Digital Twin– tag –
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Äio and TFTAK Secure €1.94M for ‘DigiFoundry 2.0’ Project to Accelerate Waste-Derived Microbial Fat Production via AI-Driven Digital Platform
European Biotechnology Estonia Overview Äio and TFTAK have received €1.94 million in funding for their 'DigiFoundry 2.0' project, an AI-driven digital platform aimed at accelerating waste-derived microbial fat production. This three-year... -
AI/ML and Digital Twins Spearhead Bioprocess Digitalization for Microbial Lipid Production and Downstream Design
ApplyKite Europe Overview The Norwegian University of Life Sciences (NMBU) and University College Dublin (UCD) have launched PhD scholarship programs focused on AI/ML frameworks for bioprocess digitalization. NMBU's "fermentAtIon" projec... -
Six Modeling Approaches, Including Digital Twins, Unlock Complex Bioprocess Data for Optimized Manufacturing
BioProcess Online USA Overview Six key modeling approaches, with a strong emphasis on digital twins, are presented for effectively leveraging complex bioprocess data. Digital twins provide a comprehensive virtual representation of physic... -
Digital Twins Revolutionize Bioprocessing: Predictive Models Boost Efficiency in Upstream, Downstream, and Fill-Finish Operations
BioProcess International USA Overview Equipment-level digital twin models are now practical in bioprocessing, enabling enhanced prediction and optimization across upstream, downstream, and fill-finish stages. These models integrate real-... -
Food Navigator Predicts Future of Gut Health: Multi-Analyte Biosensors and AI to Generate Real-Time Personalized Nutrition Recommendations
Food Navigator Ireland Overview Food Navigator forecasts that the future of gut health will be driven by the convergence of multi-analyte biosensors and AI, enabling real-time, highly personalized nutrition and health recommendations. Th... -
AI and Machine Learning Enhance Bioenergy Production from Anaerobic Digestion Through Advanced Data Processing, Predictive Models, and Intelligent Control
MDPI Switzerland Overview This review summarizes advances in machine learning (ML) and AI-based approaches for predicting, optimizing, and intelligently controlling bioenergy generation in anaerobic digestion (AD) processes. The emphasis... -
Big Data and AI/Machine Learning Revolutionize Biopharmaceutical Manufacturing, Enabling High-Speed, Efficiency, and Quality through Interoperable Data Management
Frontiers Switzerland Overview This research topic delves into how big data-driven approaches, including interoperable data management solutions, modeling, simulation, and digital twins, are transforming biopharmaceutical process enginee... -
Big Data and Predictive Analytics Revolutionize Bioreactor Performance, Enhancing Robustness, Efficiency, and Decision-Making
Facebook (Infors HT) Switzerland Overview The application of big data and predictive analytics to bioreactors is highlighted as maximizing potential by enhancing process robustness, efficiency, and decision-making. Utilizing real-time da... -
Equipment-Level Digital Twins Deliver Real-Time Predictive Control and Anomaly Detection for Bioprocess Operations
BioProcess International USA Overview Equipment-level bioprocess digital twins, integrated with stirred-tank and perfusion bioreactors, now generate real-time predictive endpoints, deviation alerts, and recommended operating windows. Thi... -
Drug Discovery News Highlights Rising Complexity in Biologics Manufacturing: Urges Manufacturability by Design, Raw Material Quality, and Process Intensification
Drug Discovery News USA Overview Drug Discovery News reports on the increasing complexity in manufacturing biologics, cell-based therapies (including CAR T), viral vectors, and oligonucleotides. The article identifies key challenges such...
