Nanostructured Metal Oxide-Based Electrochemical Biosensors in Medical Diagnosis [PDF]
Nanostructured metal oxides (NMOs) provide electrical properties such as high surface-to-volume ratio, reaction activity, and good adsorption strength. Furthermore, they serve as a conductive substrate for the immobilization of biomolecules, exhibiting ...
Gulsu Keles +4 more
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CRISPR-Based Biosensors for Medical Diagnosis: Readout from Detector-Dependence Detection Toward Naked Eye Detection [PDF]
The detection of biomarkers (such as DNA, RNA, and protein) plays a vital role in medical diagnosis. The CRISPR-based biosensors utilize the CRISPR/Cas system for biometric recognition of targets and use biosensor strategy to read out biological signals ...
Kai Hu +6 more
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On The Potential of Image Moments for Medical Diagnosis [PDF]
Medical imaging is widely used for diagnosis and postoperative or post-therapy monitoring. The ever-increasing number of images produced has encouraged the introduction of automated methods to assist doctors or pathologists.
Cecilia Di Ruberto +2 more
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Objective. The current study aimed to compare the characteristics of chromosome abnormalities detected by conventional G-banding karyotyping, chromosome microarray analysis (CMA), or fluorescence in situ hybridization (FISH)/CNVplex analysis and further ...
Jin Wang +9 more
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Ground Contact Time Estimating Wearable Sensor to Measure Spatio-Temporal Aspects of Gait
Inpatient gait analysis is an essential part of rehabilitation for foot amputees and includes the ground contact time (GCT) difference of both legs as an essential component. Doctors communicate improvement advice to patients regarding their gait pattern
Severin Bernhart +3 more
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Dynamically switchable magnetic resonance imaging contrast agents
Contrast agents can improve the sensitivity and resolution of magnetic resonance imaging (MRI) by accelerating the relaxation times of surrounding water protons.
Qiyue Wang +5 more
doaj +1 more source
Intelligent medical assistant diagnosis method based on data fusion
In the field of medicine, in order to diagnose a patient’s condition more efficiently and conveniently, image classification has been widely leveraged.
Tao-hong ZHANG +3 more
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Wrapper-Based Feature Selection for Medical Diagnosis: The BTLBO-KNN Algorithm
Medical diagnosis research has recently focused on feature selection techniques due to the availability of multiple variables in medical datasets. Wrapper-based feature selection approaches have shown promise in providing faster and more cost-effective ...
Fateh Seghir +3 more
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The Next Generation of Medical Decision Support: A Roadmap Toward Transparent Expert Companions
Increasing quality and performance of artificial intelligence (AI) in general and machine learning (ML) in particular is followed by a wider use of these approaches in everyday life.
Sebastian Bruckert +2 more
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Medical Diagnosis and Life Span of Sufferer Using Interval Valued Complex Fuzzy Relations
Fuzzy set theory resolved the crux of modeling uncertainty, vagueness, and imprecision. Many researchers have contributed to the development of the theory. This paper intends to define the innovative concept of the interval valued complex fuzzy relations
Abdul Nasir +3 more
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