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Zedong Nie

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Articles 25
Citations 106
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Recent Articles
1.
Han Y, Zhang J, Wang W, Zhou K, Yang W, Pan Q, et al.
Diabetes Res Clin Pract . 2025 Mar; 222:112073. PMID: 40023291
Aims: To develop a machine learning model for predicting weight loss response to metformin in Chinese patients with type 2 diabetes. Methods: Data were obtained from three Chinese randomized controlled...
2.
Wang W, Han Y, Jiang X, Shao J, Zhang J, Zhou K, et al.
Diabetes Obes Metab . 2024 Nov; 27(2):953-964. PMID: 39609919
Aims: This study aimed to build a model-based predictive approach to evaluate the gastrointestinal side effects following an initial metformin medication. Materials And Methods: The model was developed from data...
3.
Kandwal A, Dutt S, Liu L, Nie Z, Jasrotia R, Chan C, et al.
Sci Rep . 2024 Oct; 14(1):25716. PMID: 39468173
Nowadays, the operating principle of most of the experimental electromagnetic glucose sensors is based on the effect of an anomalous dispersion caused by a direct contact between an object under...
4.
Zhu Z, Su Y, Chen J, Zhang J, Liang L, Nie Z, et al.
ACS Appl Mater Interfaces . 2024 Oct; PMID: 39359155
Flexible temperature sensors have been widely used in electronic skins and health monitoring. Body temperature as one of the key physiological signals is crucial for detecting human body's abnormalities, which...
5.
Ali M, Li J, Fan B, Nie Z
IEEE J Biomed Health Inform . 2024 Sep; PP. PMID: 39292586
Diabetes is a chronic disease with exponential growth and poses significant challenges to global healthcare. Regular blood glucose (BG) monitoring is key for avoiding diabetic complications. Traditional BG measurement techniques...
6.
Fan B, Li W, Dong L, Li J, Nie Z
Annu Int Conf IEEE Eng Med Biol Soc . 2023 Dec; 2023:1-4. PMID: 38083522
With commercialization of deep learning models, daily precision dietary record based on images from smartphones becomes possible. This study took advantage of Deep-learning techniques on visual recognition tasks and proposed...
7.
Li J, Ma J, Omisore O, Liu Y, Tang H, Ao P, et al.
IEEE Trans Neural Netw Learn Syst . 2023 Jun; 35(10):14491-14505. PMID: 37289613
change of blood glucose (BG) level stimulates the autonomic nervous system leading to variation in both human's electrocardiogram (ECG) and photoplethysmogram (PPG). In this article, we aimed to construct a...
8.
Shao J, Liu Z, Li S, Wu B, Nie Z, Li Y, et al.
J Comput Biol . 2022 Aug; 30(1):112-116. PMID: 35939283
The R package Continuous Glucose Monitoring Time Series Data Analysis (CGMTSA) was developed to facilitate investigations that examine the continuous glucose monitoring (CGM) data as a time series. Accordingly, novel...
9.
Li J, Lu J, Tobore I, Liu Y, Kandwal A, Wang L, et al.
Endocrine . 2022 Jan; 76(1):29-35. PMID: 35066742
Objective: Despite the clinical importance of glycemic variability and hypoglycemia, thus far, there is no consensus on the optimum method for assessing glycemic variability and risk of hypoglycemia simultaneously. Research...
10.
Li J, Tobore I, Liu Y, Kandwal A, Wang L, Nie Z
IEEE J Biomed Health Inform . 2021 Apr; 25(9):3340-3350. PMID: 33848252
Autonomic nervous system (ANS) can maintain homeostasis through the coordination of different organs including heart. The change of blood glucose (BG) level can stimulate the ANS, which will lead to...