Latest AI and machine learning research in asthma for healthcare professionals.
BACKGROUND: Asthma is the most common chronic disease in children. Suboptimal asthma control is prev...
OBJECTIVE: To identify the most influential features of asthma control in children and to assess whe...
In recent years, optimization-inspired networks that integrate optimization theory into deep neural ...
OBJECTIVES: Alpha-1-antitrypsin deficiency (AATD) is a rare genetic disorder leading to chronic obst...
PURPOSE OF REVIEW: Immediate hypersensitivity disorders, such as asthma, food intolerance, and anaph...
BACKGROUND: The natural language processing (NLP) algorithm for predetermined asthma criteria (NLP-P...
The Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines produced their first edition in 199...
The use of artificial intelligence (AI) in medicine has been growing steadily over the past decade, ...
INTRODUCTION: Spatially resolved omics has reconceptualized the bronchial wall as a mosaic of epithe...
BACKGROUND: Depression is prevalent among asthma patients, negatively impacting their quality of lif...
Large language models (LLMs) such as ChatGPT, Claude, and Gemini have become widely accessible since...
OBJECTIVE: Inpatients undergoing stroke rehabilitation experience high malnutrition rates, requiring...
BACKGROUND: Bronchial asthma is a complex, highly heterogeneous disease involving multiple pathologi...
Asthma is a complex inflammatory disease of the airways, affecting over 300 million individuals glob...
BACKGROUND: Equine asthma is a prevalent respiratory disease that negatively impacts horses' health ...
The rising incidence of allergic disorders has emerged as a pressing public health issue worldwide, ...
OBJECTIVE: Asthma is the most common chronic disease of childhood, characterized by symptoms such as...
. Air trapping is a major symptom of respiratory diseases like chronic obstructive pulmonary disease...
This study aims to explore the association between anoikis-related genes (ARGs) and asthma. The data...
The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highl...
OBJECTIVES: To identify and characterise distinct subgroups of patients with asthma with severe acut...