AIMC Topic: Machine Learning

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Identification of plasma proteins associated with seizures in epilepsy: A consensus machine learning approach.

PloS one Jul 1, 2025
Blood-based biomarkers in epilepsy could constitute important research tools advancing neurobiological understanding and valuable clinical tools for better diagnosis and follow-up. An interesting question is whether biomarker patterns could contribut...
Female Young Adult Adult Male Humans Machine Learning Biomarkers Epilepsy Seizures Middle Aged Proteomics Blood Proteins
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Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept study.

PloS one Jul 1, 2025
BACKGROUND: Acute kidney injury (AKI) and acute kidney disease (AKD) are frequent complications of hospitalization, resulting in reduced outcomes and increased cost burden. However, these conditions are only sometimes recognized and promptly treated....
Middle Aged Proof of Concept Study Aged Adult Male Machine Learning Female Acute Kidney Injury Humans Algorithms Electronic Health Records Hospitalization Retrospective Studies
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ERRα-Predictor: A Framework of Ensemble Models for Prediction of ERRα Binders, Antagonists, and Agonists Using Artificial Intelligence.

Journal of chemical information and modeling Jun 30, 2025
Estrogen-related receptor α (ERRα) is considered a promising target for the treatment of cancer and metabolic diseases. The development of comprehensive predictive models for ERRα binders, antagonists, and agonists is of significant importance. In th...
Humans Protein Binding Ligands Receptors, Estrogen ERRalpha Estrogen-Related Receptor Neural Networks, Computer Artificial Intelligence Machine Learning
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Machine Learning-Based Prediction of Clinical Outcomes in Patients With Cancer Receiving Systemic Treatment Using Step Count Data Measured With Smartphones.

JCO clinical cancer informatics Jun 30, 2025
PURPOSE: This study aimed to investigate whether changes in step count, measured using patients' own smartphones, could predict a clinical adverse event in the upcoming week in patients undergoing systemic anticancer treatments using machine learning...
Prognosis Female Neoplasms Hospitalization Exercise Smartphone Aged Humans Male Machine Learning Middle Aged Prospective Studies
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Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation.

JMIR medical informatics Jun 30, 2025
BACKGROUND: Evidence-based medicine combines scientific research, clinical expertise, and patient preferences to enhance the patient outcomes and improve health care quality. Clinical data are crucial in aligning medical decisions with evidence-based...
Reproducibility of Results Humans Data Accuracy Artificial Intelligence Metadata Machine Learning Algorithms
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Establishment of a machine learning-based predictive model with dual-center external validation: investigating the role of robotic surgery in preventing delayed gastric emptying for right-sided colon cancer.

Journal of robotic surgery Jun 30, 2025
After colorectal surgery, delayed gastric emptying (DGE) is a clinically significant postoperative complication that significantly lowers patients' quality of life. The evolving application of robotic surgery in gastrointestinal oncology continues to...
Postoperative Complications Logistic Models Robotic Surgical Procedures Colonic Neoplasms Colectomy Gastroparesis Aged Male Middle Aged Machine Learning Female Risk Factors Humans
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Identification of key genes and development of an identifying machine learning model for sepsis.

Inflammation research : official journal of the European Histamine Research Society ... [et al.] Jun 30, 2025
OBJECTIVE AND DESIGN: This study aims to identify key genes of sepsis and construct a model for sepsis identification through integrated multi-organ single-cell RNA sequencing (scRNA-seq) and machine learning.
Single-Cell Analysis Mice Sequence Analysis, RNA Lung Support Vector Machine Humans Gene Expression Profiling Databases, Genetic Machine Learning Sepsis Animals
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Developing a novel medulloblastoma diagnostic with miRNA biomarkers and machine learning.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery Jun 30, 2025
BACKGROUND: Medulloblastoma (MB) is the most common malignant brain tumor in children. Current diagnostic methods, such as MRI and lumbar puncture, are invasive and not sensitive enough, making early diagnosis challenging. MicroRNAs (miRNAs) have eme...
Male Child, Preschool Humans MicroRNAs Machine Learning Child Cerebellar Neoplasms Female Medulloblastoma Biomarkers, Tumor
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Revisiting Euclidean alignment for transfer learning in EEG-based brain-computer interfaces.

Journal of neural engineering Jun 30, 2025
Due to large intra-subject and inter-subject variabilities of electroencephalogram (EEG) signals, EEG-based brain-computer interfaces (BCIs) usually need subject-specific calibration to tailor the decoding algorithm for each new subject, which is tim...
Electroencephalography Brain-Computer Interfaces Transfer, Psychology Humans Machine Learning Algorithms
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Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT.

PloS one Jun 30, 2025
E-commerce is a vital component of the world economy, providing people with a simple and convenient method for shopping and enabling businesses to expand into new global markets. Improving e-commerce decision-making by utilizing IoT and machine intel...
Support Vector Machine Decision Making Bayes Theorem Commerce Internet Consumer Behavior Humans Machine Learning Algorithms
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