Our Food, Drug & Device/FDA Group breaks down the new Food and Drug Administration guidance on data integrity for current good manufacturing practices (CGMPs) and what it means for the drug industry.

Data that’s captured isn’t always stored, and storage alone doesn’t get the job done. Many transportation agencies are sitting on troves of data they’re not sure how to interpret. Even when vendors ...

The pharmaceutical industry’s approach to data integrity has been historically manual, leveraging physical documentation and potentially unreliable paper-based ...

Kaoru Sakabe was academic publishing’s version of an in-house detective. In 2017, she and editors at the Journal of Biological Chemistry (JBC) conducted a pilot study looking for image manipulation in ...

Artificial intelligence is no longer an emerging technology—it is an embedded reality shaping the way we live, govern and do business. From predictive healthcare to autonomous defense systems, AI is ...

Many cybercriminals are rich. They might drive expensive cars and live in mansions, making millions annually. Some are funded by governments that use ransomware for cyber warfare, but most cyber ...

Dublin, Nov. 05, 2025 (GLOBE NEWSWIRE) -- The "Data Process Mapping Tools and Strategies in Data Integrity Governance (Sept 5, 2025)" training has been added to ResearchAndMarkets.com's offering. This ...

In this interview, AZoM talks to Simon Taylor from Mettler Toledo’s Titration product group about data integrity in titration and why it is important to do so for laboratories, production lines or ...

Applied Therapeutics, a clinical-stage biopharmaceutical company, is under heightened scrutiny following the issuance of a November 2024 Warning Letter 1 from the US Food and Drug Administration (FDA) ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.