Genetics

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

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Advancements in the investigation of the mechanisms underlying cognitive aging.

Cognitive aging, a pivotal domain at the intersection of neuroscience and psychology, exhibits a str...

Pharmacovigilance in Cell and Gene Therapy: Evolving Challenges in Risk Management and Long-Term Follow-Up.

Cell and gene therapies, including CAR T-cells, CRISPR-based genome editing, and next-generation vir...

Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese.

A substantial portion of lung cancer-associated genetic elements in East Asian populations remains u...

Integrated phenotypic analysis, predictive modeling, and identification of novel trait-associated loci in a diverse Theobroma cacao collection.

BACKGROUND: Cacao (Theobroma cacao L.) breeding and improvement rely on understanding germplasm dive...

Variational Autoencoder-based Model Improves Polygenic Prediction in Blood Cell Traits.

Genetic prediction of complex traits, enabled by large-scale genomic studies, has created new measur...

Beyond genomics: a multiomics future for parasitology.

Parasitology has long relied on genomics and transcriptomics to explore gene function, diversity, an...

Whole genome resequencing reveals genetic diversity, population structure, and selection signatures in local duck breeds.

BACKGROUND: Shandong's local duck breeds are renowned for their outstanding egg-laying performance a...

High-speed cell partitioning through reactive machine learning-guided inkjet printing.

Partitioning cells in open nanowells permits high confidence in single cell occupancy and enables fl...

Enhancing RNA 3D Structure Prediction: A Hybrid Approach Combining Expert Knowledge and Computational Tools in CASP16.

RNA three-dimensional structures are critical for their roles in gene expression and regulation. How...

Unravelling the genetic complexity of drug-resistant epilepsy: a critical narrative review.

INTRODUCTION: Drug-resistant epilepsy (DRE) affects 30% of epilepsy patients and represents a major ...

Network-based approach identifies key genes associated with tumor heterogeneity in HPV positive and negative head and neck cancer patients.

Head and Neck Squamous Cell Carcinoma (HNSCC) is the seventh most prevalent cancer worldwide and is ...

A comprehensive mapping of zeolite-template chemical space.

Zeolites are industrially important catalysts and adsorbents, typically synthesized using specific m...

Phenotype augmentation using generative AI for isocitrate dehydrogenase mutation prediction in glioma.

This study investigated the effects of feature augmentation, which uses generated images with specif...

Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma.

Epigenetic mechanisms play a crucial role in driving transcript expression and shaping the phenotypi...

AdaptiveGS: an explainable genomic selection framework based on adaptive stacking ensemble machine learning.

We developed an adaptive and unified stacking genomic selection framework and designed a model inter...

A workflow for statistical analysis and visualization of microbiome omics data using the R microeco package.

The increasing complexity of experimental designs and the volume of data in the microbiome field, al...

Chronological age estimation from human microbiomes with transformer-based Robust Principal Component Analysis.

Deep learning for microbiome analysis has shown potential for understanding microbial communities an...

Circulating epigenetic signatures classifying brain insulin resistance in humans.

Brain insulin action plays an important role in metabolic and cognitive health, but there is no biom...

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