AIMC Topic: Aged

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Machine Learning-Driven Identification of Hematological and Immunological Biomarkers for Predicting Proliferative Diabetic Retinopathy Progression.

Current eye research Apr 29, 2025
PURPOSE: Proliferative Diabetic Retinopathy (PDR) is a severe complication of diabetes characterized by neovascularization and retinal detachment, leading to significant vision loss. This study investigates the predictive power of hematological and i...
Humans Male Diabetic Retinopathy Middle Aged Machine Learning Biomarkers Disease Progression Female Cytokines ROC Curve Aged Aqueous Humor Adult Cross-Sectional Studies
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Tumor grade-titude: XGBoost radiomics paves the way for RCC classification.

European journal of radiology Apr 29, 2025
This study aimed to develop and evaluate a non-invasive XGBoost-based machine learning model using radiomic features extracted from pre-treatment CT images to differentiate grade 4 renal cell carcinoma (RCC) from lower-grade tumours. A total of 102 R...
Aged, 80 and over Adult Sensitivity and Specificity Radiomics Male Machine Learning Tomography, X-Ray Computed Female Reproducibility of Results Aged Carcinoma, Renal Cell Boosting Machine Learning Algorithms Middle Aged Contrast Media Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Humans
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A machine learning tool for prediction of vertebral compression fracture following stereotactic body radiation therapy for spinal metastases.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 29, 2025
BACKGROUND AND PURPOSE: The most common adverse event following spine stereotactic body radiotherapy (SBRT) is vertebral compression fracture (VCF). There is interest in the development of patient-specific tools that can predict those at high risk of...
Humans Machine Learning Retrospective Studies Middle Aged Spinal Neoplasms Radiosurgery Spinal Fractures Female Fractures, Compression Risk Factors Aged Aged, 80 and over Male
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Clinical Validation of a Noninvasive Multi-Omics Method for Multicancer Early Detection in Retrospective and Prospective Cohorts.

The Journal of molecular diagnostics : JMD Apr 29, 2025
Recent studies highlight the promise of blood-based multicancer early detection (MCED) tests for identifying asymptomatic patients with cancer. However, most focus on a single cancer hallmark, thus limiting effectiveness because of cancer's heterogen...
Whole Genome Sequencing Humans Algorithms Prospective Studies Middle Aged Retrospective Studies Neoplasms Female Genomics Aged Multiomics Adult Early Detection of Cancer Sensitivity and Specificity Biomarkers, Tumor Male
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Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation.

The international journal of cardiovascular imaging Apr 29, 2025
Real time 2D phase contrast (RTPC) MRI is useful for flow quantification in atrial fibrillation (AF) patients, but data analysis requires time-consuming anatomical contouring for many cardiac time frames. Our goal was to develop a convolutional neura...
Deep Learning Time Factors Magnetic Resonance Imaging Predictive Value of Tests Atrial Fibrillation Heart Atria Heart Rate Image Interpretation, Computer-Assisted Observer Variation Automation Female Reproducibility of Results Aged Male Middle Aged Humans Blood Flow Velocity Atrial Function, Left Magnetic Resonance Imaging, Cine
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Artificial intelligence-assisted left ventricular global longitudinal strain assessment in patients with acute myocardial infarction: a RESUS-AMI trial sub-analysis.

The international journal of cardiovascular imaging Apr 29, 2025
PURPOSE: The aim of this sub-analysis of the RESUS-AMI trial was to evaluate the correlation of artificial intelligence (AI)-assisted echocardiographic global longitudinal strain (GLS) assessments with infarct size, left ventricular ejection fraction...
Stroke Volume Myocardial Contraction Echocardiography Global Longitudinal Strain Middle Aged ST Elevation Myocardial Infarction Treatment Outcome Humans Female Percutaneous Coronary Intervention Predictive Value of Tests Artificial Intelligence Reproducibility of Results Image Interpretation, Computer-Assisted Aged Observer Variation Male Magnetic Resonance Imaging, Cine Ventricular Function, Left
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B lymphocyte subset-based stratification in primary Sjögren's syndrome: implications for lymphoma risk and personalized treatment.

Clinical rheumatology Apr 29, 2025
OBJECTIVE: This study aimed to perform a detailed stratification analysis of B lymphocyte subsets in patients with primary Sjögren's syndrome (pSS) and to investigate their associations with lymphoma risk, clinical phenotypes, and disease activity.
Aged Adult Male Middle Aged Lymphoma Principal Component Analysis Flow Cytometry Sjogren's Syndrome B-Lymphocyte Subsets Immunoglobulin G Precision Medicine Retrospective Studies Female Risk Factors Humans Machine Learning
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Microbiome and fragmentation pattern of blood cell-free DNA and fecal metagenome enhance colorectal cancer micro-dysbiosis and diagnosis analysis: a proof-of-concept study.

mSystems Apr 29, 2025
Colorectal cancer (CRC) is the third most common cancer, and it can be prevented by performing early screening. As a hallmark of cancer, the human microbiome plays important roles in the occurrence and development of CRC. Recently, the blood microbio...
Humans Microbiota Female Proof of Concept Study Metagenome Feces Gastrointestinal Microbiome Aged Dysbiosis Cell-Free Nucleic Acids Adult Adenoma Colorectal Neoplasms Male Middle Aged
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Development and validation of a novel chronic pancreatitis pathological grade based on artificial intelligence.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Apr 29, 2025
BACKGROUND: Effective chronic pancreatitis (CP) treatment requires accurate severity evaluation, but no histopathology grading system exists. This study aimed to develop and validate a novel CP pathological grade (Histopathology-derived CPpG) using q...
Deep Learning Pancreas Pancreatitis, Chronic Aged Adult Humans Male Middle Aged Artificial Intelligence Severity of Illness Index Retrospective Studies Tomography, X-Ray Computed Female
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Intelligent predictive risk assessment and management of sarcopenia in chronic disease patients using machine learning and a web-based tool.

European journal of medical research Apr 29, 2025
BACKGROUND: Individuals with chronic diseases are at higher risk of sarcopenia, and precise prediction is essential for its prevention. This study aims to develop a risk scoring model using longitudinal data to predict the probability of sarcopenia i...
Middle Aged Risk Assessment Female Sarcopenia Humans Risk Factors Chronic Disease Machine Learning Aged Internet Algorithms Adult Retrospective Studies Male
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