Artificial Intelligence (AI) and Machine Learning (ML) in Biosensors: Innovation, Application, and Challenge

Dear Colleagues,

In recent decades, biosensors have become an indispensable technology in fields such as disease diagnosis, environmental monitoring, and food safety. However, traditional biosensors face challenges in sensitivity, selectivity, and real-time monitoring capabilities. With the rapid development of artificial intelligence (AI) and machine learning (ML) technologies, the field of biosensors has ushered in a revolution. The emergence of AI and ML technologies provides new possibilities for improving the performance of biosensors. By efficiently extracting signal features and accurately distinguishing differences between signals, AI algorithms greatly improve the efficiency of data analysis and can optimize sensor design and performance through large-scale simulation predictions. In addition, the application of AI and ML has provided new ideas for the intelligence and automation of biosensors, promoting the development of biosensor technology to a higher level.

This Special Issue will cover the basic principles and key technologies of AI and ML in biosensors, including deep learning, pattern recognition, and predictive modeling, as well as the application of cases of these technologies in disease diagnosis, treatment monitoring, and patient management. In particular, AI and ML face challenges in biosensors, such as data privacy, model interpretability, and the need for interdisciplinary collaboration. Finally, we will summarize the future development directions of AI and ML in biosensors, including integrating more modalities of data, improving the generalization ability of models, and developing more efficient computing frameworks. This Special Issue will provide a platform for researchers to exchange knowledge of the applications of AI and ML in the field of biosensors, promote interdisciplinary cooperation, and drive the innovation and application of related technologies. We hope that this Special Issue can provide valuable references for researchers in the field of biosensors and stimulate new research ideas.

A wide range of studies addressing these issues is welcome, including both original research and review articles that investigate, but are not limited to, the following topics:

• The application of AI and ML in improving the sensitivity and selectivity of biosensors.
• Utilizing AI and ML for denoising and improving the detection accuracy of biosensor data.
• The role of AI and ML in highly specific recognition, classification, as well as in the detection of biosensors.
• Application of AI and ML algorithms in biosensor networks and multi-sensor data fusion.
• Application of AI and ML in single-molecule bioelectric sensors, and their potential in single-molecule sequencing, low abundance detection, and real-time dynamic monitoring.

Dr. Li Ren
Prof. Dr. Benoît Piro
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 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.

• biosensors
• artificial intelligence
• machine learning
• precision medicine
• biomarkers
• point-of-care testing
• digital health
• smart connected healthcare
• quality assessment and monitoring
• diagnosis and prognosis