Raman spectroscopy is increasingly being used in biology, forensics, diagnostics,
pharmaceutics and food science applications. This growth is triggered not only by …

Biopharmaceuticals have revolutionized the field of medicine in the types of active
ingredient molecules and treatable indications. Adoption of Quality by Design and Process …

In recent years, there have been studies focusing on the use of different types of
autoencoders (AEs) for monitoring complex nonlinear data coming from industrial and …

The production of active pharmaceutical ingredients (APIs) is currently undergoing its
biggest transformation in a century. The changes are based on the rapid and dramatic …

Among the greatest challenges in soft sensor development for bioprocesses are variable
process lengths, multiple process phases, and erroneous model inputs due to sensor faults …

While machine learning (ML) has made significant contributions to the biopharmaceutical
field, its applications are still in the early stages in terms of providing direct support for quality …

Biological systems are typically composed of highly interconnected subunits and possess an
inherent complexity that make monitoring, control and optimization of a bioprocess a …

In-situ Raman spectroscopy emerged as an innovative tool and robust technique to monitor
and control the mammalian cell culture process in real-time. Here, the state-of-the-art …

Dielectric spectroscopy (biocapacitance) is an up‐and‐coming technology for real time
monitoring of biomass in cell culture processes and has opened the door for next …

Multivariate latent variable methods have become a popular and versatile toolset to analyze
bioprocess data in industry and academia. This work spans such applications from the …