Hybrid machine learning models to predict adverse drug reactions (ADRs) using LightGBM, XGBoost, CatBoost, and a Random Forest meta-model. For research and educational purposes only

Hybrid Classical-Quantum ML system for BRCA1/BRCA2 variant classification using ClinVar data.

Hybrid quantum–classical pipeline benchmarking DNA sequence classifiers, contrasting tuned SVM baselines with quantum circuits in reproducible notebooks.