Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.

Predictive modeling compound prioritization has become a central strategy in modern drug discovery, enabling researchers to triage large chemical libraries with increased precision. As compound ...

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 ...

Humans have always needed to support decision-making and strategy with some form of predictive analytics. In Ancient Rome, for example, predictive analytics meant haruspex priests studying animal ...

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 ...

Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...