Despite the widespread attention given to Digital Transformation (DT), there is a notable lack
of comprehensive knowledge concerning its implications within the Pharmaceutical Industry …

Biotherapeutic products, particularly complex products such as monoclonal antibodies
(mAbs), have as many as 20–30 critical quality attributes (CQAs), thereby requiring a …

Background Oral extended release (ER) delivery systems have quickly gained increasing
importance because of their ability to maintain drug levels in the blood more consistently …

Membrane adsorbers (MA) are emerging as alternative unit operations in high-value protein
separation due to their many benefits, including short residence times, low pressure drop …

Abstract Machine learning (ML) is becoming increasingly crucial in many fields of
engineering but has not yet played out its full potential in bioprocess engineering. While …

Advanced control strategies are well established in chemical, pharmaceutical, and food
processing industries. Over the past decade, the application of these strategies is being …

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 …

This work aimed to quantify growth and biochemical parameters (viable cell density, Xv; cell
viability, CV; glucose, lactate, glutamine, glutamate, ammonium, and potassium …

For many modern biopharmaceutical processes, manufacturers develop data-driven models
using data analytics/machine learning (DA/ML) methods. The challenge is how to select the …

The emergent realisation of Industry 4.0 principles across biomanufacturing, through recent
endeavours, will markedly enhance the development and manufacture of modern …