인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.12
- 수록면
- 51 - 58 (8page)
이용수
초록· 키워드
With advancements in mobile and wearable technology, digital biomarkers are emerging as transformative tools in healthcare, enabling continuous, cost-effective monitoring. This study aims to define digital biomarkers, review current research, and explore future impacts. This study relied on a review of relevant literature on the development and research of digital biomarkers across several clinical fields, including dementia, Parkinson’s disease, and depression. Digital biomarkers, collected through digital devices like wearables, offer objective, quantifiable physiological and behavioral data. Research has primarily focused on neurology, particularly in dementia and Parkinson’s disease, but has also been published on a range of conditions including diabetes and mental illness.
Unlike traditional biomarkers, digital biomarkers are non-invasive, affordable, and provide realtime data, enhancing disease monitoring and treatment evaluation. They minimize subjective biases and, as endpoints in clinical trials, are expected to expand remote data collection. However, for digital biomarkers to become widely used in patient care and monitoring, several challenges must be addressed, such as data standardization, security, and integration with electronic health records. In the future, composite biomarkers integratin
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
목차
등록된 정보가 없습니다.
참고문헌
참고문헌 신청최근 본 자료
