Detecting early signs of process drift in commercial bioreactors remains a major hurdle for biopharma manufacturers. Traditional monitoring systems—often limited to empirical trends—frequently miss subtle deviations in complex biological systems, resulting in inconsistent product quality and delayed response times.
With support from the tech experts at Tridiagonal Software, The upstream process development team adopted science-based strategy that enabled early detection of abnormal shear conditions- one of the critical factors affecting cell viability and yield.
Download the case study to explore the innovative approach and discover how enhanced process intelligence led to stronger process outcomes.
