Genetics

Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

11,076 articles

Subcategories: Genetics

Showing 2458-2478 of 11,076 articles

Interpretable Dynamic Directed Graph Convolutional Network for Multi-Relational Prediction of Missense Mutation and Drug Response.

Tumor heterogeneity presents a significant challenge in predicting drug responses, especially as mis...

Feb 2025 39423073

Forecasting Epidemic Spread With Recurrent Graph Gate Fusion Transformers.

Predicting the unprecedented, nonlinear nature of COVID-19 presents a significant public health chal...

Feb 2025 39475731

Galactose-Induced Cataracts in Rats: A Machine Learning Analysis.

Rat models are widely used to study cataracts due to their cost-effectiveness and prominent physiol...

Feb 2025 40027191

Integration of single-cell and bulk RNA sequencing data using machine learning identifies oxidative stress-related genes LUM and PCOLCE2 as potential biomarkers for heart failure.

Oxidative stress (OS) is a pivotal mechanism driving the progression of cardiovascular diseases, par...

Feb 2025 39929468

HybProm: An attention-assisted hybrid CNN-BiLSTM model for the interpretable prediction of DNA promoter.

Promoter prediction is essential for analyzing gene structures, understanding regulatory networks, t...

Feb 2025 39929298

Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression.

Genomic heterogeneity has largely been overlooked in single-cell replication timing (scRT) studies. ...

Feb 2025 39922809

Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images.

Cancer is a global health concern because of a significant mortality rate and a wide range of affect...

Feb 2025 39922836

Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence.

Artificial intelligence (AI) has emerged as a transformative force in precision medicine, revolution...

Feb 2025 39915780

Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder.

Although the efficacy of pharmacy in the treatment of attention deficit/hyperactivity disorder (ADHD...

Feb 2025 39920114

An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate.

Next-generation sequencing (NGS) genomic data offer valuable high-throughput genomic information for...

Feb 2025 38117627

Transfer Learning Prediction of Early Exposures and Genetic Risk Score on Adult Obesity in Two Minority Cohorts.

Due to ethnic heterogeneity in genetic architecture, genetic risk score (GRS) constructed within the...

Feb 2025 39913075

Ontology-based expansion of virtual gene panels to improve diagnostic efficiency for rare genetic diseases.

BACKGROUND: Virtual Gene Panels (VGP) comprising disease-associated causal genes are utilized in the...

Feb 2025 39910609

Deep Learning and Single-Molecule Localization Microscopy Reveal Nanoscopic Dynamics of DNA Entanglement Loci.

Understanding molecular dynamics at the nanoscale remains challenging due to limitations in the temp...

Feb 2025 39903818

Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer.

Gastric cancer (GC) is one of the most common tumors; one of the reasons for its poor prognosis is t...

Feb 2025 39905263

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Interpretable Dynamic Directed Graph Convolutional Network for Multi-Relational Prediction of Missense Mutation and Drug Response.

Forecasting Epidemic Spread With Recurrent Graph Gate Fusion Transformers.

Galactose-Induced Cataracts in Rats: A Machine Learning Analysis.

Integration of single-cell and bulk RNA sequencing data using machine learning identifies oxidative stress-related genes LUM and PCOLCE2 as potential biomarkers for heart failure.

HybProm: An attention-assisted hybrid CNN-BiLSTM model for the interpretable prediction of DNA promoter.

Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression.

Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images.

Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence.

Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder.

An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate.

Transfer Learning Prediction of Early Exposures and Genetic Risk Score on Adult Obesity in Two Minority Cohorts.

Ontology-based expansion of virtual gene panels to improve diagnostic efficiency for rare genetic diseases.

Deep Learning and Single-Molecule Localization Microscopy Reveal Nanoscopic Dynamics of DNA Entanglement Loci.

Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer.

Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR.

Radiomics in glioma: emerging trends and challenges.

Deep learning powered single-cell clustering framework with enhanced accuracy and stability.

A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions.

Leveraging AI to automate detection and quantification of extrachromosomal DNA to decode drug responses.

Deep learning to decode sites of RNA translation in normal and cancerous tissues.

Integrating Machine Learning-Based Approaches into the Design of ASO Therapies.

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