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Combining bioelectronics, DNA nanotechnology and soft robotics is also facilitating innovation in the next-generation biomedical devices, thus allowing improved functionality of medical procedures, diagnostics and regenerative medicine. Nevertheless, despite the fast progress, there are no systematic scientometric assessments of the tendency of research, partnerships and development of themes in this field. This paper sets out to examine the field of bioelectronic devices, its development, issues and research directions, with special attention given to neural interface, DNA-based materials and soft robotics, and prospects of next-generation innovation. It was done in a scientometric manner through bibliometric analysis of 1,443 Scopus-indexed records written between 2015 and 2025. Trends and analysis of publications, author productivity ranking, journal impact metrics, collaboration networks and maps of keywords co-occurring were generated using CiteSpace and Tableau to perform data visualization and analysis. The visual tools, including Sankey and chord plots, geographic maps, were used to determine the research hotspots and international participation patterns. The findings showed exponential growth of publications since 2019 with China and the USA contributing to the global publications. The networks of collaboration include effective international and interdisciplinary collaboration. Ma-jor themes were also determined through keyword co-occurrence analysis and they were flexible and biocompatible materials, AI-enhanced neural interfaces and self-powered systems. This paper points out a multidisciplinary direction in the world that has shifted to autonomous, sustainable and personalized medical technologies. The current research can be developed in the future through the creation of improved tools in mate-rial science, creation of intelligent actuation mechanisms, and incorporation of bioelectronic systems with AI-powered healthcare solutions. These lessons can be used by researchers, technologists and policymakers to develop the next generation of biomedical devices.

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Next-Generation Bioelectronic Devices for Sustainable Intelligent Systems: Integrating Neural Interfaces, DNA Nanotechnology, and Soft Robotics

  • 会议论文

  • 发表日期：

    2026年

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  • R. Archana Reddy,
  • N. Shilpa,
  • Malathy Vanniappan,
  • Shirisha Balle

摘要

Combining bioelectronics, DNA nanotechnology and soft robotics is also facilitating innovation in the next-generation biomedical devices, thus allowing improved functionality of medical procedures, diagnostics and regenerative medicine. Nevertheless, despite the fast progress, there are no systematic scientometric assessments of the tendency of research, partnerships and development of themes in this field. This paper sets out to examine the field of bioelectronic devices, its development, issues and research directions, with special attention given to neural interface, DNA-based materials and soft robotics, and prospects of next-generation innovation. It was done in a scientometric manner through bibliometric analysis of 1,443 Scopus-indexed records written between 2015 and 2025. Trends and analysis of publications, author productivity ranking, journal impact metrics, collaboration networks and maps of keywords co-occurring were generated using CiteSpace and Tableau to perform data visualization and analysis. The visual tools, including Sankey and chord plots, geographic maps, were used to determine the research hotspots and international participation patterns. The findings showed exponential growth of publications since 2019 with China and the USA contributing to the global publications. The networks of collaboration include effective international and interdisciplinary collaboration. Ma-jor themes were also determined through keyword co-occurrence analysis and they were flexible and biocompatible materials, AI-enhanced neural interfaces and self-powered systems. This paper points out a multidisciplinary direction in the world that has shifted to autonomous, sustainable and personalized medical technologies. The current research can be developed in the future through the creation of improved tools in mate-rial science, creation of intelligent actuation mechanisms, and incorporation of bioelectronic systems with AI-powered healthcare solutions. These lessons can be used by researchers, technologists and policymakers to develop the next generation of biomedical devices.