bioprocesses
bioprocesses
Revolutionizing Bioprocesses with Machine Learning
📢 Machine learning (ML) could revolutionize biopharmaceutical processes by creating predictive models. 🔬 Manufacturers need high-density process sensors to train ML algorithms. 🚫 Sensors should be noninvasive and prevent contamination. 🧫 Researchers have developed a noninvasive CO2 sensor for cell culture monitoring. 💡 Machine learning can still be applied even with limited real-time data. 📚 A machine learning-based method for protein quality assessment using limited data has been developed. 💪 ML has the power to simplify process monitoring and improve bioprocess outcomes.
Revolutionary System Boosts Lentiviral Vector Production
📝 Scaling-up production of lentiviral vectors (LV)-based therapies is a challenge for biomanufacturers. 😎🔬 McGill University researchers have developed a semi-continuous manufacturing system that enhances the quantity and recovery of LVs, reduces instability, and cuts processing time by four-fold. ⏱️💪 The system integrates upstream and downstream bioprocesses, resulting in significant time savings. 💡✨ It operates by rotating membranes between two systems, improving efficiency. 🔄🔝
Boost Efficiency and Speed with AI Automation
🤖 Automation in process development can improve efficiency and speed up the optimization of processes. Currently, automation is not widely used in the process development lab, but it has been successful in drug discovery and production plants. 🔬 Automation combined with digitalization can provide better data management and insights into bioprocesses. 👥 Collaboration with technology suppliers and a solid data infrastructure are essential for successful automation projects. 🤔 Challenges include the lack of regulatory standards for the development and deployment of AI in medical use cases. 👨🔬 AI has potential applications in process development, such as cell therapy manufacturing and production scheduling. 📚 AI is already used to process lab images and make process decisions. 💡 Automation and AI can greatly benefit process development and lead to more efficient drug manufacturing.
Revolutionary Smart Modeling Boosts Bioprocessing Efficiency
Scientists and engineers are revolutionizing bioprocessing through smart modeling and analytics software. 🧬🔬💡✅
Revolutionary Algorithms Boost Bioprocess Optimization!
💡💻🔬Chemical engineering professor Nadav Bar discusses how algorithms optimize bioprocesses, improving productivity and efficiency in biological manufacturing.
