
News|Articles|March 15, 2020
- Pharmaceutical Technology-03-15-2020
- Volume 2020 eBook
- Issue 1
ALCOA+ and Data Integrity
Author(s)Susan J. Schniepp
Data supporting the quality and safety of product must meet the ALCOA+ elements in order to avoid regulatory citations for data integrity issues.
Advertisement
Data supporting the quality and safety of product must meet the ALCOA+ elements in order to avoid regulatory citations for data integrity issues.
Article Details
Pharmaceutical Technology
eBook: Regulatory Sourcebook, March 2020
March 2020
Pages: 10–13
Citation
When referring to this article, please cite it as S. J. Schniepp, “ALCOA+ and Data Integrity," Pharmaceutical Technology Regulatory Sourcebook eBook (March 2020).
Articles in this issue
over 6 years ago
Resources, Guidelines, and Guidance Documentsover 6 years ago
Regulatory and Standard Setting Organizationsover 6 years ago
A ‘New Normal’ for Quality?over 6 years ago
Monograph Development: Why and When to Participate (eBook)over 6 years ago
A Practical Approach to Pharmacopoeia Compliance (eBook)over 6 years ago
Inside FDA’s New Gene and Cell Therapy GuidancesAdvertisement
Related to this article

The FDA has shelved its National Priority Voucher pilot, leaving sponsors that built CMC and launch-readiness plans around 1- to 2-month reviews facing uncertain timelines.

The FDA approves asundexian, the first factor XIa inhibitor, cutting stroke risk 26% and setting a regulatory benchmark for factor XI drug developers.

No operator touches a CAR-T batch before demonstrating proficiency. Generative AI users should meet the same standard, and a higher one, because an AI error does not stay inside one batch.

The FDA grants accelerated approval to subcutaneous amivantamab for head and neck cancer, extending the IV-to-subcutaneous shift in biologics formulation.

This week addressed AI accountability, CPHI award winners, NFC anticounterfeiting, first-in-class FDA approvals, and a shelved FDA voucher pilot lead this week’s roundup.

Cole and Jaenisch explain why defending against AI poisoning in pharma manufacturing calls for a data steward role, immutable instruction ledgers, and automation.

Regulators will test pharma companies against their own internal AI policies. Jaenisch, Muraru, and Pandey explain how to build defensible, inspection-ready AI practices.
Advertisement
Advertisement
Trending on Pharmaceutical Technology
1
CPHI Pharma Award Winner: Drug Delivery, Devices, & Packaging
2
PharmTech AI Pulse Check: Who's Accountable When a Vendor's AI Model Changes?
3
France Remains One of Europe’s Leading Biotech Funding Hubs
4
Signs Point to FDA Shelving Priority Voucher Pilot, Stalling Fast-Track Drug Reviews
5


