AIMC Topic: Aged

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Integrating machine learning and human use experience to identify personalized pharmacotherapy in Traditional Chinese Medicine: a case study on resistant hypertension.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan Feb 1, 2025
OBJECTIVE: To enhance the understanding of identifying personalized pharmacotherapy options in Traditional Chinese Medicine (TCM), and further support the registration of new TCM drugs.
Middle Aged Female Humans Aged Hypertension Drugs, Chinese Herbal Machine Learning Adult Medicine, Chinese Traditional Precision Medicine Male Antihypertensive Agents
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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...
Magnetic Resonance Imaging Parkinson Disease Supervised Machine Learning Gray Matter Humans Aged Male Brain Middle Aged Female Disease Progression
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Machine Learning Accurately Predicts Muscle Invasion of Bladder Cancer Based on Three miRNAs.

Journal of cellular and molecular medicine Feb 1, 2025
The aim of this study was to validate the diagnostic potential of four previously identified miRNAs in two independent cohorts and to develop accurate classification models to predict invasiveness of bladder cancer. Furthermore, molecular subtypes we...
Urinary Bladder Neoplasms Neoplasm Invasiveness MicroRNAs Biomarkers, Tumor Humans Male Machine Learning Middle Aged Female Gene Expression Regulation, Neoplastic Aged
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Identification of Depression Subtypes in Parkinson's Disease Patients via Structural MRI Whole-Brain Radiomics: An Unsupervised Machine Learning Study.

CNS neuroscience & therapeutics Feb 1, 2025
OBJECTIVE: Current clinical evaluation may tend to lack precision in detecting depression in Parkinson's disease (DPD). Radiomics features have gradually shown potential as auxiliary diagnostic tools in identifying and distinguishing different subtyp...
Radiomics Male Middle Aged Depression Magnetic Resonance Imaging Parkinson Disease Unsupervised Machine Learning Humans Brain Female Aged
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Non-Linear Dose-Response Relationship for Metformin in Japanese Patients With Type 2 Diabetes: Analysis of Irregular Longitudinal Data by Interpretable Machine Learning Models.

Pharmacology research & perspectives Feb 1, 2025
The dose-response relationship between metformin and change in hemoglobin A1c (HbA1c) shows a maximum at 1500-2000 mg/day in patients with type 2 diabetes (T2D) in the U.S. In Japan, there is little evidence on the HbA1c-lowering effect of high-dose ...
Humans Dose-Response Relationship, Drug East Asian People Glycated Hemoglobin Japan Middle Aged Metformin Machine Learning Diabetes Mellitus, Type 2 Female Hypoglycemic Agents Aged Longitudinal Studies Male
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Pre-trained convolutional neural network with transfer learning by artificial illustrated images classify power Doppler ultrasound images of rheumatoid arthritis joints.

The Journal of international medical research Feb 1, 2025
OBJECTIVE: To study the classification performance of a pre-trained convolutional neural network (CNN) with transfer learning by artificial joint ultrasonography images in rheumatoid arthritis (RA).
Ultrasonography, Doppler Joints Synovitis Male Middle Aged Convolutional Neural Networks Arthritis, Rheumatoid Female Aged Adult Humans Neural Networks, Computer Retrospective Studies
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Using AI to Select Women with Intermediate Breast Cancer Risk for Breast Screening with MRI.

Radiology Feb 1, 2025
Background Combined mammography and MRI screening is not universally accessible for women with intermediate breast cancer risk due to limited MRI resources. Selecting women for MRI by assessing their mammogram may enable more resource-effective scree...
Magnetic Resonance Imaging Early Detection of Cancer Mammography Breast Adult Breast Neoplasms Middle Aged Risk Assessment Humans Artificial Intelligence Retrospective Studies Female Aged
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Scale to predict risk for refractory septic shock based on a hybrid approach using machine learning and regression modeling.

Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias Feb 1, 2025
OBJECTIVE: To develop a scale to predict refractory septic shock (SS) based on clinical variables recorded during initial evaluations of patients.
Female Aged Male Middle Aged Humans Machine Learning Retrospective Studies Intensive Care Units Emergency Service, Hospital Registries Norepinephrine Risk Assessment ROC Curve Shock, Septic Regression Analysis
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Artificial Intelligence-Based Early Prediction of Acute Respiratory Failure in the Emergency Department Using Biosignal and Clinical Data.

Yonsei medical journal Feb 1, 2025
PURPOSE: Early identification of patients at risk for acute respiratory failure (ARF) could help clinicians devise preventive strategies. Analyzing biosignals with artificial intelligence (AI) can uncover hidden information and variability within tim...
Emergency Service, Hospital Respiratory Insufficiency Neural Networks, Computer Artificial Intelligence Humans Female Adult Aged Male Middle Aged ROC Curve
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Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study.

The Lancet. Digital health Feb 1, 2025
BACKGROUND: Point-of-care ultrasonography (POCUS) enables cardiac imaging at the bedside and in communities but is limited by abbreviated protocols and variation in quality. We aimed to develop and test artificial intelligence (AI) models to screen f...
Artificial Intelligence Retrospective Studies Female Aged Ultrasonography Humans Cardiomyopathy, Hypertrophic Neural Networks, Computer Male Cardiomyopathies Amyloid Neuropathies, Familial Point-of-Care Systems Echocardiography Middle Aged
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