Advanced Bioelectronics for Healthcare Monitoring and Disease Diagnosis

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensor and Bioelectronic Devices".

Deadline for manuscript submissions: 15 July 2025 | Viewed by 1160

Special Issue Editors


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Guest Editor
Department of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China
Interests: flexible electronics; biosensors; wearable sensors; bioelectronics; flexible materials

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Guest Editor
Department of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China
Interests: epidermal electronics; thermal management; microfluidic; microstructure

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Guest Editor
Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095, USA
Interests: soft electronics; human–machine interfaces; bioelectronics

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Guest Editor
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China
Interests: wearable devices; FET sensor; photoelectrical sensor; nanomaterials

Special Issue Information

Dear Colleagues,

In recent years, the convergence of electronics and biomedical engineering has catalyzed groundbreaking innovations in healthcare. Bioelectronics, a burgeoning field at this intersection, holds immense promise for transforming the landscape of healthcare monitoring and disease diagnosis. By leveraging advancements in flexible electronics, wearable sensors, and nanotechnology, researchers are developing sophisticated tools capable of real-time health monitoring and precise diagnostic capabilities.

This Special Issue aims to explore innovative technologies and methodologies that integrate electronics with biological systems. From flexible and wearable sensors, nanomaterials, and bioimaging to healthcare monitoring, disease diagnosis, and clinical applications, the scope encompasses a diverse array of disciplines and topics, such as flexible electronics, biosensors, nanomaterials, bioimaging technologies, and their clinical applications.

Dr. Xingcan Huang
Dr. Jiyu Li
Dr. Kuanming Yao
Dr. Sancan Han
Guest Editors

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Keywords

  • biomedical engineering
  • flexible electronics
  • wearable sensors
  • biosensors
  • drug delivery
  • electrochemical sensors
  • nanomaterials
  • bioimaging
  • microfluidics
  • biomedical robotics
  • brain–computer interfaces
  • electronic noses
  • photoelectrical sensor
  • FET
  • OCET
  • cancer
  • medicine

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Published Papers (2 papers)

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Research

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12 pages, 3669 KiB  
Article
Distinguishing of Histopathological Staging Features of H-E Stained Human cSCC by Microscopical Multispectral Imaging
by Rujuan Wu, Jiayi Yang, Qi Chen, Changxing Yang, Qianqian Ge, Danni Rui, Huazhong Xiang, Dawei Zhang, Cheng Wang and Xiaoqing Zhao
Biosensors 2024, 14(10), 467; https://doi.org/10.3390/bios14100467 (registering DOI) - 29 Sep 2024
Abstract
Cutaneous squamous cell carcinoma (cSCC) is the second most common malignant skin tumor. Early and precise diagnosis of tumor staging is crucial for long-term outcomes. While pathological diagnosis has traditionally served as the gold standard, the assessment of differentiation levels heavily depends on [...] Read more.
Cutaneous squamous cell carcinoma (cSCC) is the second most common malignant skin tumor. Early and precise diagnosis of tumor staging is crucial for long-term outcomes. While pathological diagnosis has traditionally served as the gold standard, the assessment of differentiation levels heavily depends on subjective judgments. Therefore, how to improve the diagnosis accuracy and objectivity of pathologists has become an urgent problem to be solved. We used multispectral imaging (MSI) to enhance tumor classification. The hematoxylin and eosin (H&E) stained cSCC slides were from Shanghai Ruijin Hospital. Scale-invariant feature transform was applied to multispectral images for image stitching, while the adaptive threshold segmentation method and random forest segmentation method were used for image segmentation, respectively. Synthetic pseudo-color images effectively highlight tissue differences. Quantitative analysis confirms significant variation in the nuclear area between normal and cSCC tissues (p < 0.001), supported by an AUC of 1 in ROC analysis. The AUC within cSCC tissues is 0.57. Further study shows higher nuclear atypia in poorly differentiated cSCC tissues compared to well-differentiated cSCC (p < 0.001), also with an AUC of 1. Lastly, well differentiated cSCC tissues show more and larger keratin pearls. These results have shown that combined MSI with imaging processing techniques will improve H&E stained human cSCC diagnosis accuracy, and it will be well utilized to distinguish histopathological staging features. Full article
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Review

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28 pages, 7558 KiB  
Review
Electrocatalysis in MOF Films for Flexible Electrochemical Sensing: A Comprehensive Review
by Suyuan Zhang, Min Wang, Xusheng Wang, Jun Song and Xue Yang
Biosensors 2024, 14(9), 420; https://doi.org/10.3390/bios14090420 - 28 Aug 2024
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Abstract
Flexible electrochemical sensors can adhere to any bendable surface with conformal contact, enabling continuous data monitoring without compromising the surface’s dynamics. Among various materials that have been explored for flexible electronics, metal–organic frameworks (MOFs) exhibit dynamic responses to physical and chemical signals, offering [...] Read more.
Flexible electrochemical sensors can adhere to any bendable surface with conformal contact, enabling continuous data monitoring without compromising the surface’s dynamics. Among various materials that have been explored for flexible electronics, metal–organic frameworks (MOFs) exhibit dynamic responses to physical and chemical signals, offering new opportunities for flexible electrochemical sensing technologies. This review aims to explore the role of electrocatalysis in MOF films specifically designed for flexible electrochemical sensing applications, with a focus on their design, fabrication techniques, and applications. We systematically categorize the design and fabrication techniques used in preparing MOF films, including in situ growth, layer-by-layer assembly, and polymer-assisted strategies. The implications of MOF-based flexible electrochemical sensors are examined in the context of wearable devices, environmental monitoring, and healthcare diagnostics. Future research is anticipated to shift from traditional microcrystalline powder synthesis to MOF thin-film deposition, which is expected to not only enhance the performance of MOFs in flexible electronics but also improve sensing efficiency and reliability, paving the way for more robust and versatile sensor technologies. Full article
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