Document Type
Article
Publication Date
2026
DOI
10.1016/j.biosx.2025.100728
Publication Title
Biosensors and Bioelectronics: X
Volume
28
Pages
100728
Abstract
Point-of-care (POC) biosensors are undergoing a paradigm shift from isolated diagnostic tools to digitally connected, intelligent platforms that enable continuous and decentralized healthcare delivery. This review critically examines recent advances in wearable, implantable, and portable biosensors, highlighting how integration with wireless communication, the Internet of Medical Things (IoMT), and artificial intelligence is transforming their functionality and clinical utility. Particular attention is given to innovations such as smartphone-enabled interfaces, cloud-based analytics, and machine learning-assisted analysis, which collectively enhance sensitivity, specificity, and user accessibility across diverse healthcare settings, from personalized home monitoring and bedside diagnostics to deployment in resource-limited regions. The review also considers regulatory, ethical, interoperability, and cybersecurity challenges that influence their adoption. By synthesizing recent technological breakthroughs with systemic barriers, this article provides a comprehensive perspective on how connected POC biosensors are redefining the future of biosensing and decentralized healthcare.
Original Publication Citation
Ait Lahcen, A., Rajendran, J., & Slaughter, G. (2026). Advances and challenges in digitally connected point-of-care biosensing. Biosensors and Bioelectronics: X, 28, Article 100728. https://doi.org/10.1016/j.biosx.2025.100728
Repository Citation
Ait Lahcen, A., Rajendran, J., & Slaughter, G. (2026). Advances and challenges in digitally connected point-of-care biosensing. Biosensors and Bioelectronics: X, 28, Article 100728. https://doi.org/10.1016/j.biosx.2025.100728
ORCID
0000-0002-7091-3388 (Lahcen), 0000-0002-4307-091X (Slaughter)
Included in
Artificial Intelligence and Robotics Commons, Biomedical Engineering and Bioengineering Commons, Diagnosis Commons
Comments
© 2025 The Authors.
This is an open access article under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License.
Data availability statement: Article states: "No data was used for the research described in the article."