Nanomedicine in Combination with Artificial Intelligence (AI): Transforming Cancer Treatment

Year : 2025 | Volume : 12 | Issue : 01 | Page : 27 30
    By

    D.Jeslin,

  • G.Vijayamma,

  • K.Antony Ajitha,

  • S.Gowtham,

  • N.Deepa,

  • S.Nirmala,

  • V.Harini,

  1. Faculty of Pharmacy, Department of Pharmaceutics, Sree Balaji Medical College and Hospital Campus, Bharath Institute of Higher Education and Research, Chromepet, Chennai-44, Tamil Nadu, India
  2. Faculty of Pharmacy, Department of Pharmaceutical Analysis, Faculty of Pharmacy, Sree Balaji Medical College and Hospital Campus, Bharath Institute of Higher Education and Research, Chromepet, Chennai-44, Tamil Nadu, India
  3. Faculty of Pharmacy, Department of Pharmaceutics, Sree Balaji Medical College and Hospital Campus, Bharath Institute of Higher Education and Research, Chromepet, Chennai-44, ,
  4. Faculty of Pharmacy, Department of Pharmaceutics, Sree Balaji Medical College and Hospital Campus, Bharath Institute of Higher Education and Research, Chromepet, Chennai-44, Tamil Nadu, India
  5. Faculty of Pharmacy, Department of Pharmacognosy, Sree Balaji Medical College and Hospital Campus, Bharath Institute of Higher Education and Research, Chromepet, Chennai-44, Tamil Nadu, India
  6. Faculty of Pharmacy, Department of Pharmacognosy, Sree Balaji Medical College and Hospital Campus, Bharath Institute of Higher Education and Research, Chromepet, Chennai-44, Tamil Nadu, India
  7. Faculty of Pharmacy, Department of Pharmacognosy, Sree Balaji Medical College and Hospital Campus, Bharath Institute of Higher Education and Research, Chromepet, Chennai-44, Tamil Nadu, India

Abstract

The convergence of nanomedicine and artificial intelligence (AI) holds transformative potential for advancing cancer treatment, particularly in liver cancer. Nanomedicine enables the development of targeted drug delivery systems, enhanced imaging modalities, and precise therapeutic interventions, while AI facilitates data-driven decision-making, personalized treatment plans, and predictive analytics. This synergistic approach can significantly improve the diagnosis, treatment, and monitoring of liver cancer by optimizing the use of nanoparticle-based therapies. AI-powered algorithms can analyze complex patient data, including genetic profiles, imaging results, and tumor characteristics, to tailor nanoparticle formulations for targeted therapy and enhance the efficacy of immunotherapies. Additionally, AI can optimize drug combinations, overcome resistance mechanisms, and monitor real-time treatment responses, ensuring that therapies are both effective and adaptive. Despite the promise of this integration, challenges such as data privacy, regulatory hurdles, and the ethical implications of AI-driven decision-making must be addressed. The combined capabilities of nanomedicine and AI represent a paradigm shift in the treatment of liver cancer, offering more personalized, efficient, and precise approaches to cancer care.

Keywords: Nanomedicine, Drug Resistance, Clinical decision support systems, Personalized Drug Delivery, AI in Immunotherapy.

[This article belongs to Trends in Drug Delivery ]

How to cite this article:
D.Jeslin, G.Vijayamma, K.Antony Ajitha, S.Gowtham, N.Deepa, S.Nirmala, V.Harini. Nanomedicine in Combination with Artificial Intelligence (AI): Transforming Cancer Treatment. Trends in Drug Delivery. 2025; 12(01):27-30.
How to cite this URL:
D.Jeslin, G.Vijayamma, K.Antony Ajitha, S.Gowtham, N.Deepa, S.Nirmala, V.Harini. Nanomedicine in Combination with Artificial Intelligence (AI): Transforming Cancer Treatment. Trends in Drug Delivery. 2025; 12(01):27-30. Available from: https://journals.stmjournals.com/tdd/article=2025/view=195989


References

  1. Serov N, Vinogradov V. Artificial intelligence to bring nanomedicine to life. Adv Drug Deliv Rev. 2022;184:114194. doi:10.1016/j.addr.2022.114194.
  2. Ho D, Wang P, Kee T. Artificial intelligence in nanomedicine. Nanoscale Horiz. 2019;4(2):365–377. doi:10.1039/C8NH00233A.
  3. Wilson B, KM G. Artificial intelligence and related technologies enabled nanomedicine for advanced cancer treatment. Nanomedicine. 2020;15(5):433–435. doi:10.2217/nnm-2019-0366.
  4. Heydari S, Masoumi N, Esmaeeli E, Ayyoubzadeh SM, Ghorbani-Bidkorpeh F, Ahmadi M. Artificial intelligence in nanotechnology for treatment of diseases. J Drug Target. 2024;32(10):1247–1266. doi:10.1080/1061186X.2024.2393417.
  5. Wang J, Liu G, Zhou C, Cui X, Wang W, Wang J, et al. Application of artificial intelligence in cancer diagnosis and nano tumor medicine. Nanoscale. 2024;30:14213–14246. doi:10.1039/D4NR01832J.
  6. Al Amin M, Emran TB, Khan J, Zehravi M, Sharma I, Patil A, et al. Research progress of indole alkaloids: targeting MAP kinase signaling pathways in cancer treatment. Cancers. 2023;15(22):5311. doi:10.3390/cancers15225311.
  7. Das KP. Nanoparticles and convergence of artificial intelligence for targeted drug delivery for cancer therapy: current progress and challenges. Front Med Technol. 2023;4. doi:10.3389/fmedt.2022.1067144.
  8. Soltani M, Moradi Kashkooli F, Souri M, Zare Harofte S, Harati T, Khadem A, et al. Enhancing clinical translation of cancer using nanoinformatics. Cancers. 2021;13(10):2481. doi:10.3390/cancers13102481.
  9. Kasture K, Shende P. Amalgamation of artificial intelligence with nanoscience for biomedical applications. Arch Computat Methods Eng. 2023;30:4667–4685. doi:10.1007/s11831-023-09948-3.
  10. Govindan B, Sabri MA, Hai A, Banat F, Haija MA. A review of advanced multifunctional magnetic nanostructures for cancer diagnosis and therapy integrated into an artificial intelligence approach. Pharmaceutics. 2023;15(3):868. doi:10.3390/pharmaceutics15030868.
  11. Mazi SI, Hassen AM, Alrashed FA, Benslimane FM, Mohamed NA. Artificial intelligence-nanomedicine interface: today’s theory tomorrow’s technology. Arch Clin Biomed Res. 2023;7:635–641. doi:10.26502/acbr.50170379.
  12. Khong J, Wang P, Gan TRX, Ng J, Anh TTL, et al. The role of artificial intelligence in scaling nanomedicine toward broad clinical impact. In: Nanoparticles for Biomedical Applications. Elsevier; 2020. 385–407. doi:10.1016/B978-0-12-816662-8.00022-9.
  13. Hassan SADH, Almaliki MNS, Hussein ZA. Development of nanotechnology by artificial intelligence: a comprehensive review. J Nanosci. 2023;13(4):915–932. doi:10.22052/JNS.2023.04.002.
  14. Weerarathna IN, Kamble AR, Luharia A. Artificial intelligence applications for biomedical cancer research: a review. Cureus. 2023;15(11):e48307. doi:10.7759/cureus.48307.
  15. Singh AV, Ansari MHD, Rosenkranz D, et al. Artificial intelligence and machine learning in computational nanotoxicology: unlocking and empowering nanomedicine. Adv Healthc Mater. 2020;9(17):1901862. doi:10.1002/adhm.201901862.
Regular Issue Subscription Review Article
Volume 12
Issue 01
Received 22/01/2025
Accepted 27/01/2025
Published 30/01/2025
Publication Time 8 Days
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