Hybrid metabolic flux analysis/data-driven modelling of bioprocesses

Teixeira, Augusto; Alves, Carlos Filipe Pereira; Alves, Paula M.; Carrondo, Manuel J.T.; Oliveira, Rui

doi:10.1016/s1570-7946(06)80287-7

Cited by 2 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the past few years, hybrid modeling has become increasingly popular in the bioprocessing domain leading to be considered a main new direction . Hybrid modeling, in the context of therapeutic protein manufacturing models, demonstrated its enabling potential in applications such as monitoring and forecasting, , control, , optimization, , and also in downstream processing …”

Section: The Multitalent: Hybrid Modelingmentioning

confidence: 99%

Decision Making and Risk Management in Biopharmaceutical Engineering—Opportunities in the Age of Covid-19 and Digitalization

Sokolov

2020

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

In 2020, the Covid-19 pandemic resulted in a worldwide challenge without an evident solution. Many persons and authorities involved befriended the value of available data and established expertise to make decisions under time pressure. This omnipresent example is used to illustrate the decision-making procedure in biopharmaceutical manufacturing. This commentary addresses important challenges and opportunities to support risk management in biomanufacturing through a process-centered digitalization approach combining two vital worlds—formalized engineering fundamentals and data empowerment through customized machine learning. With many enabling technologies already available and first success stories reported, it will depend on the interaction of different groups of stakeholders how and when the huge potential of the discussed technologies will be broadly and systematically realized.

show abstract