Predictive modeling could revolutionize drug manufacturing by helping biopharma organizations achieve right-first-time scale-up,” says Tim Gardner, PhD, Founder and CEO of Riffyn. Biopharmaceutical ...

Biopharmaceutical manufacturing of proteins requires an efficient cell line. Starting with several thousand clones, researchers use multiple selection rounds to ultimately chose one clone for the ...

In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business. Image: ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

The healthcare industry continues to find itself in an entanglement with continuous risks. Handling these risks implies the applicability of highly accurate predictive technologies that promise ...

A complete process from digital twins (DTs) to virtual simulation to virtual and real symbiosis for lifeline infrastructures using structural effects as the connecting elements. The theoretical and ...

NEW YORK & TEL AVIV, Israel--(BUSINESS WIRE)--Pecan AI, the leader in AI-based predictive analytics for BI analysts and business teams, today announced that it has opened its predictive analytics ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...