Latest AI and machine learning research in genetics for healthcare professionals.
BACKGROUND AND AIM: The world witnessed COVID-19 in 2025 yet again, a resurgence driven by LF.7 and ...
BACKGROUND: Autism spectrum disorder (ASD) is frequently accompanied by gastrointestinal (GI) distur...
Spatial transcriptomics (ST) enables spatially resolved gene expression profiling within intact tiss...
OBJECTIVE: The association between cervical cancer (CC) and venous thromboembolism (VTE) has been we...
BACKGROUND: Inherited PLN (phospholamban) R14del variants cause dilated cardiomyopathy with a high b...
Viral infections are a major contributor to global cancer incidence and mortality. However, integrat...
Cancer-associated fibroblasts (CAFs) play a crucial role in the tumor microenvironment (TME) by infl...
Triple-negative breast cancer (TNBC) is classified as an immunologically cold tumor, which markedly ...
BACKGROUND: The evaluation of genetic mutations is crucial for personalized therapy in colorectal ca...
BACKGROUND: Early detection and treatment stratification of breast cancer remain major clinical chal...
Given the plethora of emerging technologies, none have truly captured the minds as CRISPR. From the ...
Variants in promoters and enhancers can alter the binding of transcription factors (TFs), but their ...
INTRODUCTION: Nonclassical 21-hydroxylase deficiency (NC21OHD) is a rare autosomal recessive disorde...
Antimicrobial resistance (AMR) continues to outpace development of new therapeutics. Many interventi...
The CCCTC-binding factor (CTCF) is a master regulator of topologically associating domains (TADs), w...
As global temperatures continue to rise, the incidence and mortality rates of heatstroke (HS) have s...
Periodontitis represents a persistent inflammatory condition marked by gradual damage to the gingiva...
Despite advances in lipid-lowering and anti-inflammatory medications, atherosclerotic cardiovascular...
Lysine methylation is an important epigenetic modification that regulates chromatin structure and ge...
Understanding how individual cells respond to genetic or environmental perturbations is crucial for ...
Deep neural networks can be trained to predict gene expression directly from genomic sequence, there...