Point-of-Care Diagnostic Devices for Single-Cell Analysis and Biomarker Detection

Dear Colleagues,

The Special Issue "Point-of-Care Diagnostic Devices for Single-Cell Analysis and Biomarker Detection" presents a comprehensive collection of cutting-edge research at the intersection of biomedical engineering, nanotechnology, and clinical diagnostics. This issue highlights the latest advancements in the development and application of innovative point-of-care (POC) devices tailored for single-cell analysis and rapid biomarker detection.

In the Special Issue, researchers and experts from across the globe share their breakthroughs, methodologies, and insights into the design, fabrication, and deployment of POC diagnostic tools that enable highly sensitive, specific, and real-time analyses of individual cells and molecular markers. The Special Issue showcases the potential of these devices to revolutionize healthcare by offering rapid and accurate diagnostics at the patient's bedside, ultimately leading to improved disease management, personalized therapies, and enhanced clinical decision-making.

Microfluidic Platforms: Highlighting advancements in microfluidic technologies for single-cell manipulation, sorting, and analysis, with a focus on miniaturization, integration, and automation.

Biosensing Strategies: Exploring novel biosensing approaches such as surface plasmon resonance, electrochemical, and optical sensors that enable the rapid and sensitive detection of biomarkers at the single-cell level.

Nanotechnology Applications: Showcasing the use of nanomaterials, nanoparticles, and nanoscale structures for enhancing signal amplification, target recognition, and multiplexed analysis in POC diagnostic devices.

Clinical Case Studies: Presenting real-world applications of POC devices in clinical settings, demonstrating their utility in disease diagnosis, prognosis, and monitoring through single-cell analysis and biomarker detection.

Data Analytics and Integration: Addressing the challenges of data management, analysis, and integration within POC diagnostic platforms, including machine learning and artificial intelligence approaches for interpreting complex datasets.

This Special Issue serves as a valuable resource for researchers, clinicians, and industry professionals engaged in the development and implementation of POC diagnostic devices, shedding light on the transformative potential of these technologies in advancing precision medicine and improving patient outcomes.

Dr. Lawrence Kulinsky
Guest Editor

Dr. Snehan Peshin
Guest Editor Assistant

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. Micromachines 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 2600 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.

• lab-on-a-chip devices
• microfluidic manipulation
• single-cell profiling
• biosensor development
• point-of-care diagnostics
• bioanalytical techniques
• molecular biomarkers
• wearable diagnostics
• data-driven diagnosis
• biomarker identification
• microarray technologies
• point-of-care testing