AIMC Topic: Machine Learning

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Unusual Morphologic Presentation of Perineural Spread From Cutaneous Squamous Cell Carcinoma: Diagnosis Aided by Comprehensive Molecular Analysis and Machine Learning.

Journal of cutaneous pathology Jun 30, 2025
Neoplasms of unknown primary frequently pose a diagnostic challenge due to their nonspecific morphological and immunohistochemical features. Definitive classification of these neoplasms has a profound impact on treatment decisions. Mutational and gen...
Humans Male Skin Neoplasms Gene Expression Profiling Carcinoma, Squamous Cell Machine Learning Mutation Aged
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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...
ERRalpha Estrogen-Related Receptor Protein Binding Ligands Receptors, Estrogen Humans 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...
Humans Machine Learning Prospective Studies Prognosis Female Hospitalization Neoplasms Exercise Smartphone Aged Male Middle Aged
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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 Data Accuracy Metadata Machine Learning Algorithms Humans Artificial Intelligence
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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...
Risk Factors Aged Male Humans Machine Learning Female Robotic Surgical Procedures Colonic Neoplasms Colectomy Middle Aged Postoperative Complications Logistic Models Gastroparesis
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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.
Sepsis Sequence Analysis, RNA Humans Animals Machine Learning Support Vector Machine Single-Cell Analysis Lung Databases, Genetic Mice Gene Expression Profiling
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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...
Biomarkers, Tumor Male Child, Preschool Humans Machine Learning Female Medulloblastoma Child MicroRNAs Cerebellar Neoplasms
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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...
Brain-Computer Interfaces Transfer, Psychology Machine Learning Algorithms Electroencephalography Humans
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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...
Commerce Internet Consumer Behavior Humans Machine Learning Algorithms Support Vector Machine Decision Making Bayes Theorem
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Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism.

PloS one Jun 30, 2025
Predicting student performance is crucial for providing personalized support and enhancing academic performance. Advanced machine-learning approaches are being used to understand student performance variables as educational data grows. A big dataset ...
Algorithms Students Convolutional Neural Networks China Academic Performance Academic Success Humans Machine Learning
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