Latest AI and machine learning research in genetics for healthcare professionals.
Products no longer exist simply as carriers of useful functions, but more and more consumers are beg...
SARS-CoV2 pandemic exposed the limitations of artificial intelligence based medical imaging systems....
BACKGROUND: Interleukin 18 (IL-18) promoter polymorphisms (-656G > T, -607C > A, and -137G > C) affe...
PURPOSE: Artificial intelligence (AI) and variant prioritization tools for genomic variant analysis ...
BACKGROUND: Deep learning is an active bioinformatics artificial intelligence field that is useful i...
Conventional cancer therapies, including surgery, radiotherapy, and chemotherapy, are not tumor site...
Thalassemia is an inherited blood disorder in which the body produces defective hemoglobin. One of t...
This study used k-mer embeddings as effective feature to identify DNA N6-Methyladenine sites in plan...
Sickle cell disease, a genetic disorder affecting a sizeable global demographic, manifests in sickle...
This study aimed to analyze the effect of the deep learning algorithm on ultrasound elastography on ...
The scale of genetic, epigenomic, transcriptomic, cheminformatic and proteomic data available today,...
Enlargement or aneurysm of the aorta predisposes to dissection, an important cause of sudden death. ...
Chromosomes are bodies that contain human genetic information. Chromosomal disorders can cause struc...
Bovine respiratory disease (BRD) is a multifactorial disease involving complex host immune interacti...
Traditional text annotation-based video retrieval is done by manually labeling videos with text, whi...
Facing the threat of rapidly worsening water quality, there is an urgent need to develop novel appro...
Stem/progenitor cell transplantation is a potential novel therapeutic strategy to induce angiogenesi...
Computer-aided composition is an attempt to use a formalized process to minimize human (or composer)...
The prediction of gross domestic product (GDP) is a research hotspot, and its importance is self-evi...
Machine learning obtains good accuracy in determining the number of contributors (NOC) in short tand...
INTRODUCTION: The regenerative capacity of mesenchymal stromal cells or medicinal signaling cells (M...