These models can be used either offline to provide the optimal process cycle, or online to provide optimal, real-time process control [3]. This is the target of the iREMO project (www.iremo.eu), an EC ...

Reaching Bioprocessing 4.0 depends on advanced methods of monitoring and control. For an update on these methods, GEN has organized this roundtable discussion. It presents the insights of four experts ...

Batch processing and testing is a mainstay of the biopharmaceutical industry today. But, as operations become increasingly automated and continuous and integrated manufacturing is adapted more widely, ...

This article outlines improvements and changes to non‐viable particle monitoring (NVP), sometimes referred to as total particulate monitoring, which during aseptic processing, is a regulatory ...

There's a fundamental shift in what's possible on the factory floor and it's being transformed by embedded AI, agentic ...

Traditionally, vaccine manufacture has accounted for a huge amount of aseptic production. In recent years, there has been a larger focus on novel biologic therapies, of which the majority are ...

When it comes to process-control systems, reliability is crucial and failure can be costly or dangerous. A combination of good design practices, component selection, and testing can enhance ...

Translating regenerative medicine from lab research to large-scale clinical and commercial production requires robust, scalable, and tightly controlled ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.