Deep Transformers for Computing and Predicting ALCOA+Data Integrity Compliance in the Pharmaceutical Industry

Deep Transformers for Computing and Predicting ALCOA+Data Integrity Compliance in the Pharmaceutical Industry

Strict adherence to data integrity and quality standards is crucial for the pharmaceutical industry to minimize undesired effects and ensure that medicines are of the required quality and safe for patients. A common data quality standard in the pharmaceutical industry is ALCOA+, which is a set of gu...

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Bibliographic Details
Main Authors: Isaak Kavasidis, Efthimios Lallas, Helen C. Leligkou, Georgios Oikonomidis, Dimitrios Karydas, Vassilis C. Gerogiannis, Anthony Karageorgos
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
ALCOA+ principles
data integrity
transformer-based models
pharmaceuticals manufacturing
Online Access:https://www.mdpi.com/2076-3417/13/13/7616

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https://www.mdpi.com/2076-3417/13/13/7616

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