Genetics

Comparing artificial intelligence and physician performance in predicting IDH mutation status in glioma.

Predicting isocitrate dehydrogenase (IDH) mutations in gliomas using magnetic resonance imaging (MRI) is clinically important for treatment planning. This study compared two artificial intelligence (AI) models, GliomaDepth-IDH (ResNet34-based) and GliomaVista-IDH (Vision Transformer-based), with 18 physicians (eight neuroradiologists, five neurosurgeons, and five neurosurgery residents) in predict...

Prediction of tumor regression grading in rectal cancer neoadjuvant chemoradiotherapy: a habitat radiomics analysis of imaging biomarker.

BACKGROUND: Tumor regression grading (TRG) is a core prognostic predictor of treatment outcomes in rectal cancer. Conventional TRG assessment methods are limited in capturing the full complexity of intratumoral heterogeneity. Advances in medical imaging, particularly radiomics and habitat-based analysis, hold promise the improve TRG prediction by quantitatively characterizing subregional tumor fea...

Construction of a risk scoring model based on machine learning and validation of the role of the key gene SERPINE1 in the progression of colon cancer.

BACKGROUND AND OBJECTIVE: Colon cancer (CC) is a highly prevalent malignant tumor with a high mortality rate worldwide. Despite recent advancements in...

Integrating multi-omics and machine learning to decipher the molecular pathways of bisphenol a-associated lactylation-related genes driving bladder cancer.

In this study, we systematically investigated bladder cancer-related gene signatures using a toxicogenomics-informed framework, with particular attent...

Genetic analyses of udder conformation traits and daily milk yield measured by robotic milking systems using repeatability and random regression models in American Holstein cattle.

Udder conformation is a key component of functional dairy production because it influences milking efficiency, susceptibility to mastitis, and cow wel...

Nutrigenomics in precision livestock and poultry farming: Enhancing productivity, welfare, and sustainability through gene-tailored diets.

Nutrigenomics has emerged as a valuable framework for improving precision livestock and poultry production by elucidating how diet interacts with gene...

Harnessing AI and bioinformatics to combat methicillin-resistant staphylococcus aureus: Innovations in genomic surveillance, diagnosis, and therapeutic development.

The global rise of antimicrobial resistance (AMR), particularly methicillin-resistant Staphylococcus aureus (MRSA), poses a major health challenge, de...

Microbial succession from nursery to vineyard highlights the role of beneficial and pathogenic microbes in young vineyard yield.

BACKGROUND: The grapevine microbiome plays a central role in shaping vineyard performance, yet the influence of nursery inherited microbes on vineyard...

CADS: A Causal Inference Framework for Identifying Essential Genes to Enhance Drug Synergy Prediction.

MOTIVATION: Drug synergy is crucial for developing effective combination therapies, but traditional screening methods suffer from inefficiency and hig...

Neutrophil extracellular traps-related biomarkers in idiopathic pulmonary arterial hypertension: A machine learning-based identification and experimental validation study.

Neutrophil extracellular traps (NETs) are increasingly recognized as critical mediators in vascular inflammation and remodeling, yet their molecular m...

The aging eye: navigating molecular mechanisms and innovative interventions.

The global demographic shift toward aging has precipitated a surge in age-related ocular pathologies, imposing a formidable public health challenge th...

Elastic Multi-Gradient Descent for Parallel Continual Learning.

Learning a single shared model across multiple tasks is a long-standing goal in machine learning, traditionally addressed through Multi-Task Learning ...

VUStruct: A compute pipeline for high throughput and personalized structural biology.

Effective diagnosis and treatment of rare genetic disorders requires the interpretation of a patient's genetic variants of unknown significance (VUSs)...

AI-driven integration of genomic and exposome data for cancer risk: the combined risk score (CRS).

Polygenic risk scores (PRS) have emerged as important tools for quantifying inherited susceptibility to cancer, and are increasingly combined with env...

Screening macrophage polarization genes in spinal cord injury as therapeutic targets.

Macrophage polarization correlates strongly with the progression and prognosis of spinal cord injury (SCI), yet the therapeutic potential of macrophag...

Genetic variants and polygenic risk scores associated with paroxysmal atrial fibrillation in the Japanese population.

Early-stage diagnosis of paroxysmal atrial fibrillation (PAF) is challenging owing to its asymptomatic nature. However, the genetic factors underlying...

Comprehensive Multi-Omics Profiling of Tertiary Lymphoid Structures Reveals Immunogenetic Landscapes and Prognostic Subtypes in Lung Adenocarcinoma.

Tertiary lymphoid structures (TLSs) are key components of the tumor immune microenvironment and show prognostic relevance in many cancers. However, th...

Factorization machine with quadratic-optimization annealing for RNA inverse folding and evaluation of binary-integer encoding and nucleotide assignment.

The RNA inverse folding problem aims to identify nucleotide sequences that preferentially adopt a given target secondary structure. While various heur...

Spatiotemporal single-cell atlas of suture stem cell dynamics in craniosynostosis.

BACKGROUND: Craniosynostosis is a congenital disorder characterized by premature suture fusion and aberrant skull morphogenesis. The cellular dynamics...

AC-WGAN-GP for transcriptomic data augmentation: Enhancing stress classification in Synechocystis sp. PCC 6803 under data scarcity.

Transcriptomic analyses of environmental stress responses in Synechocystis sp. PCC 6803 are often constrained by limited sample sizes, pronounced clas...