Role of Artificial Intelligence and Machine Learning in Advancing Nanomedicine for Breast Cancer Therapy

Breast cancer is still one of the most common and serious cancers that affect women globally. The standard treatments have deficiencies like non-personalization, drug resistance, and off-target toxicity. Therefore the Nanotechnology-based treatments hold a promising alternative. These technologies provide increased bioavailability, diminished systemic toxicity and drug targeting. But due to the complexity in the biology of tumors and patient heterogeneity, there is a requirement of adaptive and smart solutions. Artificial intelligence (AI) and machine learning (ML) with nanotechnology has emerged as a game-changer in the treatments of the breast cancer. This chapter explores the potential of AI and ML in nanotechnology-based approaches in advancing Nanomedicine for breast cancer therapy. This advancement improves the treatment of breast cancer and increases the survival rate. It includes deep learning, and predictive modeling strategies which are helpful in drug release kinetics, nanoparticle design, and personal treatment planning. The focus is on real-time monitoring of therapeutic responses, biomarker discovery, and AI-based diagnostic systems. Although multiple advantages, there are some challenges such as data insufficiency, model interpretability, ethical issues, and nanotoxicity which are also discussed in this chapter. Real-world applications and case studies are also discussed to depict the industrial application of the technology. The convergence can potentially radically change breast cancer treatments using the artificial intelligence technologies to implement personalized and optimized treatment.