Biosensors for Early Cancer Diagnostics and Biomarker Detection
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 82
Special Issue Editor
Interests: identifying novel biomarkers for the early detection of prostate cancer; urological diseases; molecular biology and histology; biophysical and mathematical; biosensing in multidisciplinary framework
Special Issue Information
Dear Colleagues,
Amidst the growing focus on healthcare alongside improving living standards, the timely and non-intrusive identification of illnesses becomes increasingly crucial. It is known that biomarkers play a key role in medical diagnosis and treatment. Unfortunately, the lack of standardized protocols for analytical investigations, sample collection, and storage impedes the discovery and validation of biomarkers. In this context, chemiluminescent, colorimetric, and electrochemical biosensors have emerged as promising substitutes for conventional laboratory blood analyses, offering advantages such as non-invasiveness, sensitivity, and real-time capabilities. Moreover, these biosensors provide a valuable means for monitoring specific biomarkers in biofluids like sweat, urine, tears, and saliva. It is known that biosensors can generate large amounts of data at the time of diagnosis and may require complex processing algorithms to generate results, including artificial intelligence-based algorithms. Biosensors have emerged as potential tools in the early detection of both primary and metastatic cancers. In addition, there is an urgent need to develop biosensing platforms for early cancer diagnosis that are low-cost, non-invasive, accurate, less time-consuming, and can be used at the point of care. It is evident that the majority of related research is presently in the basic research stage. The emphasis of future research should shift towards the early clinical application of biosensors, progressing from basic research to achieve enhanced stability, increased throughput, miniaturization, and eventual commercialization.
The objective of this Special Issue is to encourage authors to contribute original research articles, brief reports, meta-analyses, or reviews that encompass various facets of biosensor applications in early cancer diagnostics and biomarker detection. We invite submissions that explore novel methodologies and elucidate progress in biosensing systems for diagnostics across diverse domains and biomarker discovery.
Dr. Gianluigi Taverna
Guest Editor
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.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- urology
- prostate
- cancer
- biomarkers
- diagnosis
- histopathology
- models
- fractal geometry
- quantitative methods
