Automated Regulatory Compliance Verification via Multi-modal Data Fusion and HyperScore Analytics for Pharmaceutical Manufacturing Process Validation
**Originality:** Existing pharmaceutical manufacturing process validation relies heavily on manual review of disparate data sources (batch records, lab reports, process logs). This work introduces an automated system leveraging multi-modal data fusion and a novel HyperScore metric to objectively assess compliance and predict potential deviations, accelerating the validation process and minimizing human error, achieving a potential 50% reduction in validation time.
Institutions
- Freed–Hardeman University (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-22
- DOI
- https://doi.org/10.5281/zenodo.16925344
- Primary Topic
- Prenatal Screening and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00