Conducting first-in-human clinical trials in the United States is often associated with significant cost, complexity and delay. There is a ...

Statistical process control (SPC) has become a foundational element of continued process verification (CPV) programs in biopharmaceutical manufacturing. When deployed correctly, SPC reduces deviation ...

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to ...

RNA therapeutics are expanding rapidly, driving demand for manufacturing processes that can keep pace with clinical translation. Because mRNA yield and impurity profiles are jointly influenced by ...

This asynchronous course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to ...

Figure 1: Overview of process analytical technologies (PATs) that can be implemented across a biopharmaceutical manufacturing process; conductiv.= conductivity, MES = manufacturing enterprise system, ...

An R package for run charts and individuals control charts for statistical quality control and improvement. pbcharts implements the I prime (I’ or normalised I ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Former Professor and Head, Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research, Sector 67, Sahibzada Ajit Singh Nagar 160062, Punjab, India Published as ...

Advanced packaging is transforming semiconductor manufacturing into a multi-dimensional challenge, blending 2D front-end wafer fabrication with 2.5D/3D assemblies, high-frequency device ...