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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received July 9, 2024
Revised October 18, 2024
Accepted October 20, 2024
Available online July 26, 2025
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Soft Implantable Bioelectronics for the Management of Neurological Disorders and Cardiovascular Diseases

Department of Biomedical Engineering , Yonsei University 1Department of Chemical Engineering , Kumoh National Institute of Technology 2Department of Semiconductor Systems Engineering , Sejong University 3Institute of Semiconductor and System IC , Sejong University 4Center for Nanoparticle Research, Institute for Basic Science 5School of Chemical and Biological Engineering, Institute of Chemical Processes , Seoul National University
dkim98@snu.ac.kr
Korean Journal of Chemical Engineering, July 2025, 42(9), 000042
https://doi.org/10.1007/s11814-024-00318-8

Abstract

Continuous monitoring systems that eff ectively manage neurological disorders and cardiovascular diseases are crucial for

enhancing the quality of life in aging societies. Soft implantable bioelectronics, which consists of soft devices with mechanical

properties akin to biological tissues, are promising candidates for such monitoring systems. These devices enable conformal

integration with target tissues, minimizing adverse side eff ects during their long-term use. They also precisely monitor

physiological conditions, facilitating tailored therapeutic interventions based on individual physiological responses. This

review highlights recent advancements in soft implantable bioelectronics for managing neurological disorders and cardiovascular

diseases. Specifi cally, strategies for the materials, device fabrication, and their integration with the biological tissues

are reviewed in detail fi rst. Then, the challenges in translating these technologies into practical applications are addressed,

including the integration of artifi cial intelligence (AI) technologies.

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