Optical Biosensors for Healthcare: An Artificial Intelligence Approach
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".
Deadline for manuscript submissions: 1 April 2026 | Viewed by 500
Special Issue Editors
Interests: biomedical imaging and sensing; biomedical spectroscopy; hyperspectral imaging; computational optical sensing and imaging; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: fluorescence imaging; computational imaging; fluorescence probes; deep learning
Interests: biosensing and imaging; photoacoustics; Raman spectroscopy; diffuse optics; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advances in healthcare demand innovative technologies that enable rapid, accurate, and personalized diagnoses. Optical biosensors have emerged as a transformative tool, offering high sensitivity, real-time detection, and non-invasive monitoring of biomarkers for various diseases. In recent years, artificial intelligence (AI)-enhanced optical biosensors have grown into a rapidly advancing field, integrating state-of-the-art AI approaches into cutting-edge optical biosensor techniques to improve their performance and benefit outcomes in their healthcare applications. Following these AI advancements, notable progress has been made in optimal biosensor design, improved signal acquisition, transmission, and storage, along with more precise data analyses being instituted to fulfill the growing demand for optical biosensors in healthcare. This Special Issue aims to investigate how AI can redefine optical biosensor techniques to revolutionize healthcare applications, and encourages collaborations between engineers, data scientists, and clinicians to address challenges in this interdisciplinary field. All submissions of original research, reviews, and perspectives in topics related to recent and crucial insights into using AI approaches in optical biosensors for healthcare applications are encouraged and welcome, including, but not limited, to AI-based sensing theory, smart biosensor systems, wearable optical devices, and AI models, as well as their healthcare applications.
Dr. Shuo Chen
Prof. Dr. Min Guo
Dr. Renzhe Bi
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.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 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
- optical biosensors
- healthcare
- machine learning
- deep learning
- Internet of Things
- point-of-care testing
- diagnosis and prognosis
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