The Future of Efficient and Resilient Manufacturing
Ever wondered how digital twins are revolutionizing bioprocessing?
These virtual replicas of physical systems integrate real-time data, enhancing monitoring, control, and optimization. While current digital twins rely on trained data, the industry is pushing boundaries to create comprehensive models that predict untrained scenarios.
Transforming Biopharma with Digital Twins
The biopharmaceutical industry is rapidly evolving, driven by the need to deliver high-quality medications faster and more efficiently. Digital transformation is key, with bioprocess digital twins at the forefront. These virtual models represent real-world bioprocesses, enabling organizations to analyze, predict, and optimize performance, monitor operations, and enhance decision-making.
Boosting Speed, Efficiency, and Resilience
Digital twins accelerate drug development and production by replacing physical experiments with in-silico modeling. This streamlines design, optimization, and scale-up, reducing costs and enhancing efficiency. In manufacturing, digital twins enable advanced monitoring and real-time optimization, increasing robustness, yield, and productivity.
At QBDC, we envision digital twins that leverage deep insights from cell regulation data, particularly DNA methylation. This innovative approach (we call our solution "EDDI") promises unparalleled accuracy, making digital twins more robust and reliable across various production environments.