AI/ML-Enabled Biosensing: Shaping the Future of Disease Detection

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Nano- and Micro-Technologies in Biosensors".

Deadline for manuscript submissions: 15 June 2026 | Viewed by 2

Special Issue Editor


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Guest Editor
1. Centro De Investigaciones Biomédicas (CINBIO), Universidade de Vigo, 36310 Vigo, Spain
2. Department of Biotechnology, School of Engineering and Applied Sciences, Bennett University, Greater Noida, UP, India
Interests: microfluidic bio-sensing; point-of-care diagnostics; microfluidic devices; lab-on-chip and molecular biosensing
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Special Issue Information

Dear Colleagues,

This Special Issue, “AI/ML-Enabled Biosensing: Shaping the Future of Disease Detection,” critically examines the convergence of biosensor technologies with artificial intelligence (AI) and machine learning (ML) to revolutionize the field of diagnostic science. Traditional diagnostic approaches often face limitations in sensitivity, speed, and accessibility. Emerging digital biosensors—ranging from electrochemical and optical platforms to wearable and implantable devices—offer real-time, high-throughput detection of clinically relevant biomarkers from minimally invasive samples.

When coupled with AI/ML algorithms, these systems enable advanced signal processing, noise reduction, pattern recognition, and predictive analytics, dramatically enhancing diagnostic accuracy and decision support. This Special Issue highlights interdisciplinary innovations across material science, microfluidics, data science, and clinical medicine that are driving this field forward.

Key topics include AI-integrated point-of-care devices, adaptive biosensor platforms, cloud-based diagnostics, and data privacy and security in digital health. Contributions critically address both the transformative potential and the current challenges, such as standardization, validation, and the interpretability of ML models, as well as regulatory hurdles.

By bringing together research at the interface of biosensing technology and computational intelligence, this issue aims to map a strategic path for deploying smart, accessible, and personalized diagnostic tools that will redefine early disease detection and management in the coming decade.

The scope includes, but is not limited to, the following areas:

  1. AI/ML-Integrated Biosensing Systems
    – Development of biosensors enhanced by machine learning for signal processing, classification, and predictive diagnostics.
  2. Smart and Wearable Biosensors
    – Design and application of wearable, implantable, and point-of-care biosensors for real-time, continuous health monitoring.
  3. Microfluidics and Lab-on-a-Chip Devices
    – Integration of biosensors with microfluidic platforms for multiplexed, high-sensitivity disease detection in miniaturized formats.
  4. Computational Modeling and Diagnostic Algorithms
    – Application of deep learning, neural networks, and federated learning to analyze biosensor data and generate diagnostic insights.
  5. Clinical Applications and Case Studies
    – Use of digital biosensing and AI tools in detecting infectious diseases, cancer, neurological disorders, metabolic diseases, and more.

Dr. Krishna Kant
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 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

  • microfluidic sensing
  • electrochemical bio-sensing
  • point-of-care diagnostics
  • precision diagnostics
  • plasmonic sensing
  • microfluidic devices
  • lab-on-chip

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Published Papers

This special issue is now open for submission.
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