Nan Jiang

Dr. Nan Jiang

West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 October 2016 in Advanced Materials
Verified
Journal Article
Open access
PDF file
JGJingjing Guo
Jingjing Guo
XLXinyue Liu
Xinyue Liu
Nan JiangNan Jiang
Nan Jiang
AYAli K. Yetisen
Ali K. Yetisen
HYHyunwoo Yuk
Hyunwoo Yuk
SYSeok‐Hyun Yun
Seok‐Hyun Yun
A core‐clad fiber made of elastic, tough hydrogels is highly stretchable while guiding light. Fluorescent dyes are easily doped into the hydrogel fiber by diffusion. When stretched, the transmission spectrum of the fiber is altered, enabling the strain to be measured and also its location.

21 October 2018 in Advanced Materials
Verified
Journal Article
Closed access
PDF file
GYGuo‐Liang Ying
Guo‐Liang Ying
Nan JiangNan Jiang
Nan Jiang
SMSushila Maharjan
Sushila Maharjan
YYYi‐Xia Yin
Yi‐Xia Yin
RCRong‐Rong Chai
Rong‐Rong Chai
Yu Shrike ZhangYu Shrike Zhang
Yu Shrike Zhang

13 February 2017 in Advanced Materials
Verified
Journal Article
Open access
PDF file
AYAli K. Yetisen
Ali K. Yetisen
Nan JiangNan Jiang
Nan Jiang
AFAfsoon Fallahi
Afsoon Fallahi
YMYunuen Montelongo
Yunuen Montelongo
GRGuillermo U. Ruiz‐Esparza
Guillermo U. Ruiz‐Esparza
SYSeok‐Hyun Yun
Seok‐Hyun Yun
Hydrogel optical fibers are utilized for continuous glucose sensing in real time. The hydrogel fibers consist of poly(acrylamide-co-poly(ethylene glycol) diacrylate) cores functionalized with phenylboronic acid. The complexation of the phenylboronic acid and cis-diol groups of glucose enables reversible changes of the hydrogel fiber diameter. The analyses of light propagation loss allow for quantitative glucose measurements within the physiological range.

21 October 2022 in Biosensors and Bioelectronics
Verified
Journal Article
Open access
YZYihan Zhang
Yihan Zhang
YHYubing Hu
Yubing Hu
Nan JiangNan Jiang
Nan Jiang
AYAli K. Yetisen
Ali K. Yetisen
The demand for high-quality healthcare and well-being services is remarkably increasing due to the ageing global population and modern lifestyles. Recently, the integration of wearables and artificial intelligence (AI) has attracted extensive academic and technological attention for its powerful high-dimensional data processing of wearable biosensing networks. This work reviews the recent developments in AI-assisted wearable biosensing devices in disease diagnostics and fatigue monitoring demonstrating the trend towards personalised medicine with highly efficient, cost-effective, and accurate point-of-care diagnosis by finding hidden patterns in biosensing data and detecting abnormalities. The reliability of adaptive learning and synthetic data and data privacy still need further investigation to realise personalised medicine in the next decade. Due to the worldwide popularity of smartphones, they have been utilised for sensor readout, wireless data transfer, data processing and storage, result display, and cloud server communication leading to the development of smartphone-based biosensing systems. The recent advances have demonstrated a promising future for the healthcare system because of the increasing data processing power, transfer efficiency and storage capacity and diversifying functionalities.

16 November 2018 in Bio-Design and Manufacturing
Verified
Journal Article
Closed access
PDF file
GYGuoliang Ying
Guoliang Ying
Nan JiangNan Jiang
Nan Jiang
CYCunjiang Yu
Cunjiang Yu
Yu Shrike ZhangYu Shrike Zhang
Yu Shrike Zhang

13 May 2019 in Advanced Healthcare Materials
Verified
Journal Article
Closed access
PDF file
Nan JiangNan Jiang
Nan Jiang
RARajib Ahmed
Rajib Ahmed
MDMylon Damayantharan
Mylon Damayantharan
BÜBarış Ünal
Barış Ünal
HBHaider Butt
Haider Butt
AYAli K. Yetisen
Ali K. Yetisen