Raman spectroscopy enables real-time bioreactor monitoring of glucose and lactate without breaching the sterile boundary.

Process analytical technology enables data-driven scale-up by embedding real-time analytics from development through ...

Abstract: Recently, data-driven fault diagnosis techniques, especially multivariate statistical process monitoring methods, have been extensively investigated and widely applied to industries. Whether ...

Abstract: Multivariate time-series (MTS) forecasting plays an important role in industrial process monitoring, control, and optimization. Usually, hierarchical interactive behaviors among industrial ...

Process Monitoring and Controls QA/QC The Evolution of Microbiology Testing Within a Contamination-Control Strategy Quality control (QC) microbiology has evolved from its traditional role of reactive ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

The Founder and Principal Researcher at Gazillion Labs is combining bounded stochastic price modeling, market microstructure, ...

Multivariate analyses (PCA and Heat Map) indicate that the cultivars are clustered based on yield and quality. Osmaniye 2005 and Sultan cultivars were identified as the most ideal parental candidates ...

Rigorous, integrated monitoring evaluation and learning (MEL) systems can support quality and scalable interventions to improve health and development. Early Child Development (ECD) provides an ...

4 Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa Introduction Fructosamine is a marker of glucose control reflecting the average glycaemic level ...

"Newton Agents change how AI is deployed in the physical world," said Ivan Poupyrev, Co-founder and CEO of Archetype AI. "The era of bespoke, one-off AI models is ending. With Newton Agents, ...

Explore the 2026 conversion strategy roadmap and discover data-driven approaches to optimize customer journeys, improve ...