This project evaluates whether PLGA nanoparticle encapsulation efficiency can be predicted for unseen small-molecule drugs using public formulation data. Drug-grouped validation assesses generalization, while molecular, polymer, and formulation variables are examined for their contribution to model predictions.
machine-learningmolecular-descriptorsnanoparticle-drug-deliveryencapsulation-efficiencynanobiotechnologyplga-nanoparticlesdrug-grouped-validationformulation-parameters
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Updated
Aug 28, 2026 - Jupyter Notebook