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AI in Life Sciences

Artificial intelligence (AI) and machine learning (ML) are no longer futuristic concepts; they are now part of how we live and work. The U.S. Food and Drug Administration uses the term AI to describe a branch of computer science, statistics, and engineering that uses algorithms or models to perform tasks and exhibit behaviors such as […]

Data Integrity in Life Sciences

Regulators have high expectations regarding Data Integrity (DI) in the life sciences sector. Good data practices must be applied to processes embedded in computerised systems and automated systems, but also to data storage in the cloud and to paper-based processes. Any regulated life sciences company needs to make strategic decisions about the management of its […]