Microfluidic Technology and Deep Learning Applied in Biomedical Engineering
A Special Issue of Bioengineering (ISSN 2306-5354) belonging to the section "Biomedical Engineering and Biomaterials".
Deadline for manuscript submissions: 31 March 2027 | Viewed by 26
Editor
Interests: microfluidic technology; biosensing and detection systems; cell migration; organ-on-a-chip; in vitro diagnosis; intelligent image analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Microfluidic technology has transformed biomedical research by offering precise manipulation of fluids and bioparticles at the microscale, enabling high-throughput single-cell analysis, organ-on-a-chip disease modeling and drug screening, and rapid point-of-care diagnostics. Concurrently, deep learning architecture provides powerful capabilities to decode complex biological patterns, automate high-content feature extraction, and process massive multi-dimensional data streams with exceptional accuracy.
This Special Issue is dedicated to highlighting recent advancements in microfluidic technology and deep learning within biomedical engineering. We warmly welcome original research and review articles focused on either field independently, as well as interdisciplinary investigations that synergize both domains to deliver intelligent bio-analytical platforms. Our goal is to bring together researchers across multidisciplinary backgrounds to share novel methodologies, emerging biomedical applications, and critical perspectives that shape the future of medical diagnostics and therapeutic development.
Topics of interest within this Special Issue include, but are not limited to:
- Advanced microfluidic platforms for cell sorting, manipulation, and phenotypic analysis;
- Organ-on-a-chip and disease models for physiological simulation;
- Point-of-care testing (POCT) biosensors and systems;
- Deep neural network architectures for cell image analysis;
- AI-driven microfluidic design, numerical simulation, and flow optimization;
- Automated systems for high-throughput drug screening.
Dr. Jiandong Wu
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering 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.
Keywords
- microfluidics
- deep learning
- organ-on-a-chip
- cell analysis
- point-of-care diagnostics
- cell image processing
- high-throughput drug screening
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