The Smart Biosensors Era: AI in Cancer Detection and Imaging

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".

Deadline for manuscript submissions: 30 November 2026 | Viewed by 215

Editors


E-Mail Website
Guest Editor
State Key Laboratory of Bioelectronics, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
Interests: cancer diagnostic technique; disease diagnostic biosensor; in vivo fluorescence/nuclear magnetic imaging; cancer multifunctional therapy
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
State Key Laboratory of Bioelectronics, National Demonstration Center for Experimental Biomedical Engineering Education, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
Interests: microfluidic; lab on a chip; disease diagnostic biosensor; cancer diagnostic technique
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, "The Smart Biosensors Era: AI in Cancer Detection and Imaging," explores the powerful combination of advanced biosensors and artificial intelligence (AI).

Traditional biosensors, while sensitive, often generate complex datasets that are challenging to interpret rapidly and accurately. This Special Issue, "The Smart Biosensors Era: AI in Cancer Detection and Imaging," explores the transformative synergy where machine learning, deep learning, and advanced data analytics are integrated with cutting-edge biosensing platforms. We aim to showcase how this fusion is transcending conventional limits, enabling not only the ultrasensitive detection of circulating biomarkers (such as ctDNA, exosomes, and proteins) but also the intelligent reconstruction and analysis of molecular images for precise tumor delineation.

This Issue will cover a broad spectrum of applications, from AI-enhanced electrochemical sensors and optical imaging probes to smart wearables for continuous monitoring. We invite contributions that highlight novel methodologies, validation studies, and translational research demonstrating how smart biosensors are poised to revolutionize early diagnosis, guide therapeutic interventions, and personalize patient management.

Prof. Dr. Xuemei Wang
Dr. Xiaohui Liu
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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

  • smart biosensors
  • artificial intelligence (AI)
  • cancer detection
  • cancer imaging
  • machine learning
  • point-of-care diagnostics
  • biomarker detection

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Published Papers

This special issue is now open for submission.
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