Latest AI and machine learning research in genetics for healthcare professionals.
PURPOSE: The dicentric chromosome assay (DCA), often referred to as the 'gold standard' in radiation...
The research aims to propose a feature selection model for hydraulic analysis as such a model has no...
High-throughput sequencing and multiomics technologies have allowed increasing numbers of biomarkers...
Combination therapy is a promising strategy for the successful treatment of cancer. The large number...
The serious drawback underlying the biological annotation of whole-genome sequence data is the p >> ...
The diagnosis of inherited retinal degeneration (IRD) is challenging owing to its phenotypic and gen...
Since the onset of the coronavirus disease 2019 (COVID-19) pandemic, SARS-CoV-2 variants capable of ...
BACKGROUND: Pneumocystis jirovecii pneumonia (PJP) is an interstitial pneumonia caused by pneumocyst...
Elucidating the relationship between non-coding regulatory element sequences and gene expression is ...
Elderly patients infected with severe acute respiratory syndrome coronavirus 2 are at higher risk of...
Inherited arrhythmia disorders account for a significant proportion of sudden cardiac death, particu...
Integration of multiple data sources presents a challenge for accurate prediction of molecular patho...
Colorectal cancer (CRC) is a leading cause of cancer-related deaths. Recent advancements in genomic ...
Bladder cancer (BC) is the ninth most-common cancer worldwide and it is associated with high morbidi...
Combined pulmonary fibrosis and emphysema (CPFE) presents a unique challenge in respiratory disorder...
Criminal investigations, particularly sexual assaults, frequently require the identification of body...
Distant metastasis of cancer is a significant contributor to cancer-related complications, and early...
It is now known that RNAs play more active roles in cellular pathways beyond simply serving as trans...
Hepatitis B and C viruses (HBV and HCV) are significant causes of chronic liver diseases, with appro...
Deep learning models (DLMs) have gained importance in predicting, detecting, translating, and classi...
Protein stability is a critical aspect of molecular biology and biochemistry, hinges on an intricate...