The increasing globalization of drug development programs has driven a growing need for rigorous cross-validation of bioanalytical assays across multiple laboratory sites. As bioanalytical methods ...

This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n folds. This method improves model performance and ...

Machine learning (ML) has significantly transformed biomedical research, leading to a growing interest in model development to advance classification accuracy in various clinical applications. However ...