AIMC Topic: Machine Learning

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Statistical variability in comparing accuracy of neuroimaging based classification models via cross validation.

Scientific reports Aug 6, 2025
Machine learning (ML) has significantly transformed biomedical research, leading to a growing interest in model development to advance classification accuracy in various clinical applications. However, this progress raises essential questions regardi...
Models, Statistical Neuroimaging Humans Machine Learning Reproducibility of Results
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Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study.

JMIR medical informatics Aug 6, 2025
BACKGROUND: Seasonal influenza is a major global public health concern, leading to escalated morbidity and mortality rates. Traditional early warning models rely on binary (0/1) classification methods, which issue alerts only when predefined threshol...
China Influenza, Human Seasons Probability Humans Machine Learning Risk Assessment
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A Machine Learning-Based Prognostication Model Enhances Prediction of Early Hepatic Encephalopathy in Patients With Noncancer-Related Cirrhosis: Multicenter Longitudinal Cohort Study in Taiwan.

JMIR medical informatics Aug 6, 2025
BACKGROUND: Hepatic encephalopathy (HE) contributes significantly to mortality among patients with liver cirrhosis. Early prediction of HE is essential for clinical decision-making, yet remains challenging-particularly in noncancer-related cirrhosis ...
Hepatic Encephalopathy Humans Retrospective Studies Female Machine Learning Aged Adult Liver Cirrhosis Male Longitudinal Studies Prognosis Middle Aged Taiwan
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Circulating epigenetic signatures classifying brain insulin resistance in humans.

Science translational medicine Aug 6, 2025
Brain insulin action plays an important role in metabolic and cognitive health, but there is no biomarker available to assess brain insulin resistance in humans. Here, we developed a machine learning framework based on blood DNA methylation profiles ...
DNA Methylation CpG Islands Adult Male Middle Aged Insulin Resistance Epigenesis, Genetic Machine Learning Brain Female Humans
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Targeting neurodegeneration: three machine learning methods for G9a inhibitors discovery using PubChem and scikit-learn.

Journal of computer-aided molecular design Aug 6, 2025
In light of the increasing interest in G9a's role in neuroscience, three machine learning (ML) models, that are time efficient and cost effective, were developed to support researchers in this area. The models are based on data provided by PubChem an...
Humans Drug Discovery Neurodegenerative Diseases Enzyme Inhibitors Machine Learning Algorithms
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Improved early-stage crop classification using a novel fusion-based machine learning approach with Sentinel-2A and Landsat 8-9 data.

Environmental monitoring and assessment Aug 6, 2025
Crop classification during the early stages is challenging because of the striking similarity in spectral and texture features among various crops. To improve classification accuracy, this study proposes a novel fusion-based deep learning approach. T...
Crops, Agricultural Satellite Imagery Neural Networks, Computer Machine Learning Deep Learning Environmental Monitoring Support Vector Machine
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Machine learning analysis of greenhouse gas sources impacting Africa's food security nexus.

Scientific reports Aug 6, 2025
The essential need to identify the most informative sources of greenhouse gas emissions (climate change drivers) impacting the food security nexus in Africa requires a comprehensive and holistic approach. Machine learning method excels in the identif...
Carbon Dioxide Humans Greenhouse Gases Climate Change Principal Component Analysis Food Security Food Supply Machine Learning Methane Nitrous Oxide Africa
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Advancing fishery dependent and independent habitat assessments using automated image analysis: A fisheries management agency case study.

PloS one Aug 6, 2025
Advances in artificial intelligence and machine learning have revolutionised data analysis, including in the field of marine and fisheries sciences. However, many fisheries agencies manage sensitive or proprietary data that cannot be shared externall...
Artificial Intelligence Machine Learning Animals Western Australia Fisheries Ecosystem Image Processing, Computer-Assisted Conservation of Natural Resources
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Beyond unimodal analysis: Multimodal ensemble learning for enhanced assessment of atherosclerotic disease progression.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 5, 2025
Atherosclerosis is a leading cardiovascular disease typified by fatty streaks accumulating within arterial walls, culminating in potential plaque ruptures and subsequent strokes. Existing clinical risk scores, such as systematic coronary risk estimat...
Humans Machine Learning Female Atherosclerosis Male Carotid Intima-Media Thickness Middle Aged Ensemble Learning Disease Progression
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Predicting Subcutaneous Antibody Bioavailability Using Ensemble Protein Language Models.

Molecular pharmaceutics Aug 5, 2025
Monoclonal antibodies are pivotal in modern therapeutics, yet predicting their subcutaneous bioavailability remains challenging due to the intricacies of the SC environment and the limitations of traditional experimental models. In this study, we int...
Antibodies, Monoclonal Animals Biological Availability Humans Injections, Subcutaneous Machine Learning Support Vector Machine
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