Point-of-Care Testing: Advances and Perspectives
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 36
Special Issue Editors
Interests: point of care testing; smart molecular switch; microfluidics; biomimicking sensors; molecular imaging; chemical education; quantum enhanced biosensing; machine learning
Interests: clinical chemistry; clinical diagnostics; biomarkers; mass spectrometry; point of care testing
Interests: point-of-care diagnostic; biosensor; immunoassay; infectious diseases; supramolecular chemistry; organic synthesis; bioconjugation
Special Issue Information
Dear Colleagues,
Recent years have witnessed remarkable progress in point-of-care testing (POCT) technologies, significantly advancing healthcare by enabling more patient-centered care, reducing turnaround times, and improving clinical decision-making processes. POCT enables accessible, portable, rapid, and cost-effective diagnostics directly at the site of patient care. It has increasingly been employed across various fields, particularly essential in settings requiring rapid diagnostics, including infectious disease management, chronic disease monitoring, emergency care, and remote healthcare delivery.
This Special Issue, "Point-of-Care Testing: Advances and Perspectives", seeks original research articles and comprehensive reviews highlighting innovations and emerging developments in POCT. We invite contributions exploring innovations toward POCT applications, including but not limited to biosensors, microfluidic devices, multiplexing techniques, quantum sensing technologies, and emerging artificial intelligence (AI)-enabled POCT systems. We are particularly interested in research addressing the critical challenges identified for POCT devices, including ease-of-use, portability, robustness, minimal reagent requirements, cost-effectiveness, and integration with telemedicine and healthcare informatics systems. Additionally, this Special Issue seeks articles exploring the application of AI and machine learning algorithms to enhance diagnostic precision, automate data interpretation, and improve the reliability of POCT outcomes. We also welcome cutting-edge research exploring quantum sensing technologies, such as nitrogen-vacancy (NV) centers in diamonds, especially their integration into portable and wearable diagnostic systems. Articles investigating clinical validation and economic assessments of emerging POCT platforms are also encouraged.
We look forward to your valuable contributions and insightful reviews to further enrich this rapidly evolving and impactful field of POCT.
Dr. Hui Chen
Dr. Sheng Feng
Dr. Sungwan Kim
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biosensors is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- point-of-care testing
- microfluidics
- lab-on-a-chip
- molecular diagnostics
- multiplex assays
- infectious diseases
- smart molecular switch
- biosensors
- telemedicine
- clinical validation
- artificial intelligence
- machine learning
- quantum sensing
- quantum biosensors
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