Department: Not specified
ROR ID: 04fybn584
Web page: http://www.unicauca.edu.co/portaleningles/
Country:
Colombia
City: Popayán
Address: Not specified
Related items
Real-time online monitoring of bioprocesses
Industrial biotechnology (IB) has the potential to create new markets while protecting the environment. With this in mind, the EU-funded BIOINDUSTRY 4.0 project will pave the way for IB to become a major manufacturing technology. Supporting the digitalisation of IB, the project will create new services delivered by European research infrastructure. These will address several challenges, focusing on the acceleration of bioprocess development pipelines. ...
Projects: Industrial-scale penicillin simulation, Scorpion antivenom nanobody production in Escherichia coli (Recombinant bispecific VHH), Production of the monoclonal antibody Trastuzumab in Komagataella phaffii (Pichia pastoris) for breast cancer treatment, Bioindustry4.0 Work Package 7: Tools for high-quality datasets, requisite for data-driven methods and services, Hybrid Physics-Informed Neural Networks for Efficient Computational Modeling: A Workflow Framework Applied to Schwanniomyces occidentalis, Saccharomyces cerevisiae, Pseudomonas putida use case, STAMM: Soft sensor moniToring and mAintenance framework for Machine learning Models, Pichia pastoris fermentation, Bioindustry4.0, Bioindustry4.0 Work Package 2: Dissemination, Communication Exploitation and capacity building, Data Fabric Usage Demos
Web page: https://www.bioindustry4.eu
Artificial intelligence (AI) and machine learning (ML) models as well as Digital shadows and Digital twins as well as Digital shadows and Digital twins have been, and are being, developed for a variety of applications, including industrial process supervision, bioprocess optimization, energy management, and environmental monitoring. In cases where models have the aim to classify, predict, or forecast a variable of interest then these models must become deployable in real-time so that their ...
Programme: Bioindustry 4.0
Public web page: https://stamm.inrae.fr
Organisms: Penicillium chrysogenum
https://orcid.org/0009-0009-1867-7304