AIMC Topic: Case-Control Studies
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Identification of potential genomic biomarkers for Parkinson's disease using data pooling of gene expression microarrays.
Biomarkers in medicine
May 14, 2021
In this study, we aimed to identify potential diagnostic biomarkers Parkinson's disease (PD) by exploring microarray gene expression data of PD patients. Differentially expressed genes associated with PD were screened from the GSE99039 dataset usin...
Red blood cell phenotyping from 3D confocal images using artificial neural networks.
PLoS computational biology
May 13, 2021
The investigation of cell shapes mostly relies on the manual classification of 2D images, causing a subjective and time consuming evaluation based on a portion of the cell surface. We present a dual-stage neural network architecture for analyzing fin...
Prediction of preterm birth based on machine learning using bacterial risk score in cervicovaginal fluid.
American journal of reproductive immunology (New York, N.Y. : 1989)
May 10, 2021
PROBLEM: Preterm birth (PTB) is a major cause of increased morbidity and mortality in newborns. The main cause of spontaneous PTB (sPTB) is the activation of an inflammatory response as a result of ascending genital tract infection. Despite various s...
Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times.
BMC medical imaging
May 8, 2021
BACKGROUND: Functional lung MRI techniques are usually associated with time-consuming post-processing, where manual lung segmentation represents the most cumbersome part. The aim of this study was to investigate whether deep learning-based segmentati...
Multitask fMRI and machine learning approach improve prediction of differential brain activity pattern in patients with insomnia disorder.
Scientific reports
Apr 30, 2021
We investigated the differential spatial covariance pattern of blood oxygen level-dependent (BOLD) responses to single-task and multitask functional magnetic resonance imaging (fMRI) between patients with psychophysiological insomnia (PI) and healthy...
Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography.
Scientific reports
Apr 29, 2021
This cross-sectional study aimed to build a deep learning model for detecting neovascular age-related macular degeneration (AMD) and to distinguish retinal angiomatous proliferation (RAP) from polypoidal choroidal vasculopathy (PCV) using a convoluti...
Prediction of Multiple sclerosis disease using machine learning classifiers: a comparative study.
Journal of preventive medicine and hygiene
Apr 29, 2021
INTRODUCTION: Hamedan Province is one of Iran's high-risk regions for Multiple Sclerosis (MS). Early diagnosis of MS based on an accurate system can control the disease. The aim of this study was to compare the performance of four machine learning te...
Diagnosis of Alzheimer's Disease by Time-Dependent Power Spectrum Descriptors and Convolutional Neural Network Using EEG Signal.
Computational and mathematical methods in medicine
Apr 23, 2021
Using strategies that obtain biomarkers where early symptoms coincide, the early detection of Alzheimer's disease and its complications is essential. Electroencephalogram is a technology that allows thousands of neurons with equal spatial orientation...
Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques.
Disease markers
Apr 22, 2021
Reverse Transcription Polymerase Chain Reaction (RT-PCR) used for diagnosing COVID-19 has been found to give low detection rate during early stages of infection. Radiological analysis of CT images has given higher prediction rate when compared to RT-...
Triage-driven diagnosis of Barrett's esophagus for early detection of esophageal adenocarcinoma using deep learning.
Nature medicine
Apr 15, 2021
Deep learning methods have been shown to achieve excellent performance on diagnostic tasks, but how to optimally combine them with expert knowledge and existing clinical decision pathways is still an open challenge. This question is particularly impo...
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