Latest AI and machine learning research in genetics for healthcare professionals.
Although transarterial chemoembolization (TACE) is the most widely used treatment for intermediate-s...
With the continuous application of the art industry in various fields, more and more people choose t...
Nowadays, a large number of students' academic registrations change every year in universities, but ...
Genomic medicine has made important strides over the past several decades, but as new insights and t...
DNase I hypersensitive sites (DHSs) is important for identifying the location of gene regulatory ele...
Proteins are engines involved in almost all functions of life. They have specific spatial structures...
The human health status can be assessed by the means of research and analysis of the human microbiom...
The growing number of next-generation sequencing (NGS) data presents a unique opportunity to study t...
Next-generation sequencing has enabled the collection of large biological data sets, allowing novel ...
One fundamental problem of protein biochemistry is to predict protein structure from amino acid sequ...
BACKGROUND: Nowadays we are observing an explosion of gene expression data with phenotypes. It enabl...
Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analy...
More than 150 types of brain tumors have been documented. Accurate diagnosis is important for makin...
PURPOSE: This study aimed to explore the predictive ability of deep learning (DL) for the common epi...
Due to the high cost of DNA-binding proteins (DBPs) detection, many machine learning algorithms (ML)...
Exosomal microRNAs (miRNAs) are emerging diagnostic biomarkers for different types of cancers. We a...
Although many neurotoxicity prediction studies of food additives have been developed, they are appli...
Non-obstructive azoospermia (NOA) is among the most severe factors for male infertility, but our und...
Ali-M3, an artificial intelligence program, analyzes chest computed tomography (CT) and detects the ...
BACKGROUND: Identification of molecular mechanisms that determine tumour progression in cancer patie...
We show analytically that training a neural network by conditioned stochastic mutation or neuroevolu...