Recent Advances in Hydrogel‐Based Soft Bioelectronics and its Convergence with Machine Learning
2024 · Advanced Engineering Materials
저자
Eun Seo Lee, Min Young Lee, 김대형 (Dae‐Hyeong Kim), Ja Hoon Koo
연구주제
Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Hydrogels: synthesis, properties, applications
NTIS 과학기술표준분류
가장 가까운 분류(재료 > 고분자재료 > 의료용 소재기술)가 화학·화공 범위 밖이다. 배정 근거: AI 키워드가 잡은 NTIS 과제의 분류.
AI 연구 키워드·방법
전도성 하이드로젤 hydrogel bioelectronics 연성 생체전자소자
키워드 (OpenAlex)
machine learning integration conductive hydrogels
초록
Recent advancements in artificial intelligence (AI) technologies, particularly machine learning (ML) techniques, have opened up a promising frontier in the development of intelligent soft bioelectronics, demonstrating unparalleled performance in interfacing with the human body. Hydrogels, owing to their unique combination of biocompatibility, tunable mechanical properties, and high water content, have emerged as a versatile platform for constructing soft bioelectronic devices. Functionalized hydrogels, such as conductive hydrogels, can efficiently capture biosignals from various target tissues while seamlessly forming conformal and reliable interfaces. They can also function as an intermediary layer between biological tissues and soft bioelectronics for diagnosis and therapy purposes. Meanwhile, ML has demonstrated its efficacy in processing extensive datasets collected from the bioelect…
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
| 연도 | 과제 | 부처 | 사업 | 수행기관 | NTIS 분류(1순위) |
|---|---|---|---|---|---|
| 2024 | 나노입자의 합성과 의료, 에너지 분야 응용 | 과학기술정보통신부 | 기초과학연구원연구운영비지원(주요사업비) | 기초과학연구원 | – |
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Advanced Sensor and Energy Harvesting Materials