Latest AI and machine learning research in genetics for healthcare professionals.
Artificial intelligence (AI) and machine learning (ML) represent significant advancements in computi...
In this study, a deep quantum neural network (DQNN) based on the Lion-based Coot algorithm (LBCA-bas...
In population genetics, the emergence of large-scale genomic data for various species and population...
Inferring gene regulatory networks (GRNs) from single-cell RNA-seq (scRNA-seq) data is an important ...
DNA methylation takes on critical significance to the regulation of gene expression by affecting the...
Predicting protein stability change upon variation through a computational approach is a valuable to...
An accurate prognosis of renal function decline in Autosomal Dominant Polycystic Kidney Disease (ADP...
Understanding cellular responses to genetic perturbation is central to numerous biomedical applicati...
The last five decades have witnessed significant improvement in diagnostics, treatment and managemen...
The organisation of the genome in nuclear space is an important frontier of biology. Chromosome conf...
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases, su...
Congenital renal tract malformations (RTMs) are the major cause of severe kidney failure in children...
BRCA1 and BRCA2 genes play a crucial role in repairing DNA double-strand breaks through homologous r...
Zebrafish have become a widely accepted model organism for biomedical research due to their strong c...
This study introduces a new de novo design algorithm called that combines the capabilities of a dee...
Modern Healthcare cyberphysical systems have begun to rely more and more on distributed AI leveragin...
Crohn's disease (CD) arises from intricate intercellular interactions within the intestinal lamina p...
Predicting the transcription factor binding site (TFBS) in the whole genome range is essential in ex...
The employment of machine learning approaches has shown promising results in predicting cancer. In t...
We present RBPNet, a novel deep learning method, which predicts CLIP-seq crosslink count distributio...
This study focused on the development and initial psychometric evaluation of a set of online, webcam...