Imagine this: You hurt your knee, and you’re scouting orthopedic surgeons. The first doctor you see tells you “Every knee is different, I’ll just have to open you up and go from there.” When you ask ...

Models of biopharmaceutical production processes are more accurate and predictive if all downstream steps are considered together rather than individually. At least that’s according to researchers at ...

Digital models can be used to optimize drug production processes more effectively than traditional trial and error methods. But digital models could do much more if ...

LONDON--(BUSINESS WIRE)--Process Systems Enterprise (PSE), a Siemens business, today released its rebranded gPROMS Process advanced process modelling environment. Formerly known as gPROMS ...

Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

In many social sciences, such as psychology and economics, there is an ongoing debate between whether a model should be based on Normative or Process analyses. A normative model is one which asks what ...