Allergy & Immunology

Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole-Blood RNA Transcriptome.

OBJECTIVE: Antiphospholipid syndrome (APS) is a thromboinflammatory disorder characterized by clinic...

artificial intelligence-enabled precision medicine for inflammatory skin diseases.

Recent advances in artificial intelligence (AI) and multimodal data collection are revolutionizing d...

Beyond handcrafted radiomics in oncologic imaging: Innovations in deep, explainable, multi-site and multi-omics radiomics approaches.

Radiomics seeks to convert medical images into quantitative biomarkers capable of capturing tumor ph...

Automating classification of treatment responses to combined targeted therapy and immunotherapy in HCC.

Tyrosine kinase inhibitor (TKI) combined with immunotherapy regimens are now widely used for treatin...

Improving machine-learning development in allergology: bridging the gap between open-access and cohort-based databases.

PURPOSE OF REVIEW: The advent of high-throughput data generation and artificial intelligence has tra...

The use of advanced machine learning to predict outcomes after atezolizumab plus bevacizumab for advanced hepatocellular carcinoma: a retrospective cohort study.

BACKGROUND: Combination immune checkpoint inhibitors are recommended as first-line therapy for advan...

Association of Circulating T Cell and Tumor Microenvironment Profiles with Immune Checkpoint Blockade Outcome in Sarcoma.

PURPOSE: Immune checkpoint blockade (ICB) benefits only a subset of sarcoma patients. Biomarkers of ...

Inference of SARS-CoV-2 exposure biomarkers using large-scale T-cell repertoire profiling.

BACKGROUND: The COVID-19 pandemic offers a powerful opportunity to develop methods for monitoring th...

Projected typical allergic diseases prevalence under changing environments based on multiple machine learning models.

Establishment of insulin resistance-related ten-gene signature in endometrial cancer and identification of ACTL8 as a prognostic and immunological biomarker.

BACKGROUND: Endometrial cancer (EC) is a common gynecological tumor. Insulin resistance (IR) increas...

Advancing prussian blue nanoparticle-mediated photothermal therapy through machine learning and multiomics integration.

Prussian blue nanoparticles (PBNPs) are a versatile platform for administering photothermal therapy ...

Predictive modeling of molecular activity underlying physical cell-cell interactions.

Interactions between cells are central to tissue organization and function in health and disease. La...

Atopic Dermatitis in Denmark: Regional Variation.

Using national registers, this study investigates regional variations in the number of individuals w...

Evaluation of large Language models on pediatric asthma: a comparative study of Claude3-Opus, Gemini 2.0, ChatGPT-4o, and DeepSeek-a cross-sectional questionnaire study.

Integrative bioinformatics and experiments identify RIBC2 as a key regulator in the esophageal cancer.

Early detection of esophageal cancer (EC) remains a major challenge due to the limited understanding...

Proteomics-driven innovations in plant-based foods: Current advances, emerging technologies, and future perspectives.

Despite rapid market growth, plant-based foods such as meat analogs, plant-based milk, yogurt altern...

Inhibition of the p38/JNK MAPK pathway mediated by circadian rhythm genes: Study of the mechanism of Linggan Wuwei Jiangxin decoction in the treatment of COPD.

ETHNOPHARMACOLOGICAL RELEVANCE: Chronic obstructive pulmonary disease (COPD) is a frequently encount...

Trichosanthes kirilowii extract alleviated liver fibrosis and acute myocardial infarction by inhibiting VCAN to restrain monocyte senescence: Insights from bioinformatic analyses and experimental validation.

BACKGROUND: Liver fibrosis and acute myocardial infarction (AMI) tended to co-occur. Cellular senesc...

Development and validation of a machine learning stratified prediction model for early warning of anti-tuberculosis drug-induced liver injury risk based on real-world data: a retrospective cohort study.

OBJECTIVE: This study aimed to develop and validate stratified machine learning models for early pre...

Integrative analysis of immune and microbial subtypes predicts immunotherapy response in stomach adenocarcinoma.

The tumor immune microenvironment and intratumoral microbiota play critical roles in cancer progress...

[Imaging of eosinophilic pneumonia : Differential diagnosis in radiological practice].

CLINICAL/METHODICAL ISSUE: Eosinophilic pneumonias are rare inflammatory lung diseases with heteroge...