Future Trends in Biotechnology Patents: Impact of Nano-Biomedicine and Artificial Intelligence on the Patent Landscape

Authors

  • Raymond R. Tjandrawinata Center for Pharmaceutical and Nutraceutical Research and Policy, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia.
  • Henry Soelistyo Budi Faculty of Law, Pelita Harapan University, Tangerang, Indonesia.

DOI:

https://doi.org/10.38035/jlph.v5i3.1205

Keywords:

Nano-biomedicine Innovation,, AI-driven Patent Analysis,, Convergence of Nanotechnology and AI

Abstract

The development of nano-biomedicine and artificial intelligence (AI) technologies are changing the biotechnology landscape and the global patent system. Both technologies are advancing innovation in sectors such as oncology, genetic diseases, and vaccinology, while posing new challenges in the intellectual property legal framework. This article analyzes the specific sectors most affected by these technologies, discusses regulatory efforts in specific jurisdictions, as well as highlights patent-related case studies of major companies. Additionally, an analysis of the risks and opportunities for collaboration between various parties is outlined to demonstrate the need for regulatory reform to support global innovation. The article also provides strategic recommendations for policymakers as well as long-term projections on the impact of this technology on the patent system in the next 20-30 years.

References

Arkoudas, K., Bringsjord, S., Frankish, K., & Ramsey, W. M. (2012). The Cambridge Handbook of Artificial Intelligence. Eds. Keith Frankish and William M. Ramsey. Cambridge: Cambridge UP, 34–63.

Athreye, S. S., Fassio, C., & Roper, S. (2021). Small firms and patenting revisited. Small Business Economics, 57(1), 513–530.

Bohrer, R. A., & Bargmann, B. (2024). AlphaFold 3, AI, Antibody Patents, the Future of Broad Pharmaceutical Patent Claims and Drug Development. AI, Antibody Patents, the Future of Broad Pharmaceutical Patent Claims and Drug Development (October 10, 2024).

Bonadio, E., & McDonagh, L. (2020). Artificial intelligence as producer and consumer of copyright works: evaluating the consequences of algorithmic creativity. Intellectual Property Quarterly, 2020(2), 112–137.

Budish, E., Kettler, H., Kominers, S. D., Osland, E., Prendergast, C., & Torkelson, A. A. (2022). Distributing a billion vaccines: COVAX successes, challenges, and opportunities. Oxford Review of Economic Policy, 38(4), 941–974.

Chaaban, S., Ratkevi?i?t?, G., & Lau, C. (2024). AI told you so: navigating protein structure prediction in the era of machine learning. The Biochemist, 46(2), 7–12.

Cheng, Z., Fobian, S.-F., Gurrieri, E., Amin, M., D’Agostino, V. G., Falahati, M., Zalba, S., Debets, R., Garrido, M. J., & Saeed, M. (2024). Lipid-based nanosystems: the next generation of cancer immune therapy. Journal of Hematology & Oncology, 17(1), 53.

Contreras, J. L. (2021). The open COVID pledge: design, implementation and preliminary assessment of an intellectual property Commons. Utah L. Rev., 833.

da Silva, R. G. L. (2024). The advancement of artificial intelligence in biomedical research and health innovation: challenges and opportunities in emerging economies. Globalization and Health, 20(1), 44.

de Rassenfosse, G., Jaffe, A. B., & Wasserman, M. (2022). Ai-generated inventions: Implications for the patent system. S. Cal. L. Rev., 96, 1453.

Hachache, R., Yahyaouy, A., Riffi, J., Tairi, H., Abibou, S., Adoui, M. El, & Benjelloun, M. (2024). Advancing personalized oncology: a systematic review on the integration of artificial intelligence in monitoring neoadjuvant treatment for breast cancer patients. BMC Cancer, 24(1), 1300.

Holgersson, M., Granstrand, O., & Bogers, M. (2018). The evolution of intellectual property strategy in innovation ecosystems: Uncovering complementary and substitute appropriability regimes. Long Range Planning, 51(2), 303–319.

Huang, C.-K., Neylon, C., Montgomery, L., Hosking, R., Diprose, J. P., Handcock, R. N., & Wilson, K. (2024). Open access research outputs receive more diverse citations. Scientometrics, 129(2), 825–845.

Jalilian, H., Amraei, M., Javanshir, E., Jamebozorgi, K., & Faraji-Khiavi, F. (2023). Ethical considerations of the vaccine development process and vaccination: a scoping review. BMC Health Services Research, 23(1), 255.

Kaushik, R., Kant, R., & Christodoulides, M. (2023). Artificial intelligence in accelerating vaccine development-current and future perspectives. Frontiers in Bacteriology, 2, 1258159.

Kretschmer, M., Meletti, B., & Porangaba, L. H. (2022). Artificial intelligence and intellectual property: copyright and patents—a response by the CREATe Centre to the UK Intellectual Property Office’s open consultation. Journal of Intellectual Property Law and Practice, 17(3), 321–326.

Kumar, A., Chaudhary, J. S., Dubey, A., & Pachorkar, S. S. (2024). Nanotechnology in Ankylosing Spondylitis: Advancements in Drug Delivery and Targeted Therapy. International Journal of Drug Delivery Technology, 14(2), 1162–1173.

Lenarczyk, G., Minssen, T., & Aboy, M. (2024). The nature, scope and validity of patent pledges. Journal of Intellectual Property Law and Practice, 19(11), 805–808.

Mariani, M., & Dwivedi, Y. K. (2024). Generative artificial intelligence in innovation management: A preview of future research developments. Journal of Business Research, 175, 114542.

Maskus, K. E. (2001). Intellectual property challenges for developing countries: An economic perspective. U. Ill. L. Rev., 457.

Miyamoto, T. (2019). International treaties and patent law harmonization: today and beyond. Edward Elgar Publishing.

Naoaj, M. S. (2023). The Globalization-Inequality Nexus: A Comparative Study of Developed and Developing Countries. ArXiv Preprint ArXiv:2302.09537.

Nguyen, N. K. H., & Quan, D. H. (2023). Artificial intelligence and inventorship under the patent law regime: Practical development from common law jurisdictions. Vietnamese Journal of Legal Sciences, 8(1), 25–54.

Olubiyi, I. A., Emerole, U. A., & Adetula, A. F. (2022). Contemporary challenges to intellectual property rights in developing countries: looking beyond the laws (Nigeria as a case study). IIC-International Review of Intellectual Property and Competition Law, 53(1), 5–30.

Padma, S., Chakraborty, P., & Mukherjee, S. (2022). Nano-biosensors for diagnosing infectious and lifestyle-related disease of human: an update. In Next-generation nanobiosensor devices for point-of-care diagnostics (pp. 79–103). Springer.

Rikap, C., & Lundvall, B.-Å. (2021). Digital Innovation Race. Springer.

Santosa, W. Y. (n.d.). Patent on Nanotechnology in Indonesia and Its Legal Challenge. Mimbar Hukum-Fakultas Hukum Universitas Gadjah Mada, 28(2), 225–347.

Schot, J., & Steinmueller, W. E. (2018). Three frames for innovation policy: R&D, systems of innovation and transformative change. Research Policy, 47(9), 1554–1567.

Stewart, T. (2000). The Functioning of Patent Monopoly Rights in Developing Economies: In Whose Interest? Social and Economic Studies, 1–52.

Verma, M., Ozer, I., Xie, W., Gallagher, R., Teixeira, A., & Choy, M. (2023). The landscape for lipid-nanoparticle-based genomic medicines. Nat Rev Drug Discov, 22(5), 349–350.

Vora, L. K., Gholap, A. D., Jetha, K., Thakur, R. R. S., Solanki, H. K., & Chavda, V. P. (2023). Artificial intelligence in pharmaceutical technology and drug delivery design. Pharmaceutics, 15(7), 1916.

Zhang, H., Zhang, L., Lin, A., Xu, C., Li, Z., Liu, K., Liu, B., Ma, X., Zhao, F., & Jiang, H. (2023). Algorithm for optimized mRNA design improves stability and immunogenicity. Nature, 621(7978), 396–403.

Zhou, K., & Gattinger, G. (2024). The Evolving Regulatory Paradigm of AI in MedTech: A Review of Perspectives and Where We Are Today. Therapeutic Innovation & Regulatory Science, 58(3), 456–464.

Ziakis, C., Vlachopoulou, M., & Petridis, K. (2022). Start-up ecosystem (StUpEco): A conceptual framework and empirical research. Journal of Open Innovation: Technology, Market, and Complexity, 8(1), 35.

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Published

2025-01-31

How to Cite

R. Tjandrawinata, R., & Soelistyo Budi, H. (2025). Future Trends in Biotechnology Patents: Impact of Nano-Biomedicine and Artificial Intelligence on the Patent Landscape. Journal of Law, Politic and Humanities, 5(3), 1571–1583. https://doi.org/10.38035/jlph.v5i3.1205

Issue

Vol. 5 No. 3 (2025): (JLPH) Journal of Law, Politic and Humanities

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Articles

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Copyright (c) 2025 Raymond R. Tjandrawinata, Henry Soelistyo Budi

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