Latest AI and machine learning research in genetics for healthcare professionals.
Osteoporosis (OP) is a multifactorial disease, leading to abnormal bone remodeling, requiring target...
Neoadjuvant systemic therapy has emerged as a strategy to improve outcomes in high-risk localized ge...
BACKGROUND AND OBJECTIVE: Gastric cancer is a heterogeneous and complicated epithelial cancers. Chro...
Newcastle disease virus (NDV), a highly contagious avian pathogen, causes devastating economic losse...
To investigate the role of Benzo[a]pyrene (BaP) in driving the Correa cascade during gastric cancer ...
BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by amyl...
UNLABELLED: : Background and Hypothesis: Monoallelic pathogenic variants in GANAB cause autosomal do...
BACKGROUND: Immune checkpoint inhibitor therapy (ICI) with nivolumab+ipilimumab is a first-line (1L)...
T-cell receptors (TCRs) are generated through somatic recombination of variable (V), diversity (D), ...
Conventional approaches to heterologous gene expression rely on codon optimization, which is limited...
Patients diagnosed with breast cancer exhibit a diverse range of prognostic outcomes due to the vari...
Patients with chronic obstructive pulmonary disease (COPD) are at increased risk of lung cancer, and...
Di-(2-ethylhexyl) terephthalate (DOTP), as an alternative to phthalate plasticizers, has been widely...
UNLABELLED: Deep learning (DL) has the potential to enable the prediction of gene mutations directly...
UNLABELLED: Circular RNAs (circRNA) are associated with crucial hallmarks of tumorigenesis. Select c...
Gene expression is tightly controlled by DNA elements called enhancers by associating with lineage-s...
With emerging single-cell transcriptomics data, deep learning approaches have enabled the diagnosis ...
PURPOSE: Early-stage lung adenocarcinoma (LUAD) exhibits substantial clinical heterogeneity that is ...
Bone tumors such as osteosarcoma and Ewing sarcoma remain among the most challenging cancers to diag...
Single-cell RNA sequencing (scRNA-seq) enables high-resolution analysis of gene expression at the in...
RNA-based technologies have demonstrated significant potential for diverse applications, ranging fro...