical immunogenicity risk assessment. |
|---|---|
| Authors: | Hickling TP; Roche Pharma Research and Early Development, Roche Products Ltd., Welwyn Garden City, United Kingdom.; Quasor Ltd, Loughborough, United Kingdom., Nielsen M; Section for Bioinformatics, Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Meysman P; Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium., Rose RH; Certara Predictive Technologies, Applied BioSimulation, Sheffield, United Kingdom., Obrezanova O; Biologics Engineering, Oncology R&D, AstraZeneca, Cambridge, United Kingdom. |
| Source: | Frontiers in immunology [Front Immunol] 2026 May 28; Vol. 17, pp. 1720928. Date of Electronic Publication: 2026 May 28 (Print Publication: 2026). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!
