Open access
Sep 2026
Feature-Driven Nano-QSTR Modeling for Nanoparticle Cytotoxicity Prediction using Ensemble Machine Learning
The rapid growth of engineered nanoparticles in medicine, electronics, and industry has increased the need for reliable toxicity assessment. In response, this study develops nano-QSTR regression models using Extreme Gradient Boosting (XGBoost) and Random Forest (RF), with Ridge regression included as a baseline model,...
Aries P. Valeriano, Charla S. Paredes, F. Bondaug et al.
· Letters in Applied NanoBioSc... · 0 citations