H. Hijji

Computational modeling and optimized machine learning for multidrug solubility prediction in supercritical carbon dioxide.

Sparse, leakage-controlled calibration is established as a more defensible use case than unconditional prediction for unseen drugs, while identifying the need for richer molecular descriptors and external prospective validation.