AIMC Topic: Machine Learning

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Machine-learning approach to atrial fibrillation prediction among individuals without prior cardiovascular diseases.

Open heart Aug 22, 2025
BACKGROUND: There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior cardiovascular diseases (CVDs) to facilitate early intervention. This study aimed to develop and validate an AF prediction model using ma...
Adult Male Middle Aged Risk Assessment Sweden Risk Factors Aged Atrial Fibrillation Incidence Follow-Up Studies Predictive Value of Tests Humans Prognosis Female Machine Learning Biomarkers
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Prediction of 1-Year Activity in Systemic Lupus Erythematosus: Hierarchical Machine Learning Approach.

JMIR formative research Aug 22, 2025
BACKGROUND: Systemic lupus erythematosus (SLE) is a chronic disease characterized by a broad spectrum of involved organs, including neurological, renal, and vascular domains, with disease activity manifesting through unpredictable patterns that vary ...
Humans Machine Learning Retrospective Studies Female Male Lupus Erythematosus, Systemic Hospitalization Middle Aged Italy Adult
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TomoGRAF: An X-ray physics-driven generative radiance field framework for extremely sparse view CT reconstruction.

PloS one Aug 22, 2025
OBJECTIVES: Computed tomography (CT) provides high spatial-resolution visualization of 3D structures for various applications. Traditional analytical/iterative CT reconstruction algorithms require hundreds of angular samplings, a condition may not be...
X-Rays Humans Machine Learning Algorithms Image Processing, Computer-Assisted Phantoms, Imaging Tomography, X-Ray Computed Imaging, Three-Dimensional
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Unveiling the hidden burden of COVID-19 in Brazil's obstetric population with severe acute respiratory syndrome: A machine learning model.

PloS one Aug 22, 2025
OBJECTIVE: To predict the actual number of COVID-19 cases in Brazilian pregnant and postpartum women diagnosed with Severe Acute Respiratory Syndrome using a predictive model created based on data from Brazilian database.
COVID-19 Pregnancy Female SARS-CoV-2 Humans Machine Learning Brazil Postpartum Period Pregnancy Complications, Infectious Severe Acute Respiratory Syndrome Young Adult Adult Cross-Sectional Studies
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Artificial intelligence model for predicting early biochemical recurrence of prostate cancer after robotic-assisted radical prostatectomy.

Scientific reports Aug 21, 2025
Prostate cancer remains a significant public health concern, with a substantial proportion of patients experiencing biochemical recurrence (BCR) after radical prostatectomy (RP). Traditional risk models, such as CAPRA-S, have demonstrated moderate pr...
Male Humans Neoplasm Recurrence, Local Prognosis Artificial Intelligence Prostatectomy Retrospective Studies Prostate-Specific Antigen Middle Aged Machine Learning Prostatic Neoplasms Robotic Surgical Procedures Aged
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Image-based honey bee larval viral and bacterial diagnosis using machine learning.

Scientific reports Aug 21, 2025
Honey bees are essential pollinators of ecosystems and agriculture worldwide. With an estimated 50-80% of crops pollinated by honey bees, they generate approximately $20 billion annually in market value in the U.S. alone. However, commercial beekeepe...
Bees Virus Diseases Machine Learning Animals Larva
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CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer.

Cancer imaging : the official publication of the International Cancer Imaging Society Aug 21, 2025
BACKGROUND: Accurate preoperative assessment of occult lymph node metastasis (OLNM) plays a crucial role in informing therapeutic decision-making for lung cancer patients. Computed tomography (CT) is the most widely used imaging modality for preopera...
Lymphatic Metastasis Lung Neoplasms Lymph Nodes Nomograms Humans Machine Learning Aged Radiomics Male Middle Aged Retrospective Studies Tomography, X-Ray Computed Female
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GNODEVAE: a graph-based ODE-VAE enhances clustering for single-cell data.

BMC genomics Aug 21, 2025
BACKGROUND: Single-cell RNA sequencing analysis faces critical challenges including high dimensionality, sparsity, and complex topological relationships between cells. Current methods struggle to simultaneously preserve global structure, model cellul...
Software Algorithms Single-Cell Analysis Cluster Analysis Computational Biology Sequence Analysis, RNA Humans Neural Networks, Computer Machine Learning
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Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysis.

Scientific reports Aug 21, 2025
The accurate classification of obesity is essential for public health and clinical decision-making. Traditional anthropometric measures such as body mass index (BMI) have limitations in differentiating between fat and lean mass. This study aimed to e...
Humans ROC Curve Body Mass Index Obesity Adult Cross-Sectional Studies Anthropometry Machine Learning Male Electric Impedance Body Composition Algorithms Middle Aged Female Supervised Machine Learning
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Systematic selection of best performing mathematical models for in vitro gas production using machine learning across diverse feeds.

Scientific reports Aug 21, 2025
In vitro gas production (GP) is commonly used to evaluate ruminant feed, yet its accurate interpretation requires robust mathematical modeling. This study systematically explores a wide array of nonlinear models to explain GP dynamics across various ...
Gases Ruminants Bayes Theorem Models, Biological Animal Feed Machine Learning Animals Models, Theoretical
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