optimization software
optimization software
Revolutionary Open-Source Biomanufacturing Simulation Model!
🔬 A new open-source simulation model, KTB1, enables biomanufacturers to optimize continuous biomanufacturing processes with tailored strategies. 🌱
Breakthrough Method Detects Different DNA Forms
🔬 Researchers have developed a method to detect different isoforms of plasmid DNA using microfluidic electrophoresis. 🧬💉🧪💡
Revolutionizing Cell Culture Automation with Raman Spectroscopy
🔬 Discover how Raman spectroscopy revolutionizes biopharmaceutical manufacturing by optimizing processes, improving quality, and reducing costs. 🧪✨
Revolutionizing Bioprocessing with Integrated Microfluidics
📝 Bioprocessing can benefit from the integration of microfluidic devices, similar to how integrated circuits transformed computing. 🌡️ Microfluidics offer advantages such as testing multiple variables quickly and using low reagent levels. 🧪 Researchers developed an integrated microfluidic device for continuous bioprocessing, allowing for the screening and optimization of multiple conditions. 🔬 The device demonstrated consistent production of green fluorescent protein (GFP) over eight days. ⏱️ Integrated microfluidic devices have the potential to revolutionize biomanufacturing with rapid screening and optimization capabilities.
Master Your Biopharma Strategy: Avoid Over-Investing
📢 Process intensification in biopharma is complex and costly, but with data-driven strategies and step-by-step implementation, success is possible! 💪💰📈
Boosting Machine Learning in Biotech with Prediction Stability
📚 Researchers have developed an approach to improve machine learning in biological sequence design. 👥 By considering prediction stability, the selection pool of antibodies can be expanded. 💡 This method allows machine learning algorithms to identify diverse sequences unrelated to training data. ⚖️ The approach balances safety and success by finding a middle ground between prediction accuracy and uncertainty. 🧪 Scientists validated this approach by designing antibodies against galectin-3 and successfully expressing a desired sequence. 🔬 The researchers used their own multi-objective optimization software, but any off-the-shelf optimizer can be used. 🌐 This approach can be particularly useful in situations with limited data.
