Highlights•Challenges the biopharmaceutical industry is facing at the moment.•Summary of
data science challenges due to biopharma particularities.•Review of today's data science …

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 …

A continuous integrated bioprocess available from the earliest stages of process
development allows for an easier, more efficient and faster development and …

An optimization study of an integrated periodic counter-current chromatography (PCC)
process in a monoclonal antibody (mAb) downstream process at lab scale, is presented in …

Process analytical technology combines understanding and control of the process with real‐
time monitoring of critical quality and performance attributes. The goal is to ensure the …

Integrated continuous downstream processes with process analytical technology offer a
promising opportunity to reduce production costs and increase process flexibility and …

The implementation of continuous processing in the biopharmaceutical industry is hindered
by the scarcity of process analytical technologies (PAT). To monitor and control a continuous …

Meeting the increasing demand for vaccines throughout the world is key to decrease the
spread of infectious diseases. The switch to a fully continuous vaccine manufacturing …

In this paper, we determined the optimal flow rate trajectory during the loading phase of a
mAb capture column. For this purpose, a multi-objective function was used, consisting of …

A two-step purification process for human basic fibroblast growth factor (FGF-2) from clarified
E. coli homogenate has been developed in which the impurity level after the second step is …