Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Abstract: Expensive constrained multi-objective optimization problems (ECMOPs) are prevalent in engineering practice and are characterized by extremely high evaluation costs for both objective and ...

In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for conditions from Alzheimer’s to cancer, eliminating the need to build separate ...

Abstract: This article presents a novel knowledge-based genetic algorithm (GA) to generate a collision-free path in complex environments. The proposed algorithm infuses specific domain knowledge into ...