Mpox diagnosis at POC.
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| Název: | Mpox diagnosis at POC. |
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| Autoři: | Yigci D; School of Medicine, Koç University, Istanbul, 34450, Türkiye., Ergönül Ö; Koç University İşbank Center for Infectious Diseases, Istanbul, 34010, Türkiye; Department of Infectious Diseases and Clinical Microbiology, Koç University School of Medicine, Istanbul, 34010, Türkiye., Tasoglu S; Department of Mechanical Engineering, Koç University, Sariyer, Istanbul, 34450, Türkiye; Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul, 34450, Türkiye; Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Istanbul, 34684, Türkiye; Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Istanbul, 34450, Türkiye. Electronic address: stasoglu@ku.edu.tr. |
| Zdroj: | Trends in biotechnology [Trends Biotechnol] 2025 Oct; Vol. 43 (10), pp. 2427-2439. Date of Electronic Publication: 2025 May 19. |
| Způsob vydávání: | Journal Article; Review |
| Jazyk: | English |
| Informace o časopise: | Publisher: Elsevier Science Publishers Country of Publication: England NLM ID: 8310903 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3096 (Electronic) Linking ISSN: 01677799 NLM ISO Abbreviation: Trends Biotechnol Subsets: MEDLINE |
| Imprint Name(s): | Publication: Barking : Elsevier Science Publishers Original Publication: [Amsterdam, Netherlands : Elsevier Science Publishers B.V. (Biomedical Division), c1983- |
| Výrazy ze slovníku MeSH: | Mpox, Monkeypox*/diagnosis , Point-of-Care Systems* , Point-of-Care Testing*, Humans ; Machine Learning ; Deep Learning ; Monkeypox virus/genetics ; Monkeypox virus/isolation & purification |
| Abstrakt: | Competing Interests: Declaration of interests The authors have no interests to declare. The increasing number of Monkeypox (Mpox) cases in non-endemic countries resulted in the WHO declaring a public health emergency of international concern. Accurate and timely diagnosis of Mpox has a critical role in containing the spread of infection. Diagnosis currently relies on PCR, which requires trained personnel and complex laboratory infrastructure. Thus, the development of point-of-care (POC) tools are essential to facilitate rapid, accurate, and user-friendly diagnosis. Here, we review POC diagnostic tools available for Mpox. We also discuss bottlenecks preventing the widespread implementation of POC platforms for Mpox diagnosis and potential strategies to address these limitations. Furthermore, we describe future directions, including the role of machine learning (ML) and deep learning (DL)-based models and the integration of integrated field-deployable platforms for Mpox diagnosis. (Copyright © 2025 Elsevier Ltd. All rights reserved.) |
| Contributed Indexing: | Keywords: diagnostics; monkeypox (Mpox); point-of-care (POC) |
| Entry Date(s): | Date Created: 20250520 Date Completed: 20251002 Latest Revision: 20251003 |
| Update Code: | 20251004 |
| DOI: | 10.1016/j.tibtech.2025.04.015 |
| PMID: | 40393854 |
| Databáze: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstrakt: | Competing Interests: Declaration of interests The authors have no interests to declare.<br />The increasing number of Monkeypox (Mpox) cases in non-endemic countries resulted in the WHO declaring a public health emergency of international concern. Accurate and timely diagnosis of Mpox has a critical role in containing the spread of infection. Diagnosis currently relies on PCR, which requires trained personnel and complex laboratory infrastructure. Thus, the development of point-of-care (POC) tools are essential to facilitate rapid, accurate, and user-friendly diagnosis. Here, we review POC diagnostic tools available for Mpox. We also discuss bottlenecks preventing the widespread implementation of POC platforms for Mpox diagnosis and potential strategies to address these limitations. Furthermore, we describe future directions, including the role of machine learning (ML) and deep learning (DL)-based models and the integration of integrated field-deployable platforms for Mpox diagnosis.<br /> (Copyright © 2025 Elsevier Ltd. All rights reserved.) |
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| ISSN: | 1879-3096 |
| DOI: | 10.1016/j.tibtech.2025.04.015 |