| Title: | Technologies for monitoring biomarkers of aging: literature review and research agenda |
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| Authors: | ID Pivka, Jurij (Author)
ID Bogataj, David (Author) |
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| Files: |  https://www.sciencedirect.com/science/article/pii/S2405896325027971
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| Language: | English |
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| Work type: | Unknown |
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| Typology: | 1.02 - Review Article |
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| Organization: | UAMEU - Alma Mater Europaea University
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| Abstract: | Aging is a complex and dynamic process that, despite its naturalness, represents one of the greatest challenges of modern medicine. With advancing age, factors for the development of numerous chronic diseases appear, such as cardiovascular diseases, diabetes, cancer and dementia. Understanding, monitoring and potentially slowing down these processes is becoming a key task of longevity science. Early detection of changes with aging plays a key role in this, as it allows for timely intervention, more effective treatment, improvement of quality of life and reduction of costs for the healthcare system. An important element of early diagnostics is individualized approaches based on the use of advanced technologies for monitoring biomarkers of aging. In the last decade, we have witnessed the rapid development of systems that use automated, invasive or non-invasive , and often continuous monitoring of various biomarkers . These include wearable devices, microfluidic and " lab -on-a- chip " systems, optical sensors and artificial intelligence that analyze biological data in real time. Such technologies are used to shift from classical reactive medicine to a proactive, personalized approach to health and longevity. The article presents known molecular, cellular and physiological biomarkers of aging, an overview of selected technologies for monitoring biomarkers of aging. We will focus on analyzing their reliability, clinical utility, and the difference between technologies that offer evidence-based value to the user and those that may lead to incorrect interpretations or decisions due to unreliable or misleading data. |
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| Keywords: | biomarkers of aging, monitoring technologies, preventive medicine, artificial intelligence in healthcare, longevity, personalized health interventions |
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| Publication date: | 01.01.2025 |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 272-275 |
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| Numbering: | Vol. 59, issue 27 |
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| PID: | 20.500.12556/ReVIS-12937  |
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| COBISS.SI-ID: | 264784387 |
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| UDC: | 612.67:616-084 |
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| ISSN on article: | 2405-8963 |
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| DOI: | 10.1016/j.ifacol.2025.12.115 |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 15. 1. 2026;
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| Publication date in ReVIS: | 15.01.2026 |
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| Views: | 98 |
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| Downloads: | 0 |
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