AIMC Topic: Humans

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Diagnostic Value of Median Nerve Cross-sectional Area Measured by Ultrasonography for the Severity of Carpal Tunnel Syndrome: A Machine Learning-Based Approach.

American journal of physical medicine & rehabilitation Feb 3, 2025
OBJECTIVE: This study was conducted to evaluate the diagnostic performance and to establish cutoff values of median nerve cross-sectional area for classifying the severity of carpal tunnel syndrome.
Median Nerve Carpal Tunnel Syndrome Sensitivity and Specificity Male Middle Aged Severity of Illness Index Ultrasonography ROC Curve Female Aged Adult Humans Machine Learning
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Machine learning-based screening and molecular simulations for discovering novel PARP-1 inhibitors targeting DNA repair mechanisms for breast cancer therapy.

Molecular diversity Feb 3, 2025
Cancer remains one of the leading causes of death worldwide, with the rising incidence of breast cancer being a significant public health concern. Poly (ADP-ribose) polymerase-1 (PARP-1) has emerged as a promising therapeutic target for breast cancer...
Machine Learning Female Breast Neoplasms Humans Molecular Docking Simulation Poly(ADP-ribose) Polymerase Inhibitors Molecular Dynamics Simulation Drug Discovery DNA Repair Poly (ADP-Ribose) Polymerase-1 Antineoplastic Agents
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Radiomics Analysis of Different Machine Learning Models based on Multiparametric MRI to Identify Benign and Malignant Testicular Lesions.

Academic radiology Feb 3, 2025
RATIONALE AND OBJECTIVES: To develop and validate a machine learning-based prediction model for the use of multiparametric magnetic resonance imaging(MRI) to predict benign and malignant lesions in the testis.
Sensitivity and Specificity Radiomics Male Aged Young Adult Adult Testicular Neoplasms Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Middle Aged Adolescent Contrast Media Humans Machine Learning Retrospective Studies Multiparametric Magnetic Resonance Imaging
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Automated contouring for breast cancer radiotherapy in the isocentric lateral decubitus position: a neural network-based solution for enhanced precision and efficiency.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Feb 3, 2025
BACKGROUND: Adjuvant radiotherapy is essential for reducing local recurrence and improving survival in breast cancer patients, but it carries a risk of ischemic cardiac toxicity, which increases with heart exposure. The isocentric lateral decubitus p...
Patient Positioning Mastectomy, Segmental Middle Aged Radiotherapy Planning, Computer-Assisted Radiotherapy, Adjuvant Algorithms Tomography, X-Ray Computed Female Aged Adult Breast Neoplasms Humans Neural Networks, Computer
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A Multi-View Feature-Based Interpretable Deep Learning Framework for Drug-Drug Interaction Prediction.

Interdisciplinary sciences, computational life sciences Feb 3, 2025
Drug-drug interactions (DDIs) can result in deleterious consequences when patients take multiple medications simultaneously, emphasizing the critical need for accurate DDI prediction. Computational methods for DDI prediction have garnered recent atte...
Neural Networks, Computer Deep Learning Drug Interactions Humans
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Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks.

Neural networks : the official journal of the International Neural Network Society Feb 3, 2025
Semi-supervised learning with a graph-based approach has become increasingly popular in machine learning, particularly when dealing with situations where labeling data is a costly process. Graph Convolution Networks (GCNs) have been widely employed i...
Deep Learning Humans Neural Networks, Computer Supervised Machine Learning Algorithms
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A machine learning model using clinical notes to estimate PHQ-9 symptom severity scores in depressed patients.

Journal of affective disorders Feb 3, 2025
BACKGROUND: Lack of widespread use of the Patient Health Questionnaire 9-item (PHQ-9) in clinical practice inhibits measurement of treatment follow-up for patients with major depressive disorder (MDD). This study developed, validated and applied a ma...
Depressive Disorder, Major Machine Learning Severity of Illness Index Humans Adult Patient Health Questionnaire Electronic Health Records Male Female Middle Aged
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Machine Learning-Based CT Radiomics Model to Predict the Risk of Hip Fragility Fracture.

Academic radiology Feb 3, 2025
RATIONALE AND OBJECTIVES: This research aimed to develop a combined model based on proximal femur attenuation values and radiomics features at routine CT to predict hip fragility fracture using machine learning methods.
Hip Fractures Humans Middle Aged Risk Assessment Machine Learning Radiographic Image Interpretation, Computer-Assisted Female Aged, 80 and over Tomography, X-Ray Computed Risk Factors Radiomics Aged Male
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Self-Supervised Image Segmentation Using Meta-Learning and Multi-Backbone Feature Fusion.

International journal of neural systems Feb 3, 2025
Few-shot segmentation (FSS) aims to reduce the need for manual annotation, which is both expensive and time-consuming. While FSS enhances model generalization to new concepts with only limited test samples, it still relies on a substantial amount of ...
Algorithms Image Processing, Computer-Assisted Supervised Machine Learning Humans Neural Networks, Computer
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Machine Learning for Prediction of Drug Concentrations: Application and Challenges.

Clinical pharmacology and therapeutics Feb 3, 2025
With the advancements in algorithms and increased accessibility of multi-source data, machine learning in pharmacokinetics is gaining interest. This review summarizes studies on machine learning-based pharmacokinetics analysis up to September 2024, i...
Humans Neural Networks, Computer Machine Learning Algorithms Pharmacokinetics Pharmaceutical Preparations Models, Biological
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