Digital Twin– tag –
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Digital Biomanufacturing Market Projected to Reach $66.14 Billion by 2034, Driven by Automation and AI: Market Research Report
Fortune Business Insights Global Overview This article summarizes a Digital Biomanufacturing Market research report from Fortune Business Insights. The report projects the digital biomanufacturing market will reach $66.14 billion by 2034... -
Real-Time Monitoring Tools Advance Bioreactor Scale-Up, Integrating Digital Twins and PAT for Enhanced Efficiency
Cellbase Global Overview To efficiently scale up bioreactors, real-time monitoring tools—including electrochemical and optical sensors, PAT instruments like Raman and NIR spectroscopy, and capacitance probes for live cell density—are rap... -
Smart Composting Research Achieves Emission Reductions and Yield Boosts with AI and Digital Twins, Demonstrating Versatility for Bioprocess Optimization
CAS USA Overview New CAS research reports that a smart composting system, powered by AI and machine learning, has achieved reduced emissions and boosted yields. This system shifts composting from empirical operations to predictive and pr... -
ACS Publications Reviews Metabolomics-Guided Metabolite Production in Plant Tissue Culture: Integrating Omics and Synthetic Biology for Enhanced Yields
ACS Publications USA Overview A comprehensive review in ACS Publications focuses on metabolomics-guided metabolite production in plant tissue culture (PTC), aiming to enhance yields by integrating omics and synthetic biology. Key solutio... -
Pharma 4.0 Drives Digital Integration: LIMS, AI, and Digital Twins Revolutionize Pharmaceutical Manufacturing
Technology Networks UK Overview Pharma 4.0 is advancing digital integration, leveraging LIMS, AI algorithms, and digital twin technology to eliminate data silos and foster connected pharmaceutical manufacturing. Digital twins extend the ... -
Bioprocess Analytics Optimizes Biologics Manufacturing with Digital Twins and AI for Predictive Quality Control
World Pharma Today USA Overview This article highlights the strategic application of bioprocess analytics and advanced algorithms to optimize biologics manufacturing. By leveraging real-time data and sophisticated machine learning models... -
German Federal Ministry of Education and Research Funds ASCEND Project with €30M to Accelerate AI-Driven Catalyst Development via Autonomous Labs
e-conversion Germany Overview The German Federal Ministry of Education and Research (BMFTR) launched the 'ASCEND' project, investing €30 million across six research and industry partners, including Helmholtz-Zentrum Berlin and BASF, to a... -
Université Laval Announces Research Project on Predictive Modeling for Biomanufacturing Processes
Université Laval Canada Overview Université Laval has announced a research project focused on predictive modeling of biomanufacturing processes. Key themes include digital twins, machine learning, cell culture, proteins, bioreactors, and... -
Bioprocessing’s ‘AI’ Demystified: Machine Learning Integrates with Existing Tech, Emphasizing Real-time Data at 2026 Summit
Mewburn Ellis UK Overview Discussions at the 2026 Global Bioprocessing & Biotechnology Summit clarified that 'AI' in bioprocessing refers not to large language models, but to the integration of machine learning into existing modeling... -
Stirred Single-Use Bioreactors Achieve 2000L Commercial Scale; Modular Hybrid Platforms Match 5000L Batch Yields
CDMO World Unknown Overview Stirred single-use bioreactors (SUBs) have proven reliable for commercial biologics manufacturing up to 2000L. A novel 'modular hybrid upstream platform' integrating 500L SUBs with continuous perfusion modules...
