Latest AI and machine learning research in genetics for healthcare professionals.
Precise estimations of RNA secondary structures have the potential to reveal the various roles that ...
The aim of our study was to develop robust diagnostic and prognostic models for lung adenocarcinoma ...
Patients with advanced idiopathic pulmonary fibrosis (IPF), a complex and incurable lung disease wit...
Language models, especially transformer-based ones, have achieved colossal success in natural langua...
Cognitive dysfunction caused by diabetes has become a serious global medical issue. Diabetic kidney ...
The study of fetal gut development is critical due to its substantial influence on immediate neonata...
Drug-induced Torsade de Pointes (TdP), a life-threatening polymorphic ventricular tachyarrhythmia, e...
In today's world, heart disease threatens human life owing to higher mortality and morbidity across ...
Transposon (IS200/IS605)-encoded TnpB proteins are predecessors of class 2 type V CRISPR effectors a...
Breast cancer stands as the most prevalent form of cancer amongst females, constituting more than on...
Curated online interaction databases and gene ontology tools have streamlined the analysis of highly...
Cattle breed identification is crucial for livestock research and sustainable food systems, and adva...
DNA cleavage by nanomaterials has the potential to be utilized as an innovative tool for gene editin...
In this study, a deep learning model based on quantum chemistry is introduced to enhance the accurac...
DNA nanotechnology plays a crucial role in precise cancer medicine. Currently, molecular logic circu...
Gastric cancer (GC) is a prevalent malignancy with high mortality rates. Immunogenic cell death (ICD...
Antimicrobials, such as antibiotics or antivirals are medications employed to prevent and treat infe...
Colorectal cancer (CRC) ranks as the third most common cancer globally and the second leading cause ...
Given the extensive heterogeneity and variability, understanding cellular functions and regulatory m...
Pathogenic variants underlying Mendelian diseases often disrupt the normal physiology of a few tissu...
The rise of large-scale, sequence-based deep neural networks (DNNs) for predicting gene expression h...