AIMC Topic: Disease Progression

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Metabolic signatures derived from whole-brain MR-spectroscopy identify early tumor progression in high-grade gliomas using machine learning.

Journal of neuro-oncology Aug 24, 2024
PURPOSE: Recurrence for high-grade gliomas is inevitable despite maximal safe resection and adjuvant chemoradiation, and current imaging techniques fall short in predicting future progression. However, we introduce a novel whole-brain magnetic resona...
Humans Middle Aged Female Aged Disease Progression Neoplasm Grading Glioma Machine Learning Magnetic Resonance Spectroscopy Brain Adult Brain Neoplasms Male
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The use of artificial neural networks in studying the progression of glaucoma.

Scientific reports Aug 23, 2024
In ophthalmology, artificial intelligence methods show great promise due to their potential to enhance clinical observations with predictive capabilities and support physicians in diagnosing and treating patients. This paper focuses on modelling glau...
Neural Networks, Computer Glaucoma Humans Disease Progression Deep Learning
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Machine Learning-Based Identification of Risk Factors of Keratoconus Progression Using Raw Corneal Tomography Data.

Cornea Aug 20, 2024
PURPOSE: The purpose of this study was to identify early indicators of keratoconus progression in Pentacam data using machine learning (ML) techniques.
Adult Cornea Male Adolescent ROC Curve Middle Aged Disease Progression Female Risk Factors Keratoconus Young Adult Humans Corneal Topography Machine Learning Tomography Retrospective Studies
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A future of AI-driven personalized care for people with multiple sclerosis.

Frontiers in immunology Aug 19, 2024
Multiple sclerosis (MS) is a devastating immune-mediated disorder of the central nervous system resulting in progressive disability accumulation. As there is no cure available yet for MS, the primary therapeutic objective is to reduce relapses and to...
Disease Progression Precision Medicine Humans Multiple Sclerosis Prognosis Artificial Intelligence Quality of Life Biomarkers
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Machine Learning-based Nomograms for Predicting Clinical Stages of Initial Prostate Cancer: A Multicenter Retrospective Study.

Urology Aug 15, 2024
OBJECTIVE: To construct and externally validate machine learning-based nomograms for predicting progression stages of initial prostate cancer (PCa) using biomarkers and clinicopathologic features.
Neoplasm Staging Neoplasm Grading Retrospective Studies Aged Male Nomograms Prostatic Neoplasms Middle Aged Disease Progression Humans Machine Learning Algorithms
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Machine learning analysis of serum cholesterol's impact on knee osteoarthritis progression.

Scientific reports Aug 14, 2024
The controversy surrounding whether serum total cholesterol is a risk factor for the graded progression of knee osteoarthritis (KOA) has prompted this study to develop an authentic prediction model using a machine learning (ML) algorithm. The objecti...
Osteoarthritis, Knee Risk Factors Aged Cross-Sectional Studies Disease Progression Cholesterol Male Machine Learning Middle Aged Algorithms Female Humans
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Identification and analysis of significant genes in nonalcoholic steatohepatitis-hepatocellular carcinoma transformation: Bioinformatics analysis and machine learning approach.

Molecular immunology Aug 13, 2024
PURPOSE: Nonalcoholic steatohepatitis (NASH) has been an increasingly significant contributor to hepatocellular carcinoma (HCC). Understanding the progression from NASH to HCC is critical to early diagnosis and elucidating the underlying mechanisms.
Prognosis Disease Progression Cell Line, Tumor Humans Machine Learning Computational Biology Gene Expression Regulation, Neoplastic Non-alcoholic Fatty Liver Disease Cell Transformation, Neoplastic Liver Neoplasms Carcinoma, Hepatocellular Single-Cell Analysis Suppressor of Cytokine Signaling Proteins
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From bytes to nephrons: AI's journey in diabetic kidney disease.

Journal of nephrology Aug 12, 2024
Diabetic kidney disease (DKD) is a significant complication of type 2 diabetes, posing a global health risk. Detecting and predicting diabetic kidney disease at an early stage is crucial for timely interventions and improved patient outcomes. Artific...
Disease Progression Machine Learning Humans Diabetes Mellitus, Type 2 Risk Factors Artificial Intelligence Diabetic Nephropathies Risk Assessment
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The application of machine learning methods for predicting the progression of adolescent idiopathic scoliosis: a systematic review.

Biomedical engineering online Aug 8, 2024
Predicting curve progression during the initial visit is pivotal in the disease management of patients with adolescent idiopathic scoliosis (AIS)-identifying patients at high risk of progression is essential for timely and proactive interventions. Bo...
Scoliosis Disease Progression Humans Adolescent Machine Learning
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Contrastive machine learning reveals Parkinson's disease specific features associated with disease severity and progression.

Communications biology Aug 7, 2024
Parkinson's disease (PD) exhibits heterogeneity in terms of symptoms and prognosis, likely due to diverse neuroanatomical alterations. This study employs a contrastive deep learning approach to analyze Magnetic Resonance Imaging (MRI) data from 932 P...
Biomarkers Brain Female Severity of Illness Index Aged Male Deep Learning Humans Magnetic Resonance Imaging Middle Aged Machine Learning Disease Progression Parkinson Disease
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