AIMC Topic: Case-Control Studies
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Predicting chemo-brain in breast cancer survivors using multiple MRI features and machine-learning.
Magnetic resonance in medicine
Nov 12, 2018
PURPOSE: Breast cancer (BC) is the most common cancer in women worldwide. There exist various advanced chemotherapy drugs for BC; however, chemotherapy drugs may result in brain damage during treatment. When a patient's brain is changed in response t...
The association between serum uric acid to creatinine ratio and renal disease progression in type 2 diabetic patients in Chinese communities.
Journal of diabetes and its complications
Nov 3, 2018
AIMS: Serum uric acid (UA) increases in patients with kidney disease due to the impaired UA clearance. The present study sought to evaluate the association between UA/creatinine ratio (UA/Cr) and renal disease progression in patients with type 2 diab...
Serum adipocytokines are associated with microalbuminuria in patients with type 1 diabetes and incipient chronic complications.
Diabetes & metabolic syndrome
Nov 3, 2018
AIMS: Recent studies have implicated possible contribution of adipocytokines in development and progression of microvascular complications in patients with type 1 diabetes (T1DM). The aim of our study was to investigate relationship between adipocyto...
Circulating betatrophin in relation to metabolic, inflammatory parameters, and oxidative stress in patients with type 2 diabetes mellitus.
Diabetes & metabolic syndrome
Nov 3, 2018
AIMS: Recently, it was suggested that betatrophin has a role in controlling pancreatic β cell proliferation and lipid metabolism, however, its role in human subjects has not been established yet. The predicting role of betatrophin and MDA along with ...
EEG may serve as a biomarker in Huntington's disease using machine learning automatic classification.
Scientific reports
Oct 31, 2018
Reliable markers measuring disease progression in Huntington's disease (HD), before and after disease manifestation, may guide a therapy aimed at slowing or halting disease progression. Quantitative electroencephalography (qEEG) may provide a quantif...
Increased risk of group B Streptococcus causing meningitis in infants with mannose-binding lectin deficiency.
Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
Oct 25, 2018
OBJECTIVES: To evaluate the association of mannose-binding lectin (MBL) deficiency with susceptibility and clinical features of group B Streptococcus (GBS) causing meningitis in Chinese infants.
China
Genotype
Genetic Association Studies
Alleles
Streptococcal Infections
Humans
Adult
Polymorphism, Genetic
Streptococcus agalactiae
Female
Male
Disease Susceptibility
Infant, Newborn
Middle Aged
Mannose-Binding Lectin
Risk Factors
Infant
Meningitis, Bacterial
Young Adult
Case-Control Studies
Metabolism, Inborn Errors
Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms.
Scientific reports
Oct 25, 2018
The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatment of COPD using machine-based learning (ML) algorithms and penalized regression models. In this study, 59 healthy smokers, 53 healthy non-smokers an...
Machine learning multivariate pattern analysis predicts classification of posttraumatic stress disorder and its dissociative subtype: a multimodal neuroimaging approach.
Psychological medicine
Oct 11, 2018
BACKGROUND: The field of psychiatry would benefit significantly from developing objective biomarkers that could facilitate the early identification of heterogeneous subtypes of illness. Critically, although machine learning pattern recognition method...
Multimodal MRI-based classification of migraine: using deep learning convolutional neural network.
Biomedical engineering online
Oct 11, 2018
BACKGROUND: Recently, deep learning technologies have rapidly expanded into medical image analysis, including both disease detection and classification. As far as we know, migraine is a disabling and common neurological disorder, typically characteri...
Artificial Intelligence Applied to Osteoporosis: A Performance Comparison of Machine Learning Algorithms in Predicting Fragility Fractures From MRI Data.
Journal of magnetic resonance imaging : JMRI
Sep 25, 2018
BACKGROUND: A current challenge in osteoporosis is identifying patients at risk of bone fracture.
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