Indexed In Scopus
  Scopus ID: 21100926589

Nanotechnology Enabled Drug Delivery System Leveraging Machine Learning Techniques

Madhu Priya and Devershi Pallavi Bhatt


Integration of machine learning with nanotechnology has many benefits in a therapeutic manner as compared to classical treatment in areas like cancer, COVID-19, toxicity prediction and many others. Machine learning has proven to be instrumental in enabling personalized treatment approaches and effectively handling extensive datasets, presenting numerous advantages. Similarly, nanotechnology has garnered significant attention as a cutting-edge discipline, particularly in the realm of drug delivery systems, by facilitating targeted delivery exclusively to affected areas. This review paper aims to analyze the drug delivery system using nanotechnology with the integration of machine learning mainly in two areas, COVID-19, and cancer tumor cells. Additionally, it will emphasize the potential advantages of integrating machine earning into this field. Furthermore, it will explore the limitations associated with this approach and discuss the prospects for advancements in this area.

Published on: December 27, 2023
doi: 10.17756/nwj.2023-s5-065
Citation: Priya M, Bhatt DP. 2023. Nanotechnology Enabled Drug Delivery System Leveraging Machine Learning Techniques. NanoWorld J 9(S5): S367-S372.

Download Citation (XML)