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Wearable Biosensors towards Medical Diagnosis

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Sheng Zhang

Sheng Zhang

Zhejiang University, Ningbo Research Institute

Prof. Dr. Sheng Zhang currently works as a research fellow and specially appointed professor at Ningbo Research Institute, Zhejiang University (China). In 2016, he received PhD from the University of Twente (the Netherlands). His past research positions include Researcher at Harvard Medical School (USA), Collaborator at Brigham and Women's Hospital (USA), Specially appointed Researcher at Tokai University (Japan), Research Assistant at the University of Tokyo (Japan). In the past five years, more than fifty papers have been published in SCI international journals, e.g., Matter, Advanced Functional Materials, Coordination Chemistry Reviews, Colloids, and Surface B: Biointerfaces, International Journal of Solids and Structures, Friction, etc. approximately thirty papers are recognized as first author or corresponding author, and eleven papers are published in top journals. He is being invited to peer-review manuscripts by several SCI international journals. Participated in many international conferences and was invited to be the keynote speaker. Participated in completing the EU project, and one submitted a patent in Japan. His research areas and main achievements are Wearable sensors, Biosensors, Bio-Tribology, Haptics, Biomimetics, Surface Texture Design, and other interdisciplinary subjects.

Collection Overview

Recently, major breakthroughs have been made in the research field of wearable biosensors, making them widely used in many bio applications. As an interdisciplinary field study, wearable sensor contributes to many aspects of our daily life. For example, medical diagnosis is one of the practical applications that can be benefited by wearable biosensors, which can assess precise health diagnosis. Medical practitioners need safer, cheaper, and more customized health diagnosis options for patients. The wearable biosensor is one of the possible solutions since it is portable for health monitoring, well-being surveillance, early symptom detection, chronic disease surveillance, etc.

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2024

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