Polymorphism, Single Nucleotide

Screening the Best Risk Model and Susceptibility SNPs for Chronic Obstructive Pulmonary Disease (COPD) Based on Machine Learning Algorithms.

International journal of chronic obstructive pulmonary disease 39525518

BACKGROUND AND PURPOSE: Chronic obstructive pulmonary disease (COPD) is a common and progressive disease that is influenced by both genetic and environmental factors, and genetic factors are important determinants of COPD. This study focuses on scree...

Aged Algorithms Case-Control Studies Female Genetic Association Studies Genetic Predisposition to Disease Humans Logistic Models Lung Machine Learning Male Middle Aged Phenotype Polymorphism, Single Nucleotide Predictive Value of Tests Pulmonary Disease, Chronic Obstructive Risk Assessment Risk Factors ROC Curve

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Predicting laboratory aspirin resistance in Chinese stroke patients using machine learning models by GP1BA polymorphism.

Pharmacogenomics 39440554

This study aims to use machine learning model to predict laboratory aspirin resistance (AR) in Chinese stroke patients by incorporating patient characteristics and single nucleotide polymorphisms of and . 2405 patients were analyzed to measure the M...

Aged Aspirin China Drug Resistance East Asian People Female Genotype Humans Machine Learning Male Middle Aged Platelet Aggregation Inhibitors Polymorphism, Single Nucleotide Stroke

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Semi-supervised learning with pseudo-labeling compares favorably with large language models for regulatory sequence prediction.

Briefings in bioinformatics 39489607

Predicting molecular processes using deep learning is a promising approach to provide biological insights for non-coding single nucleotide polymorphisms identified in genome-wide association studies. However, most deep learning methods rely on superv...

Algorithms Computational Biology Deep Learning Genome-Wide Association Study Genome, Human Humans Polymorphism, Single Nucleotide Regulatory Sequences, Nucleic Acid Supervised Machine Learning

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Predicting functional outcome in ischemic stroke patients using genetic, environmental, and clinical factors: a machine learning analysis of population-based prospective cohort study.

Briefings in bioinformatics 39397424

Ischemic stroke (IS) is a leading cause of adult disability that can severely compromise the quality of life for patients. Accurately predicting the IS functional outcome is crucial for precise risk stratification and effective therapeutic interventi...

Aged China Female Genome-Wide Association Study Humans Ischemic Stroke Machine Learning Male Middle Aged Polymorphism, Single Nucleotide Prognosis Prospective Studies ROC Curve

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Valid inference for machine learning-assisted genome-wide association studies.

Nature genetics 39349818

Machine learning (ML) has become increasingly popular in almost all scientific disciplines, including human genetics. Owing to challenges related to sample collection and precise phenotyping, ML-assisted genome-wide association study (GWAS), which us...

Algorithms Bone Density Genome-Wide Association Study Humans Machine Learning Phenotype Polymorphism, Single Nucleotide

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Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases.

Scientific reports 39489837

Cardiovascular diseases (CVDs) are complex, multifactorial conditions that require personalized assessment and treatment. Advancements in multi-omics technologies, namely RNA sequencing and whole-genome sequencing, have provided translational researc...

Artificial Intelligence Biomarkers Cardiovascular Diseases Computational Biology Female Gene Expression Profiling Genomics Humans Machine Learning Male Middle Aged Multiomics Polymorphism, Single Nucleotide Transcriptome

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Machine learning model identifies genetic predictors of cisplatin-induced ototoxicity in CERS6 and TLR4.

Computers in biology and medicine 39488053

BACKGROUND: Cisplatin-induced ototoxicity remains a significant concern in pediatric cancer treatment due to its permanent impact on quality of life. Previously, genetic association analyses have been performed to detect genetic variants associated w...

Adolescent Antineoplastic Agents Child Child, Preschool Cisplatin Female Humans Machine Learning Male Membrane Proteins Ototoxicity Polymorphism, Single Nucleotide Toll-Like Receptor 4

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Phylogenomics and phylogeographic model testing using convolutional neural networks reveal a history of recent admixture in the Canarian Kleinia neriifolia.

Molecular ecology 39425595

Multiple-island endemics (MIE) are considered ideal natural subjects to study patterns of island colonization that involve recent population-level genetic processes. Kleinia neriifolia is a Canarian MIE widespread across the archipelago, which exhibi...

Genetics, Population Islands Neural Networks, Computer Phylogeny Phylogeography Plastids Polymorphism, Single Nucleotide

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Gene-diet interactions in carbonated sugar-sweetened beverage consumption and metabolic syndrome risk: A machine learning analysis in a large hospital-based cohort.

Clinical nutrition ESPEN 39396701

BACKGROUND AND AIM: Carbonated sugar-sweetened beverages (CSSB) intake has been increasingly linked to metabolic diseases. To investigate the association between CSSB intake and metabolic syndrome (MetS) risk, and the interaction between genetic pred...

Adult Carbonated Beverages Cohort Studies Diet Feeding Behavior Female Gene-Environment Interaction Genetic Predisposition to Disease Genome-Wide Association Study Humans Machine Learning Male Metabolic Syndrome Middle Aged Polymorphism, Single Nucleotide Risk Factors Sugar-Sweetened Beverages

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M-NET: Transforming Single Nucleotide Variations Into Patient Feature Images for the Prediction of Prostate Cancer Metastasis and Identification of Significant Pathways.

IEEE journal of biomedical and health informatics 39509309

High-performance prediction of prostate cancer metastasis based on single nucleotide variations remains a challenge. Therefore, we developed a novel biologically informed deep learning framework, named M-NET, for the prediction of prostate cancer met...

Deep Learning Humans Image Interpretation, Computer-Assisted Male Neoplasm Metastasis Neural Networks, Computer Polymorphism, Single Nucleotide Prostatic Neoplasms

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Explore the latest research on artificial intelligence and machine learning in medicine.

Screening the Best Risk Model and Susceptibility SNPs for Chronic Obstructive Pulmonary Disease (COPD) Based on Machine Learning Algorithms.

Predicting laboratory aspirin resistance in Chinese stroke patients using machine learning models by GP1BA polymorphism.

Semi-supervised learning with pseudo-labeling compares favorably with large language models for regulatory sequence prediction.

Predicting functional outcome in ischemic stroke patients using genetic, environmental, and clinical factors: a machine learning analysis of population-based prospective cohort study.

Valid inference for machine learning-assisted genome-wide association studies.

Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases.

Machine learning model identifies genetic predictors of cisplatin-induced ototoxicity in CERS6 and TLR4.

Phylogenomics and phylogeographic model testing using convolutional neural networks reveal a history of recent admixture in the Canarian Kleinia neriifolia.

Gene-diet interactions in carbonated sugar-sweetened beverage consumption and metabolic syndrome risk: A machine learning analysis in a large hospital-based cohort.

M-NET: Transforming Single Nucleotide Variations Into Patient Feature Images for the Prediction of Prostate Cancer Metastasis and Identification of Significant Pathways.

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