Targeted Cancer Therapy Employing the Combination of Artificial Intelligence and Nanotechnology

Authors

  • Abhishek Roy Vivekananda Global University, Jaipur
  • Prem Colaco Department of ISME, ATLAS SkillTech University, Mumbai, Maharashtra, India
  • Aseem Aneja Chitkara University, Rajpura, Punjab, India
  • Trapty Agarwal Maharishi University of Information Technology, Lucknow, India
  • Ramkumar Krishnamoorthy Jain (Deemed to be University), Bangalore, Karnataka, India

Keywords:

Cancer therapy, biomarker, nanoparticles (NPs), drug delivery, artificial intelligence (AI)

Abstract

Cancer is a deadly illness that accounts for about 10 million deaths annually around the globe. Different molecular fingerprints in the human body mean different prognostic information for cancer patients. However, variation in gene expression emerges as a result of different types of cancer and modifications in the cancers, complicating both diagnosis and treatment. Precision medicine in cancer therapy relies heavily on targeted drug delivery, which helps provide medicines to patients by strategically raising local concentrations of the substance there. Nanoparticle (NPs) mediated administering medications and the inclusion of Artificial Intelligence (AI) is helpful techniques for enhancing customized delivery systems for drugs with biomarker identification. The accumulation of NPs in localized cancer facilitates biomarker detection and allows for precise medication delivery planning. Using NPs for cancer targeting in conjunction with AI may lead to the development of cutting-edge systems for better categorizing and understanding the many forms of the illness. The evaluation of pharmacological effectiveness, the prediction of potential NPs interactions of the targeted medicine, and the discovery of biomarkers are all areas where cutting-edge AI systems may aid. Despite the obvious benefits of combining NPs with AI for targeted medication delivery, this topic has received surprisingly little attention in the literature, with most suggested studies focused instead on the intersection of AI and drug development. The primary objective of this research was to emphasize the impact of NPs' recent advances in drug administration on customized cancer treatment plans. Additionally, the paper emphasizes how combining AI and NPs might assist overcome some of the current difficulties in medication administration via a collaborative investigation.

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Published

24.03.2024

How to Cite

Roy, A. ., Colaco, P. ., Aneja, A. ., Agarwal, T. ., & Krishnamoorthy, R. . (2024). Targeted Cancer Therapy Employing the Combination of Artificial Intelligence and Nanotechnology. International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 739–747. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5204

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Research Article

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