Latest AI and machine learning research in genetics for healthcare professionals.
The relationship between genotype and phenotype remains an outstanding question for organism-level t...
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas9 is a leading genomic editing...
Clinical management and surveillance of the complex (ECC) face significant challenges due to inaccu...
Lactylation, a novel post-translational modification, has been implicated in various pathophysiologi...
The trust-region method and projection neural networks are two branches of optimization approaches w...
Background and study aims Prophylactic total gastrectomy (PTG) is the definitive treatment for hered...
Identifying critically ill newborns who will benefit from whole genome sequencing (WGS) is difficult...
Automation has been developed and continues to be refined for cytogenetics, including advances in th...
A theoretical framework for AI and ensembled prediction for crop improvement is introduced and demon...
OBJECTIVES: Systemic sclerosis (SSc) is a complex autoimmune disease with both known and unidentifie...
Artificial intelligence models with biomarkers to predict treatment responses to radiation would be ...
Extrachromosomal circular DNA (eccDNA) may contribute to genomic rearrangements and tumor heterogene...
As a highly prevalent tumor in males, prostate cancer (PCa) needs newly developed biomarkers to gui...
INTRODUCTION: Lung neuroendocrine carcinomas (Lu-NECs) are rare, highly aggressive lung tumors with ...
The screening and monitoring of microRNAs as cancer molecular biomarkers is clinically significant, ...
BACKGROUND: Next-generation sequencing (NGS) has become a cornerstone of treatment for lung cancer a...
R-loops are three-stranded RNA and DNA hybrid structures that often occur in the genome and play imp...
Reduction in the costs of DNA sequencing and genotyping allows for the increased availability of dat...
Idiopathic pulmonary fibrosis (IPF) and pulmonary hypertension (PH) are two chronic conditions that ...
Next-generation sequencing has identified risk genes with large effect sizes for autism spectrum dis...
Understanding developmental changes in neuronal lineages is crucial to elucidate how they assemble i...