Min Zhao
7 Papers
Min Zhao is an academic researcher. The author has contributed to research in topics: Medicine & Wearable computer. The author has an hindex of 2, co-authored 3 publications.
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Papers
Wearable electronics for skin wound monitoring and healing
Shubham Patel,Faheem Ershad,Min Zhao,Roslyn Rivkah Isseroff,Bin Duan,Yubin Zhou,Yong Wang,Cunjiang Yu +7 more
TL;DR: This review briefly discusses the wound status with some objective parameters/biomarkers influencing wound healing, followed by the presentation of various novel wearable devices used for monitoring wounds and accelerating wound healing.
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A system for bioelectronic delivery of treatment directed toward wound healing.
Prabhat Baniya,Maryam Tebyani,Narges Asefifeyzabadi,Tiffany Nguyen,Cristian Hernandez,Kan Zhu,Houpu Li,John Selberg,Hao-Chieh Hsieh,Pattawong Pansodtee,Hsin-Ya Yang,Cynthia Recendez,Gordon Keller,Wan Shen Hee,Elham Aslankoohi,Roslyn Rivkah Isseroff,Min Zhao,Marcella Gomez,Marco Rolandi,Mircea Teodorescu +19 more
TL;DR: A wearable bioelectronic system comprised of a polydimethylsiloxane (PDMS) device cast in customizable 3D printed molds and a printed circuit board (PCB), which employs commercially available engineering components and tools throughout design and fabrication is presented.
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Quantifying innervation facilitated by deep learning in wound healing
Abijeet Singh Mehta,Samaneh Teymoori,Cynthia Recendez,Daniel R. Fregoso,Anthony Gallegos,Hsin-ya Yang,Roslyn Rivkah Isseroff,Min Zhao,Marcella M. Gomez +8 more
TL;DR: In this article , the authors employed the state-of-the-art deep neural network, DnCNN, to perform pre-processing and effectively reduce the noise in the immunohistochemistry images.
Deep learning classification for macrophage subtypes through cell migratory pattern analysis
Manasa Kesapragada,Yao-Hui Sun,Ksenia Zlobina,Cynthia Recendez,Daniel R. Fregoso,Hsin-ya Yang,Elham Aslankoohi,Rivkah Isseroff,Marco Rolandi,Min Zhao,Marcella Gomez +10 more
TL;DR: A deep learning model is developed to explore the potential of classifying macrophage subtypes based solely on raw trajectory patterns, which suggests the possibility of identifying macrophage subtypes without relying on shape analysis.
Drawn-on-Skin Sensors from Fully Biocompatible Inks toward High-Quality Electrophysiology.
Shubham Patel,Faheem Ershad,Jimmy Lee,Lourdes Chacon-Alberty,YiFan Wang,Marco A. Morales-Garza,Arturo Haces-Garcia,Seonmin Jang,Lei Gonzalez,Luis Contreras,Aman Agarwal,Zhoulyu Rao,Grace Liu,Igor R. Efimov,Yu Shrike Zhang,Min Zhao,Roslyn Rivkah Isseroff,Alamgir Karim,Abdelmotagaly Elgalad,Weihong Zhu,Xiaoyang Wu,Cunjiang Yu +21 more
TL;DR: This is the first fully biocompatible, on-skin fabricated electronics for multiple cell types and tissues that can capture electrophysiological signals with high fidelity and retains its properties under various writing conditions, which minimizes the variation in electrical performance.