Latest AI and machine learning research in genetics for healthcare professionals.
Neutrophil extracellular traps (NETs) are increasingly recognized as critical mediators in vascular ...
The global demographic shift toward aging has precipitated a surge in age-related ocular pathologies...
Learning a single shared model across multiple tasks is a long-standing goal in machine learning, tr...
Effective diagnosis and treatment of rare genetic disorders requires the interpretation of a patient...
Polygenic risk scores (PRS) have emerged as important tools for quantifying inherited susceptibility...
Macrophage polarization correlates strongly with the progression and prognosis of spinal cord injury...
Early-stage diagnosis of paroxysmal atrial fibrillation (PAF) is challenging owing to its asymptomat...
Tertiary lymphoid structures (TLSs) are key components of the tumor immune microenvironment and show...
The RNA inverse folding problem aims to identify nucleotide sequences that preferentially adopt a gi...
BACKGROUND: Craniosynostosis is a congenital disorder characterized by premature suture fusion and a...
DNA methylation-based age prediction has become a reliable method for individual identification. Whi...
Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a leading global health ...
Next-generation sequencing (NGS) has revolutionized the field of genomics by providing rapid, high-t...
BACKGROUND: Host dependency factors (HDF) are essential for viral replication and are promising targ...
BACKGROUND: Melanoma represents a highly aggressive and metastatic form of malignant skin cancer. th...
Since the emergence of synthetic biology, biofoundries have developed as enabling infrastructures th...
BACKGROUND: Ovarian cancer (OC) is a leading cause of cancer-related mortality in women, largely due...
Strong non-invasive tests (NITs) are needed to predict decompensation in patients with compensated a...
As dairy enterprises increasingly focus on microbial contamination, traditional detection technologi...
The application of artificial intelligence in computational pathology depends on both robust algorit...
While the heterogeneity and co-occurrence of heritable neurodevelopmental conditions such as autism,...