Latest AI and machine learning research in intensivists for healthcare professionals.
Within a recent decade, graph neural network (GNN) has emerged as a powerful neural architecture for...
Cis-regulatory elements (cREs) play a crucial role in regulating gene expression and determining cel...
Magnetic susceptibility source separation (χ-separation), an advanced quantitative susceptibility ma...
Sepsis is a life-threatening disease with a high mortality rate, for which the pathogenetic mechanis...
Functional peptides are short amino acid fragments that have a wide range of beneficial functions fo...
In-context learning enables large language models (LLMs) to perform a variety of tasks, including so...
Sepsis is a life-threatening systemic inflammatory syndrome characterized by a complex immune biphas...
BACKGROUND: Evidence suggests a bidirectional association between chronic obstructive pulmonary dise...
Facing the problems of large-scale rapid and disorderly loading, the robotic arm has the problems of...
Personal protective equipment (PPE) is critical for ensuring the safety of construction workers. How...
In order to enhance the accuracy of rice leaf disease detection in complex farmland environments, an...
INTRODUCTION: Heart Failure (HF) complicated by thyroid dysfunction presents a complex clinical chal...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a major contributor to global morbidity ...
Hyperspectral Image (HSI) classification tasks are usually impacted by Convolutional Neural Networks...
As the fashion e-commerce markets rapidly develop, tens of thousands of products are registered dail...
The automated valuation model (AVM) has been widely used by real estate stakeholders to provide accu...
In many applications, such as coverage exploration and search and rescue missions, accurately assess...
In this study, the biological activities of Lactarius deliciosus were determined. Experimental studi...
In recent years, computationally assisted diagnosis for classifying autism spectrum disorder (ASD) a...
This study aimed to develop and validate a nomogram based on lymphocyte subtyping and clinical facto...
In recent times, graph representation learning has been becoming a hot research topic which has attr...