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Cited by 624Non-Invasive Vital Sign MonitoringAdvanced Sensor and Energy Harvesting MaterialsWireless Body Area Networks

Evolution of Wearable Devices with Real-Time Disease Monitoring for Personalized Healthcare

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Guk, Kyeonghye, Han, Gaon, Lim, Jaewoo, Jeong, Keunwon, Kang, Taejoon, Lim, Eun-Kyung, Jung, Juyeon·2019·Nanomaterials
DOI 10.3390/nano9060813PMC PMC6631918
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Abstract

Wearable devices are becoming widespread in a wide range of applications, from healthcare to biomedical monitoring systems, which enable continuous measurement of critical biomarkers for medical diagnostics, physiological health monitoring and evaluation. Especially as the elderly population grows globally, various chronic and acute diseases become increasingly important, and the medical industry is changing dramatically due to the need for point-of-care (POC) diagnosis and real-time monitoring of long-term health conditions. Wearable devices have evolved gradually in the form of accessories, integrated clothing, body attachments and body inserts. Over the past few decades, the tremendous development of electronics, biocompatible materials and nanomaterials has resulted in the development of implantable devices that enable the diagnosis and prognosis through small sensors and biomedical devices, and greatly improve the quality and efficacy of medical services. This article summarizes the wearable devices that have been developed to date, and provides a review of their clinical applications. We will also discuss the technical barriers and challenges in the development of wearable devices, and discuss future prospects on wearable biosensors for prevention, personalized medicine and real-time health monitoring.

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  • By integrating data from wearable devices, continuous glucose monitors, and genetic testing, generative AI models can offer real-time, adaptive recommendations that evolve as the patient's condition changes.

    “By integrating data from wearable devices, CGMs, and genetic testing, these models can offer real-time, adaptive recommendations that evolve as the patient’s condition changes (58).”

    From Generative artificial intelligence in predictive analysis of diabetes and its complications: a narrative review (2025) · cites this paper as [58]

    The Introduction describes real-time monitoring by wearable devices, and the Conclusions say accurate monitoring requires machine-based analysis of personal data while noting genetics as a factor in health. The wrist-mounted devices section describes a glucose-monitoring watch. None of these passages says that generative AI integrates wearable, CGM, and genetic-testing data to deliver adaptive recommendations as a patient’s condition changes. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

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Authors
Guk, K., Han, G., Lim, J., Jeong, K., Kang, T., Lim, E.-K., & Jung, J.
Affiliations
Korea Research Institute of Bioscience and Biotechnology (KR)
Corresponding author
  • Lim, Eun-Kyung
  • Jung, Juyeon
ORCID
Venue
Nanomaterials
Publisher
MDPI AG
Published
2019-05-29
Volume
9
Issue
6
Pages
813
ISSN
2079-4991 (ISSN-L)
DOI
10.3390/nano9060813
PMC
PMC6631918
OpenAlex
W2947888826
Cited by
624
References
18
Citations by year
2026: 79 · 2025: 135 · 2024: 110 · 2023: 93 · 2022: 78 · 2021: 73 · 2020: 48 · 2019: 8
FWCI
4.16
Type
journal article
Language
en
Open access
Licence
Locations
  • Nanomaterials (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • KRIBB Repository (submittedVersion)
Funders
the Ministry of Science and ICT (MSIT) Global Frontier Project through the center for BioNano Health-Guard (H-GUARD_2014 M3A6B2060507 and H-GUARD_2013M3A6B2078950)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
Keywords
wearable devices, wearable biosensors, real-time health monitoring, personalized medicine, point-of-care diagnosis, chronic disease monitoring, biomedical implants, biomaterials, physiological monitoring, elderly care

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