Latest AI and machine learning research in atopy for healthcare professionals.
Background: Drug reaction with eosinophilia and systemic symptoms (DRESS) and morbilliform drug eruption (MDE) are 2 distinct drug eruptions that can appear clinically similar at presentation. Given the significant morbidity of DRESS, there is a need for objective markers that can aid in early recognition.Objective: The purpose of this study is to explore the diagnostic potential of routine hemato...
Artificial intelligence (AI) is significantly transforming the specialty of allergy by offering novel tools for diagnosis, risk prediction, disease monitoring, and personalized care. This narrative review comprehensively explores key advances in the application of AI techniques-expert systems, machine learning, deep learning, and natural language processing-across various allergic diseases such as...
The 2026 report from the Global Initiative for Chronic Obstructive Lung Disease (GOLD) introduces substantial conceptual and practical updates to the ...
Spinal cord injury (SCI) causes multifaceted postural and motor impairments that are challenging to quantify. Conventional behavioral tests, such as t...
The Italian National Congress of Imaging in Pulmonology, held in Milan on November 21st, provided a unique educational platform exploring the evolving...
BACKGROUND: Nonsteroidal anti-inflammatory drug (NSAID) hypersensitivity is a common cause of drug-related reactions in children. Pre-test risk strati...
The expansion and potentiation of regulatory T cells (Treg cells) offer an appealing approach for achieving immune tolerance and controlling overactiv...
OBJECTIVE: This study aimed to identify inflammatory subtypes of asthma using peripheral blood transcriptomics and to derive candidate biomarkers supp...
PURPOSE OF REVIEW: Artificial intelligence (AI) has emerged as an increasingly accessible and influential resource within both public and clinical dom...
Artificial intelligence (AI) is rapidly advancing respiratory disease management, from diagnosis to population lung health. This scoping review synthe...
The growing ageing population presents significant challenges for healthcare systems, particularly in monitoring age-related physiological decline. Ag...
A central question in glass physics is whether dynamic heterogeneity of supercooled liquids can be inferred from static structure. Successful models b...
Psoriasis and eczema are chronic inflammatory skin diseases with overlapping histopathological features, which often lead to diagnostic uncertainty ev...
G-protein-coupled receptors (GPCRs) are a diverse family of seven-transmembrane domain receptors that play pivotal roles in various physiological and ...
BACKGROUND: Current atopic dermatitis (AD) therapy selection does not account for molecular drivers of disease, contributing to inadequate disease con...
BACKGROUND: Endocrine-disrupting chemicals (EDCs) are common environmental pollutants that affect human health. These chemicals have been linked to th...
BACKGROUND: There is increasing interest in the use of artificial intelligence (AI) to assist with respiratory diagnosis and risk prediction. Fuzzy lo...
OBJECTIVE: Antiphospholipid syndrome (APS) is a thromboinflammatory disorder characterized by clinical and mechanistic heterogeneity that complicates ...
ETHNOPHARMACOLOGICAL RELEVANCE: Chronic obstructive pulmonary disease (COPD) is a frequently encountered respiratory disease. Its clinical symptoms ar...