Smart nanomedicines powered by artificial intelligence: a breakthrough in lung cancer diagnosis and treatment.

Journal: Medical oncology (Northwood, London, England)
PMID:

Abstract

Lung cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to challenges in early detection, suboptimal therapeutic efficacy, and severe adverse effects associated with conventional treatments. The convergence of nanotechnology and artificial intelligence (AI) offers transformative potential in precision oncology, enabling innovative solutions for lung cancer diagnosis and therapy. Intelligent nanomedicines facilitate targeted drug delivery, enhanced imaging, and theranostic applications, while AI-driven models harness big biomedical data to optimize nanomedicine design, functionality, and clinical application. This review explores the synergistic integration of AI and nanotechnology in lung cancer care, highlighting recent advancements, key challenges, and future directions for clinical translation. Ethical considerations, including data standardization and privacy concerns, are also addressed, providing a comprehensive roadmap to overcome current barriers and advance the adoption of AI-driven intelligent nanomedicines in precision oncology. This synthesis underscores the critical role of emerging technologies in revolutionizing lung cancer management.

Authors

  • Moloudosadat Alavinejad
    Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico, Universitat Politècnica de València, Universitat de València, Valencia, Spain.
  • Maryam Shirzad
    Nanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Mohammad Javad Javid-Naderi
    Department of Medical Biotechnology and Nanotechnology, Faculty of Medicine, Mashhad University of Medical Science, Mashhad, Iran; Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Abbas Rahdar
    Department of Physics, University of Zabol, Zabol, Iran. Electronic address: a.rahdar@uoz.ac.ir.
  • Sonia Fathi-Karkan
    Natural Products and Medicinal Plants Research Center, North Khorasan University of Medical Sciences, Bojnurd 94531-55166, Iran; Department of Medical Nanotechnology, School of Medicine, North Khorasan University of Medical Science, Bojnurd, Iran. Electronic address: Soniafathi92@gmail.com.
  • Sadanand Pandey
    School of Bioengineering and Food Technology, Faculty of Applied Sciences and Biotechnology, Shoolini University, Solan, Himachal Pradesh, 173229, India. sadanand.au@gmail.com.