AIMC Topic: Machine Learning

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A simple and effective approach for body part recognition on CT scans based on projection estimation.

Scientific reports Aug 28, 2025
It is well known that machine learning models require a high amount of annotated data to obtain optimal performance. Labelling Computed Tomography (CT) data can be a particularly challenging task due to its volumetric nature and often missing and/or ...
Machine Learning Algorithms Tomography, X-Ray Computed Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans
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Immune metabolic changes identify causal candidate genes and enable diagnostic frameworks in MAFLD.

Scientific reports Aug 28, 2025
Metabolic dysfunction-associated fatty liver disease (MAFLD), a global epidemic affecting 25% of adults, is driven by immune-metabolic dysregulation, yet the causal mechanisms linking immune cell-specific gene perturbations to disease progression rem...
Animals Male Non-alcoholic Fatty Liver Disease Leukocytes, Mononuclear Single-Cell Analysis Gene Expression Profiling Humans Hepatocytes Mice Transcriptome Machine Learning Diet, High-Fat Genome-Wide Association Study
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A fused weighted federated learning-based adaptive approach for early-stage drug prediction.

Scientific reports Aug 28, 2025
Early accurate drug prediction is crucial in clinical decision support, where privacy of the patient data is a paramount importance. In this study, we introduce a fused weighted adaptive federated learning (FWAFL) framework to achieve joint training ...
Algorithms Federated Learning Humans Neural Networks, Computer Machine Learning
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Fire risk to structures in California's Wildland-Urban Interface.

Nature communications Aug 28, 2025
The destructive impacts of wildfires on people, property and the environment have dramatically increased, especially in the Wildland-Urban Interface (WUI) in California. In these areas structures are threatened by both approaching flames and lofted e...
Humans California Machine Learning Risk Assessment Fires Cities Wildfires
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A comparative analysis of heterogeneity in lung cancer screening effectiveness in two randomised controlled trials.

Nature communications Aug 28, 2025
Clinical trials demonstrate that screening can reduce lung cancer mortality by over 20%. However, lung cancer screening effectiveness (reduction in lung cancer specific mortality) may vary by personal risk-factors. Here we evaluate heterogeneity in l...
Belgium Randomized Controlled Trials as Topic Netherlands Smoking Mass Screening Early Detection of Cancer Female Risk Factors Aged Male Middle Aged Lung Neoplasms Humans Machine Learning
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Machine learning-based penetrance of genetic variants.

Science (New York, N.Y.) Aug 28, 2025
Accurate variant penetrance estimation is crucial for precision medicine. We constructed machine learning (ML) models for 10 diseases using 1,347,298 participants with electronic health records, then applied them to an independent cohort with linked ...
Penetrance Loss of Function Mutation Genetic Variation Exome Humans Machine Learning Precision Medicine Electronic Health Records Genetic Predisposition to Disease
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Generalizing machine learning models from clinical free text.

Scientific reports Aug 28, 2025
To assess strategies for enhancing the generalizability of healthcare artificial intelligence models, we analyzed the impact of preprocessing approaches applied to medical free text, compared single- versus multiple-institution data models, and evalu...
Machine Learning Humans Current Procedural Terminology Neural Networks, Computer
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A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study.

JMIR medical informatics Aug 28, 2025
BACKGROUND: Untreated dental caries is the most common health condition worldwide. Therefore, new strategies need to be developed to reduce the manifestations of dental caries.
Machine Learning Adolescent Algorithms Male Dental Caries Female Risk Assessment Finland Humans Surveys and Questionnaires
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Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material.

PloS one Aug 28, 2025
3D printing has brought significant changes to manufacturing sectors, making it possible to produce intricate, multi-layered designs with greater ease. This study focuses on optimizing the compressive strength (CS) of functionally graded multi-materi...
Machine Learning Polyesters Compressive Strength Printing, Three-Dimensional Polymers Materials Testing
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The critical effects of self-management strategies on predicting cancer survivors' future quality of life and health status using machine learning techniques.

PloS one Aug 28, 2025
Despite the significance of enhancing the quality of life (QoL) and overall health status (including physical, mental, social, and spiritual well-being) among individuals who have survived cancer, the existing prediction model for QoL and health stat...
Humans Cancer Survivors Self-Management Male Middle Aged Female Aged Neoplasms Machine Learning Adult Quality of Life Prospective Studies Health Status
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