Computational Design of MOF-Based Electronic Noses for Dilute Gas Species Detection: Application to Kidney Disease Detection

ACS Sensors ◽  
2021 ◽  
Author(s):  
Brian A. Day ◽  
Christopher E. Wilmer
Keyword(s):  
Kidney Disease ◽  
Computational Design ◽  
Disease Detection ◽  
Species Detection ◽  
Electronic Noses ◽  
Dilute Gas

scholarly journals Urine headspace analysis with field asymmetric ion mobility spectrometry for detection of chronic kidney disease

2020 ◽  
Vol 14 (8) ◽  
pp. 629-638
Author(s):  
Elina Jokiniitty ◽  
Lauri Hokkinen ◽  
Pekka Kumpulainen ◽  
Yrjö Leskinen ◽  
Terho Lehtimäki ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Function ◽  
Ion Mobility Spectrometry ◽  
Ion Mobility ◽  
Headspace Analysis ◽  
Diagnostic Tools ◽  
Electronic Noses ◽  
Volatile Organic ◽  
Preliminary Study

Electronic noses (eNoses) are an emerging class of experimental diagnostic tools. They are based on the detection of volatile organic compounds. Urine is used as sample medium in several publications but neither the effect of chronic kidney disease (CKD) on the analysis nor the potential to detect CKD has been explored. Materials & methods: We utilized an eNose based on field asymmetric ion mobility spectrometry (FAIMS) technology to classify urine samples from CKD patients and controls. Results: We were able to differentiate extremes of kidney function with an accuracy of 81.4%. Conclusion: In this preliminary study, applying eNose technology we were able to distinguish the patients with impaired kidney function from those with normal kidney function.

Kidney disease detection and segmentation using artificial neural network and multi-kernel k-means clustering for ultrasound images

Measurement ◽  
2020 ◽  
Vol 149 ◽  
pp. 106952 ◽  
Author(s):  
A. Nithya ◽  
Ahilan Appathurai ◽  
N. Venkatadri ◽  
D.R. Ramji ◽  
C. Anna Palagan
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Kidney Disease ◽  
Disease Detection ◽  
Ultrasound Images ◽  
Artificial Neural

Subclinical atheromatous disease detection improves cardiovascular event prediction in chronic kidney disease with and without diabetes

2018 ◽  
Author(s):  
Ana Palanca ◽  
Esmeralda Castelblanco ◽  
Angels Betriu ◽  
Jose M Valdivielso ◽  
Hector Perpinan ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Cardiovascular Event ◽  
Disease Detection ◽  
Event Prediction

scholarly journals KHA-CARI Guideline: Early chronic kidney disease: Detection, prevention and management

Nephrology ◽  
2013 ◽  
Vol 18 (5) ◽  
pp. 340-350 ◽  
Author(s):  
David W Johnson ◽  
Emelia Atai ◽  
Maria Chan ◽  
Richard KS Phoon ◽  
Clodagh Scott ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Disease Detection
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