Process systems engineering–the generation next?
Abstract Process Systems Engineering (PSE) is the scientific discipline of integrating scales
and components describing the behavior of a physicochemical system, via mathematical …
and components describing the behavior of a physicochemical system, via mathematical …
Machine learning for biologics: opportunities for protein engineering, developability, and formulation
Successful biologics must satisfy multiple properties including activity and particular
physicochemical features that are globally defined as developability. These multiple …
physicochemical features that are globally defined as developability. These multiple …
[HTML][HTML] Moving towards an era of hybrid modelling: advantages and challenges of coupling mechanistic and data-driven models for upstream pharmaceutical …
A Tsopanoglou, IJ del Val - Current Opinion in Chemical Engineering, 2021 - Elsevier
Highlights•Mathematical models as tools to establish quantitative links between bioprocess
CPPs and KPIs.•Review of the advantages and limitations of mechanistic and statistical …
CPPs and KPIs.•Review of the advantages and limitations of mechanistic and statistical …
Emerging challenges and opportunities in pharmaceutical manufacturing and distribution
The rise of personalised and highly complex drug product profiles necessitates significant
advancements in pharmaceutical manufacturing and distribution. Efforts to develop more …
advancements in pharmaceutical manufacturing and distribution. Efforts to develop more …
Hybrid modeling—a key enabler towards realizing digital twins in biopharma?
Digital twins (DTs) represent a vividly emerging technology in the manufacturing industry
strongly motivated by the goals of industry 4.0. It strives for smart factories with completely …
strongly motivated by the goals of industry 4.0. It strives for smart factories with completely …
Digital twins in manufacturing: systematic literature review for physical–digital layer categorization and future research directions
M Atalay, U Murat, B Oksuz, AM Parlaktuna… - … Journal of Computer …, 2022 - Taylor & Francis
Modern technologies and recently developed digital solutions make their way into all
aspects of lives of individuals and businesses, and manufacturing industry is no exception …
aspects of lives of individuals and businesses, and manufacturing industry is no exception …
[HTML][HTML] Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities
TT Khuat, R Bassett, E Otte, A Grevis-James… - Computers & Chemical …, 2024 - Elsevier
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 …
field, its applications are still in the early stages in terms of providing direct support for quality …
Integrated design of biopharmaceutical manufacturing processes: Operation modes and process configurations for monoclonal antibody production
Monoclonal antibodies are leading the growing biopharmaceutical markets. To sustain the
increasing demand, manufacturing processes should be optimized to increase efficiency …
increasing demand, manufacturing processes should be optimized to increase efficiency …
Purification of modified therapeutic proteins available on the market: An analysis of chromatography-based strategies
C Sánchez-Trasviña, M Flores-Gatica… - … in Bioengineering and …, 2021 - frontiersin.org
Proteins, which have inherent biorecognition properties, have long been used as
therapeutic agents for the treatment of a wide variety of clinical indications. Protein …
therapeutic agents for the treatment of a wide variety of clinical indications. Protein …
[HTML][HTML] Industrial internet of things: What does it mean for the bioprocess industries?
L Borgosz, D Dikicioglu - Biochemical Engineering Journal, 2024 - Elsevier
Abstract Industrial Internet of Things (IIoT) is a system of interconnected devices that, via the
use of various technologies, such as soft sensors, cloud computing, data analytics, machine …
use of various technologies, such as soft sensors, cloud computing, data analytics, machine …