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S. Alshahrani

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Open access Sep 2026

Comparative analysis using machine learning methods for determination of pharmaceutical solubility in supercritical CO2 considering physical properties of drugs

Background Reliable prediction of pharmaceutical solubility in supercritical carbon dioxide (SC-CO2) can support particle engineering and formulation design. However, record-wise validation may overestimate generalization when measurements for the same compound occur in both the training and test sets. Methods A leakag...

S. Alshahrani · 0 citations

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