The role of nanomedicine and artificial intelligence in cancer health care: individual applications and emerging integrations-a narrative review.

Journal: Discover oncology
Published Date: May 8, 2025

Abstract

Cancer remains one of the deadliest diseases globally, significantly impacting patients' quality of life. Addressing the rising incidence of cancer deaths necessitates innovative approaches such as nanomedicine and artificial intelligence (AI). The convergence of nanomedicine and AI represents a transformative frontier in cancer healthcare, promising unprecedented advancements in diagnosis, treatment, and patient management. This narrative review explores the distinct applications of nanomedicine and AI in oncology, alongside their synergistic potential. Nanomedicine leverages nanoparticles for targeted drug delivery, enhancing therapeutic efficacy while minimizing adverse effects. Concurrently, AI algorithms facilitate early cancer detection, personalized treatment planning, and predictive analytics, thereby optimizing clinical outcomes. Emerging integrations of these technologies could transform cancer care by facilitating precise, personalized, and adaptive treatment strategies. This review synthesizes current research, highlights innovative individual applications, and discusses the emerging integrations of nanomedicine and AI in oncology. The goal is to provide a comprehensive understanding of how these cutting-edge technologies can collaboratively improve cancer diagnosis, treatment, and patient prognosis.

Authors

  • Prasanthi Samathoti
    Department of Pharmaceutics, MB School of Pharmaceutical Sciences (Earst While Sree Vidyanikethan College of Pharmacy), Mohan Babu University, Tirupati, 517102, Andhra Pradesh, India.
  • Rajasekhar Komarla Kumarachari
    Department of Pharmaceutical Chemistry, Meenakshi Faculty of Pharmacy, MAHER University, Thandalam, MevalurKuppam, 602105, Tamil Nadu, India.
  • Sarad Pawar Naik Bukke
    Department of Pharmaceutics and Pharmaceutical Technology, Kampala International University, Western Campus, P.O. Box 71, Ishaka, Bushenyi, Uganda. drsaradpawar@kiu.ac.ug.
  • Eashwar Sai Komarla Rajasekhar
    Department of Data Science and Artificial Intelligence, Indian Institute of Technology, Bhilai, Kutela Bhata, 491001, Chattisgarh, India.
  • Ashish Ashokkumar Jaiswal
    Upsher-Smith Laboratories, Maple Grove, MN, 55369-6026, USA.
  • Zohre Eftekhari
    Department of Biotechnology, Pasteur Institute of Iran, District 11, Rajabi, M9RW+M55, Tehran, Tehran Province, Iran.

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