AIMC Topic: Disease Progression
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Clinical and Social Characterization of Patients Hospitalized for COPD Exacerbation Using Machine Learning Tools.
Archivos de bronconeumologia
May 1, 2025
OBJECTIVE: This study aims to employ machine learning (ML) tools to cluster patients hospitalized for acute exacerbations of chronic obstructive pulmonary disease (COPD) based on their diverse social and clinical characteristics. This clustering is i...
Machine learning algorithms reveal gut microbiota signatures associated with chronic hepatitis B-related hepatic fibrosis.
World journal of gastroenterology
Apr 28, 2025
BACKGROUND: Hepatic fibrosis (HF) represents a pivotal stage in the progression and potential reversal of cirrhosis, underscoring the importance of early identification and therapeutic intervention to modulate disease trajectory.
Dynamic and Static Structure-Function Coupling With Machine Learning for the Early Detection of Alzheimer's Disease.
Human brain mapping
Apr 1, 2025
The progression of Alzheimer's disease (AD) involves complex changes in brain structure and function that are driven by their interaction, making structure-function coupling (SFC) a valuable indicator for early detection of AD. Static SFC refers to t...
Eye Movement Characteristics for Predicting a Transition to Psychosis: Longitudinal Changes and Implications.
Schizophrenia bulletin
Mar 14, 2025
BACKGROUND AND HYPOTHESIS: Substantive inquiry into the predictive power of eye movement (EM) features for clinical high-risk (CHR) conversion and their longitudinal trajectories is currently sparse. This study aimed to investigate the efficiency of ...
Multimodal Artificial Intelligence Models Predicting Glaucoma Progression Using Electronic Health Records and Retinal Nerve Fiber Layer Scans.
Translational vision science & technology
Mar 3, 2025
PURPOSE: The purpose of this study was to develop models that predict which patients with glaucoma will progress to require surgery, combining structured data from electronic health records (EHRs) and retinal fiber layer optical coherence tomography ...
Deep learning enables automatic detection of joint damage progression in rheumatoid arthritis-model development and external validation.
Rheumatology (Oxford, England)
Mar 1, 2025
OBJECTIVES: Although deep learning has demonstrated substantial potential in automatic quantification of joint damage in RA, evidence for detecting longitudinal changes at an individual patient level is lacking. Here, we introduce and externally vali...
Deep Learning Approaches to Predict Geographic Atrophy Progression Using Three-Dimensional OCT Imaging.
Translational vision science & technology
Feb 3, 2025
PURPOSE: To evaluate the performance of various approaches of processing three-dimensional (3D) optical coherence tomography (OCT) images for deep learning models in predicting area and future growth rate of geographic atrophy (GA) lesions caused by ...
Analysis of Two Neuroanatomical Subtypes of Parkinson's Disease and Their Motor Progression Based on Semi-Supervised Machine Learning.
CNS neuroscience & therapeutics
Feb 1, 2025
BACKGROUND: The high heterogeneity of Parkinson's disease (PD) hinders personalized interventions. Brain structure reflects damage and neuroplasticity and is one of the biological bases of symptomatology. Subtyping PD in the framework of brain struct...
Clinical characteristics, prognosis, and predictive modeling in class IV ± V lupus nephritis.
Frontiers in immunology
Jan 1, 2025
OBJECTIVE: The objective of this study is to compare the clinical features and survival outcomes of class IV ± V lupus nephritis (LN) patients, identify risk factors, and develop an accurate prognostic model.
Identification of regulatory cell death-related genes during MASH progression using bioinformatics analysis and machine learning strategies.
Frontiers in immunology
Jan 1, 2025
BACKGROUND: Metabolic dysfunction-associated steatohepatitis (MASH) is becoming increasingly prevalent. Regulated cell death (RCD) has emerged as a significant disease phenotype and may act as a marker for liver fibrosis. The present study aimed to i...
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