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From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine
Prostate cancer is the most common cancer in men worldwide and has a high mortality rate. The complex and heterogeneous de...
Identification method of thyroid nodule ultrasonography based on self-supervised learning dual-branch attention learning framework
Identification method of thyroid nodule ultrasonography based on self-supervised learning dual-branch attention learning framework
Thyroid ultrasound is a widely used diagnostic technique for thyroid nodules in clinical practice. However, due to the cha...
MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis
MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis
Cardiovascular disease management often involves adjusting medication dosage based on changes in electrocardiogram (ECG) s...
A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery
A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery
The purpose of this work is to analyse the combined impacts of birth weight and nutritional status on development and reco...
Enhanced performance of EEG-based brain–computer interfaces by joint sample and feature importance assessment
Enhanced performance of EEG-based brain–computer interfaces by joint sample and feature importance assessment
Electroencephalograph (EEG) has been a reliable data source for building brain–computer interface (BCI) systems; how...
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration
Cancer is one of the most deadly diseases in the world. Accurate cancer subtype classification is critical for patient dia...
Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification
Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification
In the brain-computer interface (BCI), motor imagery (MI) could be defined as the Electroencephalogram (EEG) signals throu...
Hierarchical classification of early microscopic lung nodule based on cascade network
Hierarchical classification of early microscopic lung nodule based on cascade network
Early-stage lung cancer is typically characterized clinically by the presence of isolated lung nodules. Thousands of cases...
Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation
Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation
Advances in computer science in combination with the next-generation sequencing have introduced a new era in biology, enab...
Mdpg: a novel multi-disease diagnosis prediction method based on patient knowledge graphs
Mdpg: a novel multi-disease diagnosis prediction method based on patient knowledge graphs
Diagnosis prediction, a key factor in enhancing healthcare efficiency, remains a focal point in clinical decision support ...
Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer’s disease on routinely acquired T1-weighted imaging-based brain network
Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer’s disease on routinely acquired T1-weighted imaging-based brain network
Radiomics-based morphological brain networks (radMBN) constructed from routinely acquired structural MRI (sMRI) data have ...
Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data
Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data
Pulmonary Embolism (PE) is a life-threatening clinical disease with no specific clinical symptoms and Computed Tomography ...
Identification of cancer driver genes based on hierarchical weak consensus model
Identification of cancer driver genes based on hierarchical weak consensus model
Cancer is a complex gene mutation disease that derives from the accumulation of mutations during somatic cell evolution. W...
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
The main aim of our study was to explore the utility of artificial intelligence (AI) in diagnosing autism spectrum disorde...
Autism spectrum disorder detection with kNN imputer and machine learning classifiers via questionnaire mode of screening
Autism spectrum disorder detection with kNN imputer and machine learning classifiers via questionnaire mode of screening
Autism spectrum disorder (ASD) is a neurodevelopmental disorder. ASD cannot be fully cured, but early-stage diagnosis foll...
Analyzing and identifying predictable time range for stress prediction based on chaos theory and deep learning
Analyzing and identifying predictable time range for stress prediction based on chaos theory and deep learning
Stress is a common problem globally. Prediction of stress in advance could help people take effective measures to manage s...
Optimised deep k-nearest neighbour’s based diabetic retinopathy diagnosis(ODeep-NN) using retinal images
Optimised deep k-nearest neighbour’s based diabetic retinopathy diagnosis(ODeep-NN) using retinal images
Diabetes mellitus has been regarded as one of the prime health issues in present days, which can often lead to diabetic re...
Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN
Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN
The utilization of lung sounds to diagnose lung diseases using respiratory sound features has significantly increased in t...
Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging
Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging
In the field of biomedical science, blood cell detection in microscopic images is crucial for aiding physicians in diagnos...
Deep-kidney: an effective deep learning framework for chronic kidney disease prediction
Deep-kidney: an effective deep learning framework for chronic kidney disease prediction
Chronic kidney disease (CKD) is one of today’s most serious illnesses. Because this disease usually does not manifes...
Viewpoint-invariant exercise repetition counting
Viewpoint-invariant exercise repetition counting
Counting the repetition of human exercise and physical rehabilitation is common in rehabilitation and exercise training. T...
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning
Cardiovascular disease (CVDs) has become one of the leading causes of death, posing a significant threat to human life. Th...
CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection
CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection
As medical treatments continue to advance rapidly, minimally invasive surgery (MIS) has found extensive applications acros...
Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches
Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches
The most prevalent malignant illness of the gastrointestinal system, colorectal cancer, is the third most prevalent cancer...
Automated lead toxicity prediction using computational modelling framework
Automated lead toxicity prediction using computational modelling framework
Lead, an environmental toxicant, accounts for 0.6% of the global burden of disease, with the highest burden in developing&...
Essential proteins discovery based on dominance relationship and neighborhood similarity centrality
Essential proteins discovery based on dominance relationship and neighborhood similarity centrality
Essential proteins play a vital role in development and reproduction of cells. The identification of essential proteins he...
Interrelated feature selection from health surveys using domain knowledge graph
Interrelated feature selection from health surveys using domain knowledge graph
Finding patterns among risk factors and chronic illness can suggest similar causes, provide guidance to improve healthy li...
Predicting drug–drug interactions based on multi-view and multichannel attention deep learning
Predicting drug–drug interactions based on multi-view and multichannel attention deep learning
Predicting drug-drug interactions (DDIs) has become a major concern in the drug research field because it helps explore th...
Liver fibrosis MR images classification based on higher-order interaction and sample distribution rebalancing
Liver fibrosis MR images classification based on higher-order interaction and sample distribution rebalancing
The fractal features of liver fibrosis MR images exhibit an irregular fragmented distribution, and the diffuse feature dis...
ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder
ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder
Attention Deficit Hyperactivity Disorder (ADHD) is a widespread condition that affects human behaviour and can interfere w...
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