Allergy & Immunology

An AI-augmented review of childhood atopic dermatitis biomarkers across genetic, immune, microbial, and metabolic domains.

BACKGROUND: Atopic dermatitis (AD) is a prevalent inflammatory skin disease and a major source of di...

Identifying predictor factors for asthma using machine learning: evidence from the English Longitudinal Study of Ageing.

BACKGROUND: Asthma is a common chronic inflammatory airway disease. Accumulating evidence highlights...

Exploration of optical nanosensors for environmental and biomedical applications: a comprehensive review.

Optical nanosensors represent a rapidly developing class of analytical tools for biomedical diagnost...

Multidimensional analysis of tumour immune microenvironment in HCC: prognostic significance and implications for immunotherapy.

BACKGROUND: The combination of immune checkpoint inhibitors (ICIs) and anti-angiogenic agents repres...

Exploring potential key genes and mitotic catastrophe-associated correlates in sepsis-induced acute respiratory distress syndrome using transcriptomics and experimental validation.

BACKGROUND: Sepsis-induced acute respiratory distress syndrome (ARDS) is a life-threatening form of ...

Artificial intelligence and asthma: Pros, cons, and potential impact on community outcomes.

Artificial neural network modelling using complete blood count for the early detection of black lung disease among Indonesian coal miner: A retrospective longitudinal study.

BACKGROUND: Black lung disease remains a major occupational health problem among coal miners and is ...

Machine learning-based MPO and Lp-PLA2 profiling reveals asthma-predominant inflammatory signature in asthma-COPD overlap.

BACKGROUND: Asthma-COPD overlap (ACO) remains poorly characterized at the molecular level, leading t...

Leveraging multimodal cancer immunotherapy to amplify the efficacy of oncolytic viruses.

Oncolytic viruses (OVs) represent a versatile platform for cancer immunotherapy, capable of selectiv...

AI-driven Approach to Treat Acute Coronary Syndrome: A Review on Integration of AlphaFold in Cardiovascular Genomics.

INTRODUCTION: The constantly evolving nature of diseases has put humanity in a never- ending struggl...

Diagnostic Model Construction of Mitochondrial-Mitophagy Related Genes and Their Regulatory Network and Potential Drug Discovery in Childhood Allergic Asthma.

Childhood allergic asthma (CAA) is a chronic airway inflammatory disorder driven by allergens, and i...

Single-cell and machine learning-based neural regulation signature for prognosis prediction and immunotherapy response in lung adenocarcinoma.

OBJECTIVE: Lung adenocarcinoma (LUAD) molecular heterogeneity limits traditional prognostic models. ...

Bioinformatics roadmap for characterizing the gut microbiome to study its interactions and associations with the gut mucosal immune system.

Cataloging the gut microbiome and understanding its interactions and association with the host immun...

Explainable machine learning to predict immunotherapy outcomes in metastatic renal cell carcinoma - Meet-URO 15-AI study.

Metastatic renal cell carcinoma remains clinically challenging because of heterogeneous outcomes and...

Identification and Experimental Verification of Key Genes Related to the Ras Signaling Pathway and the Hippo Signaling Pathway in Osteoarthritis Based on Transcriptome Data.

BACKGROUND: Osteoarthritis (OA) is a chronic degenerative joint disease characterized by the progres...

ADC Target Profiling in NSCLC: Generalizable AI Separates TROP-2 and cMET Phenotypes.

PURPOSE: Antibody-drug conjugates (ADC) targeting trophoblast cell surface antigen 2 (TROP-2) and cM...

Calceolarioside B alleviates airway barrier dysfunction and inflammation via targeting P2Y6R in OVA-triggered asthma.

Asthma is a chronic inflammatory airway disease characterized by barrier dysfunction and excessive i...

Metabolic reprogramming of myeloid cells in cancer: from lactate-NAMPT axis to AI-guided therapeutics.

Myeloid cells-including macrophages, monocytes, neutrophils and dendritic cells-are metabolically pl...

Detecting Adverse Events Following Acute Care Encounters among Veterans Prescribed Non-Steroidal Anti-Inflammatory Drugs.

OBJECTIVES: To model the occurrence of adverse events (AEs) among Veterans prescribed nonsteroidal a...

AI-Assisted Automated Two-Stage Patch Test Interpretation System Using Vision Transformer.

BACKGROUND: Patch testing, the gold standard for allergic contact dermatitis (ACD) diagnosis, suffer...

Harnessing Machine Learning and Electronic Health Record Data to Improve Asthma Management.

PURPOSE OF REVIEW: The review examines the application of machine learning (ML) and large language m...