AI/ML-Enabled 2-D - RuS2 Nanomaterial-Based Multifunctional, Low Cost, Wearable Sensor Platform for Non-Invasive Point of Care Diagnostics

2020 ◽  
Vol 20 (15) ◽  
pp. 8437-8444 ◽  
Author(s):  
Sushmitha Veeralingam ◽  
Shivam Khandelwal ◽  
Sushmee Badhulika
2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yehe Liu ◽  
Andrew M. Rollins ◽  
Richard M. Levenson ◽  
Farzad Fereidouni ◽  
Michael W. Jenkins

AbstractSmartphone microscopes can be useful tools for a broad range of imaging applications. This manuscript demonstrates the first practical implementation of Microscopy with Ultraviolet Surface Excitation (MUSE) in a compact smartphone microscope called Pocket MUSE, resulting in a remarkably effective design. Fabricated with parts from consumer electronics that are readily available at low cost, the small optical module attaches directly over the rear lens in a smartphone. It enables high-quality multichannel fluorescence microscopy with submicron resolution over a 10× equivalent field of view. In addition to the novel optical configuration, Pocket MUSE is compatible with a series of simple, portable, and user-friendly sample preparation strategies that can be directly implemented for various microscopy applications for point-of-care diagnostics, at-home health monitoring, plant biology, STEM education, environmental studies, etc.


2021 ◽  
Author(s):  
Zongxiu Nie ◽  
Yuze Li ◽  
Lixia Jiang ◽  
Zhenpeng Wang ◽  
Xiaohua Cao ◽  
...  

Abstract The diagnosis of bladder cancer (BC) is currently based on cystoscopy, which is invasive and expensive. Here, we described a non-invasive, low-cost BC diagnosis method based on a desorption, separation, and ionization mass spectrometry platform (DSI-MS) that adopts N, N- Dimethylethylenediamine (DMED) as a differential labeling reagent. The DSI-MS platform avoids the interferences from intra- and/or inter-samples, while the DMED increases detection sensitivity and distinguishes carboxyl, aldehyde, and ketone groups from untreated samples. Carbonyl metabolic fingerprints of urine from 28 BC patients and 38 controls were portrayed and significant differences of some potential biomarkers were observed. The mechanisms of the changes have been discussed. Logistic regression (LR) was applied to discriminate BC from controls and an accuracy of 87% was achieved. We believe this patient-friendly method provides a hopeful approach for BC rapid point-of-care diagnostic.


Author(s):  
Vijay K. Varadan

This talk is aimed at presenting novel solutions developed recently by the author’s group for many neurological disorders including Parkinson’s disease, Alzheimer’s disease, depression, anxiety, sleep apnea and sleep disorders using the fundamental research and developments in nanotechnologies and wireless sensor network. Point-of-care (POC) diagnostics promises to bring diagnostic testing out of the laboratory directly to patients and the general public wherever they may be. The key to POC diagnostics is capable of bringing immediate answers so that health care professionals can make rapid and accurate diagnosis of disease so as to ensure the effectiveness of therapy and early detection for preventive therapy. Selected movies illustrating the applications of both invasive and non-invasive wireless nanosensor systems to patients and surgical procedures will be shown at the talk.


2020 ◽  
Vol 150 ◽  
pp. 111956
Author(s):  
Andrew Lakey ◽  
Zulfiqur Ali ◽  
Simon M. Scott ◽  
Syrine Chebil ◽  
Hafsa Korri-Youssoufi ◽  
...  

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