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

  • Maryam Shirzad
  • , Afsaneh Salahvarzi
  • , Sobia Razzaq
  • , Mohammad Javad Javid-Naderi
  • , Abbas Rahdar
  • , Sonia Fathi-karkan
  • , Azam Ghadami
  • , Zelal Kharaba
  • , Luiz Fernando Romanholo Ferreira
  • Mashhad University of Medical Sciences
  • University of Management and Technology
  • University of Zabol
  • North Khorasan University of Medical Sciences
  • Islamic Azad University
  • Universidade Católica de Brasilia

Research output: Contribution to journal › Review article › peer-review

52 Scopus citations

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.

Original languageEnglish
Article number104653
JournalCritical Reviews in Oncology/Hematology
Volume208
DOIs
StatePublished - Apr 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Drug delivery systems
  • Nanocarriers
  • Personalized medicine
  • Precision oncology
  • Toxicity prediction

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