Latest AI and machine learning research in genetics for healthcare professionals.
Vitamin D insufficiency has been associated with faster progression of atherosclerosis and increase...
Butyrylation plays a crucial role in the cellular processes. Due to limit of techniques, it is a cha...
Limited therapy options due to antibiotic resistance underscore the need for optimization of current...
Alzheimer's disease (AD) has become a severe medical challenge. Advances in technologies produced hi...
Head and neck squamous cell carcinoma (HNSCC) is the sixth malignancy, which is characterized by poo...
INTRODUCTION: Developing cross-validated multi-biomarker models for the prediction of the rate of co...
Understanding the genetic background of complex diseases and disorders plays an essential role in th...
BACKGROUND: CRISPR/Cas9 system, as the third-generation genome editing technology, has been widely a...
BACKGROUND This study aimed to use three modeling methods, logistic regression analysis, random fore...
The (ER) clade consists of about 46 species distributed in East and Southeast Asia. Although and ...
Breast cancer is the most prevalent and among the most deadly cancers in females. Patients with brea...
The goal of this study was to compare the predictive performance of artificial neural networks (ANNs...
In cancer, the primary tumour's organ of origin and histopathology are the strongest determinants of...
Cancer is one of the most difficult diseases to treat owing to the drug resistance of tumour cells. ...
BACKGROUND: Behçet's disease (BD) is a chronic multi-systemic vasculitis with a considerable prevale...
AIMS: Familial hypercholesterolemia (FH) is the most common genetic disorder of lipid metabolism. Th...
Chronic HIV is associated with increased inflammation and tissue fibrosis despite suppressive antir...
Genome-wide association studies (GWAS) identify genetic variants associated with traits or diseases....
To understand the pathogenesis of low level viraemia (LLV) in HIV-infected patients on boosted prote...
Deep learning has become a powerful paradigm to analyze the binding sites of regulatory factors incl...
BACKGROUND: Breast cancer intrinsic molecular subtype (IMS) as classified by the expression-based PA...