Latest AI and machine learning research in genetics for healthcare professionals.
MicroRNAs (miRs) are short, noncoding RNA strands that regulate the activity of mRNAs by affecting t...
Glioblastoma (GBM) is the most malignant brain cancer and one of the leading causes of cancer-relate...
Pompe disease, a severe lysosomal storage disorder, is marked by heart problems, muscle weakness, an...
BACKGROUND: Methylmalonic acidemia (MMA) is one of the most common hereditary organic acid metabolis...
This study focuses on the classification of six different macrofungi species using advanced deep lea...
BACKGROUND: Sequencing-based genetic testing is widely used in biomedical research, including pathog...
Cellular deconvolution via bulk RNA sequencing (RNA-seq) presents a cost-effective and efficient alt...
Fluorescence in Situ Hybridization (FISH) is a technique for macromolecule identification that utili...
Autism is a developmental disability. Research demonstrated that children with autism benefit from e...
In this study, we aimed to investigate disparities in the tumor immune microenvironment (TME) betwee...
DNA-encoded library (DEL) technology is a powerful platform for the efficient identification of nove...
Tuberculosis disease (TB), caused by Mycobacterium tuberculosis (Mtb), is a major global public heal...
Solid-state nanogap-based DNA sequencing with a quantum tunneling approach has emerged as a promisin...
Circular RNA (circRNA) has the capacity to bind with RNA binding protein (RBP), thereby exerting a s...
In order to avoid damaging viscera during poultry evisceration and enhance the economic value of pou...
The digitization of health records and growing availability of tumour DNA sequencing provide an oppo...
BACKGROUND Peri-implantitis is the main cause of failure of implant treatment, and there is little r...
Systemic study of pathogenic pathways and interrelationships underlying genes associated with Alzhei...
RNAs represent a class of programmable biomolecules capable of performing diverse biological functio...
In electroencephalogram (EEG) cognitive recognition research, the combined use of artificial neural ...
The emergence of immune-evasive mutations in the SARS-CoV-2 spike protein is consistently challengin...