Latest AI and machine learning research in genetics for healthcare professionals.
The vulnerability of Deep Neural Networks (DNNs) to black-box adversarial attacks remains a pressing...
Accurate genomic prediction of agronomic traits is critical for modern breeding and agriculture. Dee...
Complex RNA-protein networks play a pivotal role in the formation of many types of biomolecular cond...
Homologous recombination deficiency (HRD) is a critical biomarker for guiding targeted therapies, ye...
Congenital anomalies of the kidney and urinary tract (CAKUT) are the major cause of childhood chroni...
Exome sequencing (ES) has transformed genomic research and clinical diagnostics by enabling precise ...
BACKGROUND: The pathogenesis of keloids is still unclear and effective biomarkers are lacking. There...
Genome-wide assessment of genetic variation is becoming routine in genetics, yet functional interpre...
This study investigates the shared molecular mechanisms between major depressive disorder (MDD) and ...
CRISPR-based genome editing technologies, including nuclease-based editing, base editing and prime e...
Hyperketonemia is a common metabolic disorder in early-lactation dairy cows that impairs milk perfor...
The chimera combining the peptide nucleic acids (PNAs) and peptides represent a promising bifunction...
This study investigates the global exponential stability of fractional-order Cohen-Grossberg neural ...
This study aimed to develop a deep learning-based method for automatic segmentation of the pharyngea...
Nasopharyngeal carcinoma (NPC) is a malignant tumor originating from the mucosal epithelium of the n...
Knowledge graphs (KGs) which represent entities and their relations in a structured manner, have bec...
Fine-tuned REINVENT generative model integrated with structure- and ligand-based computational appro...
Unlike the polymerase chain reaction (PCR), loop-mediated isothermal amplification (LAMP) lacks a co...
Biofilms are intricate bacterial communities encased in a self-produced extracellular matrix (ECM) o...
Single-cell multimodal analysis based on machine learning integrates data from multiple modalities s...
Gene sequence prediction not only effectively identifies homologous genes but also provides crucial ...