Abstract

Nanoparticles are a game-changing innovation in cancer therapy and drug delivery. Their ability to enhance drug targeting, overcome biological barriers, and minimize side effects makes them a cornerstone of modern oncology. The challenge lies in effectively distinguishing cancer cells from their regular counterparts in cancer therapy. Nanotechnology has emerged as a transformative solution, addressing this challenge through precise treatment modalities. This chapter delves into the pivotal role of Nanoparticles (NPs) in cancer therapy, primarily focusing on their significance in the drug delivery process. Overcoming the hurdles posed by conventional treatments, the genomic instability of tumors contributes to the variability among cancers, resulting in chemoresistance that challenges therapeutic success. A pioneering deep learning approach coupled with NPs has been proposed to tackle these issues, outshining previous methodologies by delivering drugs with accurate precision to target cancer cells and tissues. Through this innovative deep-learning technique, the proposed model achieves exceptional outcomes. With a remarkable accuracy of 97.591%, sensitivity of 96.644%, and specificity of 96.415%, the deep learning-enabled NPs demonstrate efficiency compared to the modern methods. This proposed model ushers in a new era of hope for patients and clinicians in the fight against cancer.

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