Latest AI and machine learning research in fda general for healthcare professionals.
Patulin, a toxic mycotoxin, can contaminate apple-derived products. The FDA has established an actio...
With promising artificial intelligence (AI) algorithms receiving FDA clearance, the potential impact...
When designing live-attenuated respiratory syncytial virus (RSV) vaccine candidates, attenuating mut...
Toxicological studies have demonstrated the hepatic toxicity of several bisphenol analogs (BPs), a p...
m6A methylation, a ubiquitous modification on circRNAs, exerts a profound influence on RNA function,...
Large language models (LLMs) are advanced artificial intelligence (AI) systems that excel in recogni...
Biomacromolecule structures are essential for drug development and biocatalysis. Quantum refinement ...
The relationship between psychological stress, altered skin immunity, and autophagy-related genes (A...
Tooth decay is a common oral disease worldwide, but errors in diagnosis can often be made in dental ...
Alzheimer's disease (AD) is one of the most prevalent chronic neurodegenerative disorders globally, ...
The worldwide spread of the metallo-β-lactamases (MBL), especially New Delhi metallo-β-lactamase-1 (...
RNA modification serves as a pivotal component in numerous biological processes. Among the prevalent...
Understanding the influence of cis-regulatory elements on gene regulation poses numerous challenges ...
BACKGROUND: Advanced unresectable gastric cancer (GC) patients were previously treated with chemothe...
PURPOSE: OAR delineation accuracy influences: (i) a patient's optimised dose distribution (PD), (ii)...
Dams and reservoirs have significantly altered river flow dynamics worldwide. Accurately representin...
BACKGROUND AND OBJECTIVE: Lung cancer (LC) has a high fatality rate that continuously affects human ...
Image-based deep learning models are used to extract new information from standard hematoxylin and e...
The intricate nature of the blood-brain barrier (BBB) poses a significant challenge in predicting dr...
Machine teaching, a machine learning subfield, may allow for rapid development of artificial intelli...
INTRODUCTION: Current drug-drug interaction (DDI) detection methods often miss the aspect of tempora...