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Integrating machine-learning and nanotechnology: imatinib-loaded nanomicelles for targeted therapy in MCF-7 breast cancer
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DOI：10.1016/j.matlet.2025.139596.png)
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Abstract
En 中文
• Imatinib-loaded nanomicelles show high encapsulation efficiency, uniform size & pH-responsive release for targeted therapy. • ML algorithms, including XGBoost, accurately predict complex pH-dependent drug release kinetics. • Nanotechnology and ML integration offers mechanistic insights for rational tumor-targeted drug design.
Keywords:
Imatinib
Nanomicelles
Controlled release
pH-responsive
Machine-learning
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