Latest AI and machine learning research in genetics for healthcare professionals.
Utilities face serious obstacles from power theft, which calls for creative ways to maintain income ...
The integration of morphological attributes extracted from histopathological images and genomic data...
Lung adenocarcinoma (LUAD) poses significant challenges due to its complex biological characteristic...
Amelogenesis imperfecta (AI) is a genetic disease characterized by poor formation of tooth enamel. A...
BACKGROUND: Intracerebral hemorrhage (ICH) is a severe stroke subtype with high morbidity, disabilit...
Deciphering the mechanisms governing protein-DNA interactions is crucial for understanding key cellu...
BACKGROUND: Copy number variants (CNVs) have become increasingly instrumental in understanding the e...
PURPOSE OF REVIEW: The purpose of this review was to provide a summary of currently available retina...
Binding of partners and mutations highly affects the conformational dynamics of KRAS4B, which is of ...
This study aims to develop sorafenib-loaded self-assembled nanoparticles (SFB-SANPs) using the combi...
Medical Concept Normalization (MCN) is a crucial process for deep information extraction and natural...
We describe the machine learning tool that we applied in the CAGI 6 experiment to predict whether si...
The pathological cascade of spinal cord injury (SCI) is highly intricate. The onset of neuroinflamma...
BACKGROUND: Hypodontia is the most prevalent dental anomaly in humans, and is primarily attributed t...
The subcellular localization of messenger RNA (mRNA) not only helps us to understand the localizatio...
Chemical mutagenesis-driven forward genetic screens are pivotal in unveiling gene functions, yet ide...
Synthetic lethality (SL) and synthetic viability (SV) are commonly studied genetic interactions in t...
Viral infections significantly impact the immune system, and impact will persist until recovery. How...
Background : Extracorporeal membrane oxygenation (ECMO) is an effective technique for providing shor...
BACKGROUND: Identification of lung cancer subtypes is critical for successful treatment in patients,...
Electroencephalography (EEG) or Magnetoencephalography (MEG) source imaging aims to estimate the und...