Lab-on-Eyeglasses to Monitor Kidneys and Strengthen Vulnerable Populations in Pandemics: Machine Learning in Predicting Serum Creatinine Using Tear Creatinine-Reference-Cited by-同舟云学术

Lab-on-Eyeglasses to Monitor Kidneys and Strengthen Vulnerable Populations in Pandemics: Machine Learning in Predicting Serum Creatinine Using Tear Creatinine

Published:2021-07-21 Issue:30 Volume:93 Page:10661-10671
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Kalasin Surachate¹^ORCID,Sangnuang Pantawan²,Surareungchai Werasak²³

Affiliation:

1. Faculty of Science and Nanoscience & Nanotechnology Graduate Program, King Mongkut’s University of Technology, Thonburi 10140, Thailand

2. Pilot Plant Research and Development Laboratory, King Mongkut’s University of Technology, Thonburi 10150, Thailand

3. School of Bioresource and Technology, King Mongkut’s University of Technology, Thonburi 10150, Thailand

Funder

National Nanotechnology Center

National Research Council of Thailand

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.1c02085

Reference51 articles.

1. Satellite-Based Sensor for Environmental Heat-Stress Sweat Creatinine Monitoring: The Remote Artificial Intelligence-Assisted Epidermal Wearable Sensing for Health Evaluation

2. Emerging Telemedicine Tools for Remote COVID-19 Diagnosis, Monitoring, and Management

3. Dietary Habits and Risk of Kidney Function Decline in an Urban Population

4. Fighting the unbearable lightness of neglecting kidney health: the decade of the kidney

5. Cognitive Impairment in Chronic Kidney Disease

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combining machine learning and metal–organic frameworks research: Novel modeling, performance prediction, and materials discovery;Coordination Chemistry Reviews;2024-09

2. MOF-Based Platform for Kidney Diseases: Advances, Challenges, and Prospects;Pharmaceutics;2024-06-11

3. A flexible capacity-metric creatinine sensor based on polygon-shape polyvinylpyrrolidone/CuO and Fe2O3 NRDs electrodeposited on three-dimensional TiO2–V2O5–Polypyrrole nanocomposite;Biosensors and Bioelectronics;2024-02

4. Trends in sensing of creatinine by electrochemical and optical biosensors;Applied Surface Science Advances;2024-02

5. Clinical Analysis and Detection of Creatinine by Conventional Methods and Electrochemical Biosensors: A Review;IEEE Sensors Journal;2024-01-01