AUG 13, 2026 · JOURNAL ARTICLE
Shedding light on neural learning to rank models for anticancer drug prioritization
PLOS One
This is a benchmarking and methods development study using machine learning on existing drug-screening datasets with no prospective validation, clinical outcomes, or independent test cohort, demonstrating feasibility and interpretability of neural ranking models rather than efficacy.
Study details
DesignComputational benchmarking study across mul…
InterventionLearning to Rank (LeToR) neural models with…
ComparatorSix ranking loss functions and five types o…