AIMC Topic: Machine Learning

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Prediction-powered inference for clinical trials: application to linear covariate adjustment.

BMC medical research methodology Aug 29, 2025
Prediction-powered inference (PPI) (Angelopoulos et al., Science 382(6671):669-674, 2023) and its subsequent development called PPI++ (Angelopoulos et al., 2023) provide a novel approach to standard statistical estimation, leveraging machine learning...
Models, Statistical Randomized Controlled Trials as Topic Sample Size Alzheimer Disease Linear Models Algorithms Prognosis Disease Progression Humans Machine Learning
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SamRobNODDI:-space sampling-augmented continuous representation learning for robust and generalized NODDI.

Physics in medicine and biology Aug 29, 2025
. Neurite orientation dispersion and density imaging (NODDI) microstructure estimation from diffusion magnetic resonance imaging (dMRI) is of great significance for the discovery and treatment of various neurological diseases. Current deep learning-b...
Image Processing, Computer-Assisted Humans Neurites Machine Learning Diffusion Magnetic Resonance Imaging
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Integrated single-cell and clinical transcriptomic analysis identifies blunted glycolytic activation as a hallmark of maladaptive repair in renal ischemia-reperfusion.

Renal failure Aug 28, 2025
Acute kidney injury (AKI) is a common and increases risk of chronic kidney disease (CKD). While mitochondrial dysfunction drives maladaptive repair, the role of glycolysis in renal recovery remains unclear. Here, we integrated single-cell transcripto...
Single-Cell Analysis Humans Machine Learning Mice Kidney Transplantation Glycolysis Acute Kidney Injury Reperfusion Injury Male Kidney Female Gene Expression Profiling Animals Transcriptome Renal Insufficiency, Chronic Disease Models, Animal
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Machine learning in predicting preoperative intra-aortic balloon pump use in patients undergoing coronary artery bypass grafting.

Journal of cardiothoracic surgery Aug 28, 2025
BACKGROUND: Intra-aortic balloon pump (IABP) implantation in the perioperative period of cardiac surgery is an auxiliary treatment for cardiogenic shock. However, there is a lack of effective prediction models for preoperative IABP implantation.
Middle Aged ROC Curve Coronary Artery Disease Preoperative Period Coronary Artery Bypass Preoperative Care Risk Factors Aged Male Humans Algorithms Machine Learning Retrospective Studies Female Shock, Cardiogenic Intra-Aortic Balloon Pumping
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Predicting survival factor following suicide attempt in Iran: an ensemble machine learning technique.

BMC psychiatry Aug 28, 2025
BACKGROUND: Suicide represents a significant challenge to public health that calls for a suitable intervention from the healthcare sector. Despite the typically low suicide rate among most Muslim nations, research indicates that there is an increase ...
Iran Adult Male Middle Aged Risk Assessment Suicide, Attempted Longitudinal Studies Machine Learning Female Young Adult Humans
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Mapping interconnectivity of digital twin healthcare research themes through structural topic modeling.

Scientific reports Aug 28, 2025
Digital twin (DT) technology is revolutionizing healthcare systems by leveraging real-time data integration and advanced analytics to enhance patient care, optimize clinical operations, and facilitate simulation. This study aimed to identify key rese...
Computer Security Cloud Computing Machine Learning Algorithms Delivery of Health Care Humans
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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 ...
Humans Imaging, Three-Dimensional Image Processing, Computer-Assisted Machine Learning Algorithms Tomography, X-Ray Computed
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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...
Humans Genome-Wide Association Study Leukocytes, Mononuclear Single-Cell Analysis Machine Learning Mice Gene Expression Profiling Diet, High-Fat Animals Transcriptome Non-alcoholic Fatty Liver Disease Male Hepatocytes
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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 Fires Machine Learning Wildfires Risk Assessment California Cities
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