Revolutionizing prostate cancer therapy: Artificial intelligence - Based nanocarriers for precision diagnosis and treatment.

Journal: Critical reviews in oncology/hematology
PMID:

Abstract

Prostate cancer is one of the major health challenges in the world and needs novel therapeutic approaches to overcome the limitations of conventional treatment. This review delineates the transformative potential of artificial intelligence (AL) in enhancing nanocarrier-based drug delivery systems for prostate cancer therapy. With its ability to optimize nanocarrier design and predict drug delivery kinetics, AI has revolutionized personalized treatment planning in oncology. We discuss how AI can be integrated with nanotechnology to address challenges related to tumor heterogeneity, drug resistance, and systemic toxicity. Emphasis is placed on strong AI-driven advancements in the design of nanocarriers, structural optimization, targeting of ligands, and pharmacokinetics. We also give an overview of how AI can better predict toxicity, reduce costs, and enable personalized medicine. While challenges persist in the way of data accessibility, regulatory hurdles, and interactions with the immune system, future directions based on explainable AI (XAI) models, integration of multimodal data, and green nanocarrier designs promise to move the field forward. Convergence between AI and nanotechnology has been one key step toward safer, more effective, and patient-tailored cancer therapy.

Authors

  • Maryam Shirzad
    Nanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Afsaneh Salahvarzi
    Nanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Sobia Razzaq
    Faculty of Pharmacy, The University of Lahore, Lahore, Pakistan.
  • 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.
  • Azam Ghadami
    Department of Chemical and Polymer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
  • Zelal Kharaba
    Department of Pharmacy Practice and Pharmacotherapeutics, College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates.
  • Luiz Fernando Romanholo Ferreira
    Graduate Program in Genomic Sciences and Biotechnology, Catholic University of Brasília, Brasília 71966-700, Brazil. Electronic address: luiz.romanholo@p.ucb.br.