Allergy

Integrated multi-omics analyses identified the H3K18la-based spatiotemporal characteristics and risk-stratified treatment strategy in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is the most common histological type of lung cancer, characterized by hig...

Development of a predictive model for eosinophilia in patients treated with ampicillin/sulbactam or piperacillin/tazobactam.

AIM: We aim to identify risk factors for antibiotic-induced eosinophilia in hospitalized patients re...

Drug Repurposing in Oncology: A Strategic Pathway to Unlocking New Therapeutic Potential.

The growing number of cancer cases and deaths highlights the urgent need for innovative treatment ap...

Emerging options and future strategies in immunotherapy for advanced lung squamous-cell carcinoma.

Advanced-stage lung squamous-cell carcinoma (LUSC) remains a therapeutic challenge. Although immune ...

Quercetin as a Therapeutic Agent for Oral Cancer: Current Evidence and Future Directions.

Oral cancer, specifically oral squamous cell carcinoma, is rapidly progressive, with a high recurren...

Updates on Artificial Intelligence-Assisted Allergic Rhinitis and its Impact on Asthma Care Pathways.

The use of artificial intelligence (AI) in medicine has been growing steadily over the past decade, ...

Enhanced prediction of breast cancer patient response to chemotherapy by integrating deconvolved expression patterns of immune, stromal and tumor cells.

The tumor microenvironment (TME) is a complex ecosystem of diverse cell types whose interactions gov...

Diagnosis of Acute, Chronic (with and without Nasal Polyps), and Fungal Sinusitis.

Rhinosinusitis is a spectrum of diseases with varied causes, presentations, and diagnostic approache...

CSF1R and macrophage infiltration: Integrated magnetic resonance imaging radiomics and deep learning-driven models for the preoperative assessment of glioma.

BACKGROUND: Colony-stimulating factor-1 receptor (CSF1R) signaling is crucial for the ability of tum...

Multi-omics and machine learning framework reveals ABCG2 as a therapeutic target of Eleven Flavored Shenqi Tablets in clear cell renal cell carcinoma.

ETHNOPHARMACOLOGICAL RELEVANCE: Eleven Flavored Shenqi Tablets (EFST) is a classical multi-herbal pr...

Anxiety Promotes Occlusal Interference-Induced Myalgia via the Mesolimbic System.

Acute occlusal interference may induce chronic masticatory myalgia in some individuals. The potentia...

Machine Learning-Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy.

BACKGROUND: Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic...

GPT-4o in Nutrition for Inpatients Undergoing Post-Stroke Rehabilitation: Identifying Dietary Errors, Exploring Expert-AI Rationale Differences, and Structuring AI-Expert Collaboration.

OBJECTIVE: Inpatients undergoing stroke rehabilitation experience high malnutrition rates, requiring...

Artificial intelligence-based pollen classification machine in apiculture: design, implementation and evaluation.

BACKGROUND: Bee pollen is a bioactive substance valued for its nutritional and health-promoting prop...

Artificial intelligence chatbots for atopic dermatitis: Accuracy, readability, and concordance with American Academy of Dermatology guidelines.

Honey bee nutritranscriptomics reveals key insights towards precision nutrition.

INTRODUCTION: Honey bees are essential managed pollinators faced by nutritional deficiencies which c...

Machine Learning Model for an App-Based Tool to Assist With the Diagnosis of Canine Atopic Dermatitis.

BACKGROUND: Canine atopic dermatitis (cAD) is a chronic condition requiring life-long management. Ac...

Label-free, machine-learning assisted impedance assessment of basophil activation.

Food allergies are increasing in prevalence, yet current diagnostic tests remain either inaccurate o...

Nivolumab plus ipilimumab for potentially resectable hepatocellular carcinoma: Long-term efficacy and biomarker exploration.

BACKGROUND & AIMS: Immune checkpoint inhibitor-based combination therapy has demonstrated high objec...

A Metabolism-Driven Prognostic Model and PSMD14-SP1-GYS1 Axis Reveal Therapeutic Vulnerabilities in Melanoma.

Melanoma is a highly aggressive cutaneous malignancy characterized by a strong propensity for metast...

Machine learning in allergy research: A bibliometric review.

The emergence of big data and analytic approaches initiated research efforts to characterise differe...