AIMC Topic: Machine Learning

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Automated machine learning profiling with MAP-HR for quantifying homologous recombination foci in patient samples.

NAR cancer Aug 11, 2025
Accurate visualization and quantification of homologous recombination (HR)-associated foci in readily available patient samples are critical for identifying patients with HR deficiency (HRD) when they present for care to guide polyADP ribose polymera...
Humans DNA Breaks, Double-Stranded Homologous Recombination Rad51 Recombinase Machine Learning Cell Line, Tumor Histones
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Circulating cell-free RNA signatures for the characterization and diagnosis of myalgic encephalomyelitis/chronic fatigue syndrome.

Proceedings of the National Academy of Sciences of the United States of America Aug 11, 2025
People living with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) experience heterogeneous and debilitating symptoms that lack sufficient biological explanation, compounded by the absence of accurate, noninvasive diagnostic tools. To add...
Humans Machine Learning Fatigue Syndrome, Chronic Cell-Free Nucleic Acids Male Middle Aged Case-Control Studies Biomarkers Female Adult
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Building simplified cancer subtyping and prediction models with glycan gene signatures.

Cell reports methods Aug 11, 2025
We identified a gene panel comprising 71 glycosyltransferases (GTs) that alter glycan patterns on cancer cells as they become more virulent. When these cancer-pattern GTs (CPGTs) were run through an algorithm trained on The Cancer Genome Atlas, they ...
Polysaccharides Glycosyltransferases Humans Machine Learning Breast Neoplasms Algorithms Neoplasms Prognosis Glioma Female
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A review of machine learning applications in heart health.

Biomedical engineering online Aug 11, 2025
The application of machine learning in healthcare continues to gain attention as researchers attempt to prove its potential for the enhancement of diagnosis and prognosis accuracy. Although many applications of machine learning have been well studied...
Heart Humans Stroke Machine Learning Health
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Risk factors for tuberculosis treatment outcomes: a statistical learning-based exploration using the SINAN database with incomplete observations.

BMC medical informatics and decision making Aug 11, 2025
BACKGROUND: Understanding early predictors of treatment outcomes allows better outcome prediction and resource allocation for efficient tuberculosis (TB) management.
Humans Tuberculosis Middle Aged Female Machine Learning Outcome Assessment, Health Care Young Adult Treatment Outcome Databases, Factual Risk Factors Antitubercular Agents Adult Aged Male
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Machine learning models for the prediction of preclinical coal workers' pneumoconiosis: integrating CT radiomics and occupational health surveillance records.

Journal of translational medicine Aug 11, 2025
OBJECTIVES: This study aims to integrate CT imaging with occupational health surveillance data to construct a multimodal model for preclinical CWP identification and individualized risk evaluation.
Occupational Health Middle Aged ROC Curve Anthracosis Adult Radiomics Machine Learning Humans Male Retrospective Studies Tomography, X-Ray Computed
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An explainable predictive machine learning model for axillary lymph node metastasis in breast cancer based on multimodal data: A retrospective single-center study.

Journal of translational medicine Aug 11, 2025
OBJECTIVE: To develop explainable machine learning models that integrate multimodal imaging and pathological biomarkers to predict axillary lymph node metastasis (ALNM) in breast cancer patients and assess their clinical utility.
Humans Machine Learning Retrospective Studies Female Axilla Aged Multimodal Imaging ROC Curve Area Under Curve Adult Bayes Theorem Lymph Nodes Breast Neoplasms Lymphatic Metastasis Middle Aged
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Early detection of vascular catheter-associated infections employing supervised machine learning - a case study in Lleida region.

BMC medical informatics and decision making Aug 11, 2025
Healthcare-associated infections (HAIs), particularly Vascular Catheter-Associated Infections (VCAIs), are a significant concern, accounting for over 7% of all infections and are often linked to medical devices. Early detection of VCAIs before invasi...
Catheter-Related Infections Supervised Machine Learning Early Diagnosis Spain Aged Male Middle Aged Retrospective Studies Female Humans Machine Learning
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Comparing likelihood-based and likelihood-free approaches to fitting and comparing models of intertemporal choice.

Behavior research methods Aug 11, 2025
Machine learning methods have recently begun to be used for fitting and comparing cognitive models, yet they have mainly focused on methods for dealing with models that lack tractable likelihoods. Evaluating how these approaches compare to traditiona...
Choice Behavior Delay Discounting Machine Learning Bayes Theorem Likelihood Functions Humans Neural Networks, Computer
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Human adaptation to adaptive machines converges to game-theoretic equilibria.

Scientific reports Aug 11, 2025
Here we test three learning algorithms for machines playing general-sum games with human subjects. The algorithms enable the machine to select the outcome of the co-adaptive interaction from a constellation of game-theoretic equilibria in action and ...
Humans Machine Learning Algorithms Game Theory
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