Recent Advances in Artificial Intelligence (AI)-Enabled Biosensing Technologies
A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".
Deadline for manuscript submissions: 1 September 2026 | Viewed by 1037
Special Issue Editor
Interests: MEMS, micro/nano sensors, actuators, and systems; microfluidics and lab on a chip; biomedical microdevices and systems; BT-IT; semiconductor chips for life science and healthcare
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue, entitled “Recent Advances in Artificial Intelligence (AI)-Enabled Biosensing Technologies”, is focused on the rapidly expanding interdisciplinary frontier that integrates artificial intelligence with biosensing technologies. This Special Issue’s scope includes, but is not limited to, AI-empowered biosensor design and fabrication, intelligent microfluidics, biosensing data processing, and smart systems, showcasing the transformative impact of AI for the science paradigm on next-generation biosensing technologies. Specifically, it encompasses the following:
- AI-based novel biosensor design methodologies and device implementation, optimization, and application;
- AI-powered biosensor data processing, multimodal fusion, predictive analytics, and insight generation;
- AI-driven adaptive and personalized systems, brain–computer interfaces, and neuromodulation;
- Biosensor-integrated robotic and automated intelligent systems and platform development and application;
- Biosensors integrated with neural network algorithms and/or neuromorphic chips for high-performance biosensing applications;
- Digital microfluidics with AI-based algorithms for intelligent droplet manipulation and applications.
We welcome contributions on AI-driven innovations across various biosensor types (e.g., wearable, implantable, microfluidics, point-of-care biosensors, and robotics) and integrated sensing systems. The emphasis is on leveraging AI to significantly improve performance in sensitivity, specificity, real-time analysis, and adaptability, thereby creating impactful applications in the medical, neuroscience, environmental monitoring, and personal healthcare fields, addressing challenges of global significance.
Prof. Dr. Chengjun Huang
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 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-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
- AI empowered biosensing
- intelligent biosensor design
- predictive analytics
- brain–computer interfaces
- multimodal data fusion
- AI for science
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