Latest AI and machine learning research in genetics for healthcare professionals.
Klebsiella pneumoniae (KP) has emerged as a formidable nosocomial pathogen in the era of antimicrobi...
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a prevalent metabolic disorder with limited...
The ability of organisms to adapt and survive depends on the effects of genes and the environment on...
Morphological switching in response to environmental stimuli is a well-known phenomenon in fungi, le...
MOTIVATION: Genome stability is shaped by DNA sequence and chromatin context, but their relative con...
Nanozyme sensor arrays have garnered significant attention in the sensing field, whereas their pract...
BACKGROUND: Hypermobile Ehlers-Danlos syndrome (hEDS) is a multisystemic hereditary connective tissu...
Effective and sustainable management of coastal ecosystems relies on accurate water quality monitori...
Clonal hematopoiesis of undetermined potential (CHIP), initially discovered as a mere hematological ...
BACKGROUND: Sepsis is a life-threatening organ dysfunction arising from a dysregulated host response...
Multidisciplinary genomic evaluation is increasingly recognized for its diagnostic and therapeutic i...
Innovation arises from exploring unknown areas of knowledge. In most instances, progress occurs incr...
β-thalassemia comprises a clinically heterogeneous group of disorders in which anemia severity, tran...
Esophageal cancer is biologically heterogeneous, and conventional clinicopathological staging incomp...
BACKGROUND: The inability to predict risk in early pregnancy for preeclampsia represents a major lim...
Designing protein sequences with favorable predicted energetic properties is an important challenge ...
The Human Genome Project (HGP) was a large international research effort that timelined between 1990...
BACKGROUND: Primary biliary cholangitis (PBC) is a chronic, progressive, cholestatic liver disease c...
BACKGROUND: Anxiety-depressive disorder (ADD) is one of the important subtypes of depression, which ...
The precise identification of promoters is crucial for understanding gene regulation. Deep learning ...
MOTIVATION: Predicting variant pathogenicity is crucial for clinical genetics. Existing approaches f...