Mpox diagnosis at POC.

Journal: Trends in biotechnology
Published Date: May 19, 2025

Abstract

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.

Authors

  • Defne Yigci
    Department of Mechanical Engineering, Koç University, Istanbul, Türkiye.
  • Önder Ergönül
    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.
  • Savas Tasoglu
    Department of Mechanical Engineering, Koç University, Sariyer, Istanbul, 34450 Turkey. stasoglu@ku.edu.tr and Koç University Research Center for Translational Medicine, Koç University, Sariyer, Istanbul, 34450 Turkey and Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Sariyer, Istanbul, 34450 Turkey and Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Çengelköy, Istanbul, 34684 Turkey.

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