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Biomedical Engineering and Computational Biology
ISSN 1179-5972 · SAGE Publishing · 152 artikel di indeks
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Artikel Jurnal
Scalable HMO-CNN-SVM Framework for Skin Lesion Classification: A Metaheuristic-Driven Approach With Parallelizable Optimization for Cluster Deployment
In medical image analysis, accurate skin lesion categorization is still a major difficulty particularly under limited data conditions and computational complexity. For automated skin cancer detection, in this work we present a scalable hybrid model combining a Convolutional Neural Network (CNN)…
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Artikel Jurnal
Development of a Unified Cardiovascular-Pupillary Model for Interpreting Pupil Size Variability as an Autonomic Marker
Background: Pupil size variability (PSV) has emerged as a potential non-contact indicator of autonomic nervous system (ANS) function; however, its physiological origins remain unclear. This study aims to develop a computational model to investigate the physiological foundations of PSV and assess…
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Optimized High- Resolution Network for Accurate Facial Wrinkle Detection Using Harbor Seal Whiskers Optimization
Background Automated facial wrinkle detection is relevant to facial-ageing assessment, cosmetic analysis, dermatological screening, and personalized skincare. However, wrinkles are thin, low-contrast, and spatially irregular structures whose appearance may be affected by illumination, pose, skin…
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Development of a Diagnostic Tool for Elbow Instability Combining 4D-CT Imaging and Mechanical Load Analysis
Background Diagnosis of elbow instability in clinical practice commonly relies on manual stress testing by the physician with or without combination of fluoroscopy or ultrasound, which may result in variable force application and subjective interpretation. A standardized method for applying…
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Attention-Enhanced Hybrid Bidirectional LSTM and Temporal Convolutional Network for Early Detection of Lung Cancer in Low-Dose CT Scans
Objectives We developed and evaluated a lightweight, interpretable, and computationally efficient hybrid deep learning model for multiclass classification of early lung cancer in low-dose CT scans, potentially deployable in resource-limited healthcare environments. Methods A novel hybrid…
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A Scoping Review of Machine Learning-Based Prediction of Alzheimer’s Disease Using Blood Biomarkers
Background Alzheimer’s disease (AD) is a progressive neurodegenerative disorder of late life that causes cognitive and functional decline and substantial mortality. Machine learning (ML) is increasingly used to discover patterns in clinical and biomarker data that support earlier and more accurate…
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BioMem-FWK4α: A Fractional Windkessel–Constant Phase Framework for Analog Simulation and Frequency-Domain Interpretation of Biological Ion Channels
Background Classical integer-order membrane and bioelectrical circuit models are useful for idealized ion-channel behavior, but they often fail to reproduce the distributed relaxation, power-law impedance, depressed Nyquist arcs, and memory-dependent phase dispersion observed in biological…
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MnL–TWA: Manifold Learning Approach for T–Wave Alternans Detection in Ambulatory Environments
Background T-wave alternans (TWA) refers to variations in the ventricular repolarization pattern observed on the ECG, which has been associated with cardiac instability and an increased risk of sudden cardiac death. Recently, machine learning (ML) methods have been developed for TWA detection, but…
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Opportunities and Limitations of Online and Web-Based Survey Data Collection for Evidence-Based Policymaking
In an increasingly digital and fast-paced policy environment, the rise of online and web-based survey methods offers significant potential for strengthening evidence-based policymaking. This commentary critically explores the methodological opportunities and inherent limitations of these digital…
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Fluid-Structure Interaction Analysis of Hyoid Bone-Induced Compression on Carotid Artery Hemodynamics
The carotid bifurcation plays a crucial role in cerebral perfusion, and its hemodynamic behavior is influenced by external factors, including interactions with surrounding anatomical structures. This study investigates the impact of hyoid bone-induced compression on carotid artery hemodynamics…
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AI-Based Computational Model Integrating Routinely Acquired Blood Parameters for Triage and Early Detection of Acute Myeloid Leukemia
Background Acute Myelogenous Leukemia (AML) is a rapidly progressing blood and bone marrow cancer, prevalent among adults. Very low five-year survival rate, non-specific and ambiguous symptoms, and lack of potent screenings make early detection and prompt treatment crucial, especially for younger…
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Computational Screening of Microbial Metabolites as Erythropoietin (EPO) Mimetics for the Treatment of Anemia
Anemia remains a critical global health burden, often driven by impaired erythropoietin (EPO) signaling, which reduces red blood cell production. While recombinant EPO therapy is effective, its high cost and associated safety concerns limit its accessibility. This study explores microbial…
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Evaluation of Mindful Breathing Method Using Tablet Devices Through Chaos Analysis and Frequency Analysis: A Pilot Randomized Controlled Trial
Introduction: University students face various stresses, including academic and career anxieties and a lack of interpersonal relationships. These stresses can elevate psychological burdens, negatively affecting their studies and daily lives. Objective: This pilot study aims to quantitatively…
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Mechanistic Elucidation of Liujun Jiaoxian Tang in Management of Sepsis Through Metabolomics and Network Pharmacology
Objective This study was aimed to investigate the blood composition and potential mechanism of Liujun Jiaoxian Tang (LJJXT) for treating sepsis. Methods After drug intervention in rats, the main active components in LJJXT liquid and serum were identified by UPLC-QE-MS analysis. The effective…
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Entropy as a Tool for Quantifying Biomedical Signals: Gaps and Opportunities in Clinical Methodological Approaches—A Scoping Review
In biomedical and engineering research, entropy metrics have become well-established tools for assessing the complexity of dynamic and physiological systems. This scoping review examines the relationship between information theory quantifiers (ITQs), bioelectrical signals, and time series, and the…
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Leveraging Clinical Data for Early Heart Disease Prediction: A Machine Learning Approach With Interpretability Analysis
Background: Heart disease remains one of the leading causes of mortality worldwide, highlighting the need for early and accurate diagnosis to support effective prevention and treatment strategies. Methods: This study presents a machine-learning-based approach for predicting heart disease using…
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Automated Lesion Segmentation in Medical Imaging via Integration of nnU-Net Optimization and SAM Approach
Background: Deep learning has transformed medical imaging by enabling earlier and more accurate disease diagnosis. Lesion and tumor segmentation, essential for analyzing and tracking morphological changes, is commonly done with U-Net variants, though these often lack cross-domain generalization and…
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Blind Identification of Altered Functional Subnetworks in Alzheimer’s Disease Using Resting-State fMRI
Introduction: Resting-state functional magnetic resonance imaging (rs-fMRI) is widely used to examine functional connectivity (FC) alterations in neurological disorders such as Alzheimer’s disease (AD). Traditional studies either employ whole-brain analyses or focus on specific regions, yet the…
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Medical Digital Twin Technology for Interoperability: Challenges and Opportunities
Digital twins (DT) technology has shown considerable growth in recent years. Previous studies have examined technologies in a variety of areas, including health care. However, limited studies have attempted to provide a thorough discussion of strategies for the seamless integration of DT into…
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Functionally Graded Lattice (FGL) Models for Predicting the Mechanical Properties of Femur Spongy Bone
Background: The cancellous tissue forming the inner layer of long bones is highly porous at the center, with porosity decreasing toward the outer layer, leading to gradual variations in mechanical properties. Hence, cancellous tissue can be regarded as a functionally graded material (FGM). This…