sensor innovation

sensor innovation

featured image of New Jersey: The Next Life Sciences Powerhouse!

New Jersey: The Next Life Sciences Powerhouse!

BIOT

🌟 New Jersey is ready to lead in life sciences! 🚀 Strong biopharma sector, skilled workforce, and innovative collaborations fuel growth! 🔬📈

featured image of Unlocking AI's Power for Bioprocessing Success!

Unlocking AI’s Power for Bioprocessing Success!

BIOT

Unlock the future of bioprocessing with 🤖 Generative AI! Enhance quality assurance while understanding its limits for optimal results. 🚀💡

featured image of Unlocking Sustainable Bioprocessing: A Delicate Balance

Unlocking Sustainable Bioprocessing: A Delicate Balance

BIOT

Explore the 🌱 sustainability balance in bioprocessing, emphasizing environmental impact, quality, and safety for a greener future! 🌏✨

featured image of Unlocking Innovation Through Sustainable Solutions

Unlocking Innovation Through Sustainable Solutions

BIOT

🌍 Sustainability drives innovation! 🚀 David Roush highlights effective metrics and collaboration as keys to a greener future. 💧✨

featured image of Europe's Cluster Conference: Boosting Green Digital and Biotech Leadership

Europe’s Cluster Conference: Boosting Green Digital and Biotech Leadership

BIOT

💥 More than 900 experts from clusters and the EU Commission gathered in Brussels for the European Cluster Conference. 🌍💪🏼

featured image of Revolutionizing Cell and Gene Therapy: Challenges and Opportunities

Revolutionizing Cell and Gene Therapy: Challenges and Opportunities

BIOT

Redefining Cell and Gene Therapy Navigation 📰 explores the challenges and opportunities in this rapidly evolving sector 🧬. It emphasizes the need for improved regulatory frameworks and collaboration 💼💪🏼🌍.

featured image of Revolutionizing Bioprocesses with Machine Learning

Revolutionizing Bioprocesses with Machine Learning

BIOT

📢 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.