Latest AI and machine learning research in genetics for healthcare professionals.
Telomere length is an important biomarker of organismal aging and cellular replicative potential, bu...
Microorganisms, crucial for environmental equilibrium, could be destructive, resulting in detrimenta...
Liquid biopsy demonstrates excellent potential in patient management by providing a minimally invasi...
Accurate and efficient molecular recognition plays a crucial role in the fields of molecular detecti...
Schizophrenia (SCZ) is a chronic, severe, and complex psychiatric disorder that affects all aspects ...
RNA sequence information holds immense potential as a drug target for diagnosing various RNA-mediate...
In solid tumor oncology, circulating tumor DNA (ctDNA) is poised to transform care through accurate ...
The exponential growth of big data in RNA biology (RB) has led to the development of deep learning (...
BACKGROUND: Defining optimal therapeutic sequencing strategies in prostate cancer (PC) is challengin...
Despite considerable advances in extracting crucial insights from bio-omics data to unravel the intr...
Idiopathic pulmonary fibrosis (IPF) is a chronic disease of unknown etiology that lacks a specific t...
Meiotic recombination plays a pivotal role in genetic evolution. Genetic variation induced by recomb...
While genetic variation in any species is potentially shaped by a range of processes, phylogeography...
Acute myeloid leukemia (AML) is a heterogenous blood cancer with a dismal prognosis. It emanates fro...
Single-cell ribonucleic acid sequencing (scRNA-seq) is a high-throughput genomic technique that is u...
Nanopore sequencing platforms combined with supervised machine learning (ML) have been effective at ...
BACKGROUND: Increased oxidative stress (OS) activity following intracerebral hemorrhage (ICH) had si...
Accurate assessment of epidermal growth factor receptor (EGFR) mutation status and subtype is critic...
Coronary artery disease (CAD) exists on a spectrum of disease represented by a combination of risk f...
The process of identification and management of neurological disorder conditions faces challenges, p...
The study of immunology, traditionally reliant on proteomics to evaluate individual immune cells, ha...