AIMC Topic: Machine Learning

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Identification of CACNB1 protein as an actionable therapeutic target for hepatocellular carcinoma via metabolic dysfunction analysis in liver diseases: An integrated bioinformatics and machine learning approach for precise therapy.

International journal of biological macromolecules Mar 25, 2025
In addition to histological evaluation for nonalcoholic fatty liver disease (NAFLD), a comprehensive analysis of the metabolic landscape is urgently needed to categorize patients into distinct subgroups for precise treatment. In this study, a total o...
Carcinoma, Hepatocellular Female Humans Computational Biology Male Machine Learning Gene Expression Regulation, Neoplastic Middle Aged Prognosis Liver Neoplasms Non-alcoholic Fatty Liver Disease
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Machine-learning-based prediction of functional recovery in deep-pain-negative dogs after decompressive thoracolumbar hemilaminectomy for acute intervertebral disc extrusion.

Veterinary surgery : VS Mar 25, 2025
OBJECTIVE: To develop and compare machine-learning algorithms to predict recovery of ambulation after decompressive surgery for acute intervertebral disc extrusion (IVDE).
Lumbar Vertebrae Dogs Decompression, Surgical Machine Learning Dog Diseases Laminectomy Algorithms Intervertebral Disc Displacement Retrospective Studies Female Animals Male Thoracic Vertebrae Recovery of Function
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A Machine Learning Approach to Predict Cognitive Decline in Alzheimer Disease Clinical Trials.

Neurology Mar 25, 2025
BACKGROUND AND OBJECTIVES: Among the participants of Alzheimer disease (AD) treatment trials, 40% do not show cognitive decline over 80 weeks of follow-up. Identifying and excluding these individuals can increase power to detect treatment effects. We...
Aged Aged, 80 and over Male Middle Aged Machine Learning Biomarkers Female Alzheimer Disease Clinical Trials as Topic Neuropsychological Tests Cognitive Dysfunction Magnetic Resonance Imaging Predictive Value of Tests Humans
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Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms.

BMC medical informatics and decision making Mar 25, 2025
INTRODUCTION: Accurate and timely discharge from the Post-Anesthesia Care Unit (PACU) is essential to prevent postoperative complications and optimize hospital resource utilization. Premature discharge can lead to severe issues such as respiratory or...
Cross-Sectional Studies Male Middle Aged Recovery Room Female Aged Adult Humans Anesthesia, General Machine Learning Patient Discharge Algorithms
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Machine learning prediction of preterm birth in women under 35 using routine biomarkers in a retrospective cohort study.

Scientific reports Mar 25, 2025
Preterm birth (PTB), defined as delivery before 37 weeks, affects 15 million infants annually, accounting for 11% of live births and over 35% of neonatal deaths. While advanced maternal age (≥ 35 years) is a known risk factor, PTB risk in women under...
Risk Factors Adult Logistic Models Maternal Age Female Infant, Newborn Machine Learning Premature Birth Humans Biomarkers Retrospective Studies Pregnancy
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Enhanced diagnosis of multi-drug-resistant microbes using group association modeling and machine learning.

Nature communications Mar 25, 2025
New solutions are needed to detect genotype-phenotype associations involved in microbial drug resistance. Herein, we describe a Group Association Model (GAM) that accurately identifies genetic variants linked to drug resistance and mitigates false-po...
Humans Machine Learning Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Genotype Staphylococcus aureus Mutation Antitubercular Agents Tuberculosis, Multidrug-Resistant Mycobacterium tuberculosis
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Machine learning models for prediction of lymph node metastasis in patients with gastric cancer: a Chinese single-centre study with external validation in an Asian American population.

BMJ open Mar 25, 2025
OBJECTIVE: To develop and validate machine learning (ML)-based models to predict lymph node metastasis (LNM) in patients with gastric cancer (GC).
SEER Program ROC Curve Lymphatic Metastasis East Asian People Female Humans Aged Neural Networks, Computer Stomach Neoplasms Adult Machine Learning Male Retrospective Studies Middle Aged China
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Predicting Therapy Outcomes in Patients With Stress-Related Disorders: Protocol for a Predictive Modeling Study.

JMIR research protocols Mar 25, 2025
BACKGROUND: While cognitive behavioral therapy has shown efficacy in treating stress-related disorders, such as adjustment disorder and exhaustion disorder, knowledge about factors contributing to treatment response is limited. Improved identificatio...
Adult Male Stress, Psychological Treatment Outcome Cognitive Behavioral Therapy Adjustment Disorders Humans Machine Learning Female
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Assessing potential toxic metal threats in tea growing soils of India with soil health indices and machine learning technologies.

Environmental monitoring and assessment Mar 25, 2025
This study explores the impact of potentially toxic metals (PTMs) contamination in Indian tea-growing soils on ecosystems, soil quality, and human health using machine learning and statistical analysis. A total of 148 surface soil samples were collec...
Humans Soil Pollutants Metals, Heavy Metals Machine Learning India Soil Environmental Monitoring Risk Assessment Tea
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Select for better learning: identifying high-quality training data for a multimodal cyclic transformer.

Journal of neural engineering Mar 25, 2025
. Tonic-clonic seizures (TCSs), which present a significant risk for sudden unexpected death in epilepsy, require accurate detection to enable effective long-term monitoring. Previous studies have demonstrated the advantages of multimodal seizure det...
Learning Humans Electroencephalography Machine Learning Seizures Epilepsy, Tonic-Clonic
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