AI powered electrochemical multi-component detection of insulin and glucose in serum.

Zhao, Yuliang; Zhang, Hongyu; Li, Yang; Yu, Xiaodong; Cai, Yi; Sha, Xiaopeng; Wang, Shuyu; Zhan, Zhikun; Xu, Jianghong; Liu, Lianqing.

Afiliação

Zhao Y; School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China.
Zhang H; School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China. Electronic address: zhy6153@163.com.
Li Y; School of Electrical Engineering, Yanshan University at Qinhuangdao, Qinhuangdao, 066004, China.
Yu X; School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China.
Cai Y; School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China.
Sha X; School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China.
Wang S; School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China.
Zhan Z; School of Electrical Engineering, Yanshan University at Qinhuangdao, Qinhuangdao, 066004, China. Electronic address: zkzhan@ysu.edu.cn.
Xu J; Qinhuangdao Hospital of Traditional Chinese Medicine, Qinhuangdao, 066004, China.
Liu L; State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110000, China. Electronic address: lqliu@sia.cn.