Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

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 ...

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 ...

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...

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 ...

Semiconductor logic and memory technology development continues to push the limits of process complexity and cost, especially as the industry migrates to the 5 nm node and beyond. Optimization of the ...