Topic Editors
Sustainable Point-of-Care Diagnostics for Early Oral Cancer Detection
Topic Information
Dear Colleagues,
The increasing trends in global burden of oral cancer, particularly in low- and middle-income countries, underscores the urgent need for fast, sustainable, and cost-effective diagnostic solutions that can be deployed at the point of care (POC) to identify and treat patients rapidly with minimal intervention.
This research topic invites interdisciplinary contributions focused on biomarkers with clinical translational potential for early oral cancer detection, emphasizing accessibility for underserved and lower socioeconomic populations. We encourage studies that explore non-invasive (e.g., saliva, brush cytology, imaging, etc.), or minimally invasive (e.g., blood, needle aspiration, curette/punch biopsies, etc.) sampling methods for biomarkers that can be detected cost-effectively using user-friendly and robust platforms. Preference is given to biomarkers that minimize reliance on artificial intelligence (AI), positioning it as an optional enhancer rather than a core requirement to mitigate against overdependence on complex computational infrastructure, ensure diagnostic resilience in low-resource settings, and promote broader adoption in contexts whereby digital literacy, data privacy, or technological access may be limited. Instead, this topic advocates for the repurposing of existing technologies and the reinvestigation of previously overlooked or underutilized biomarkers through new scientific and contextual lenses. Sustainability is a key pillar of this topic, encompassing not only environmental considerations (e.g., biodegradable materials, low-energy devices, miniaturisation) but also long-term affordability and ease of integration into existing healthcare infrastructures.
We welcome research that bridges molecular biology, clinical chemistry, biosensing, engineering, and implementation science to create diagnostics that are not only scientifically rigorous but also culturally and logistically adaptable. Studies that include multicohort validations, community engagement, or health systems integration are particularly encouraged. By fostering innovation grounded in equity and pragmatism, this topic aims to catalyse the development of POC tools that democratize oral cancer detection and ultimately reduce global health disparities. We look forward to receiving contributions.
Prof. Dr. Muy-Teck Teh
Prof. Dr. Dipak Sapkota
Dr. Tami Yap
Topic Editors
Keywords
- point-of-care diagnostics
- early oral cancer detection
- non-invasive
- minimally invasive
- cancer biomarkers
- diagnostic imaging
- translational research
- cost-effective diagnostics
- cancer screening
- risk stratification
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
Biomedicines
|
3.9 | 6.8 | 2013 | 17 Days | CHF 2600 | Submit |
Cancers
|
4.4 | 8.8 | 2009 | 20.3 Days | CHF 2900 | Submit |
Diagnostics
|
3.3 | 5.9 | 2011 | 21 Days | CHF 2600 | Submit |
Journal of Clinical Medicine
|
2.9 | 5.2 | 2012 | 17.7 Days | CHF 2600 | Submit |
Oral
|
1.1 | - | 2021 | 23.3 Days | CHF 1200 | Submit |
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