Allergy & Immunology

Screening for depression risk in asthma patients: Development and external validation of a machine learning-based predictive model.

BACKGROUND: Depression is prevalent among asthma patients, negatively impacting their quality of lif...

Body composition radiomics combined with machine learning for early recurrence prediction in intrahepatic cholangiocarcinoma following curative surgery: A Multi-Center study.

PURPOSE: Early recurrence (ER) of intrahepatic cholangiocarcinoma (ICC) after curative hepatectomy c...

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...

ChatGPT and other large language models for childhood asthma.

Large language models (LLMs) such as ChatGPT, Claude, and Gemini have become widely accessible since...

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...

Breaking the bottleneck of asthma treatment: the future of omni-targeted therapy.

BACKGROUND: Bronchial asthma is a complex, highly heterogeneous disease involving multiple pathologi...

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...

Probiotics, psychobiotics, and postbiotics: a therapeutic modality for the management of schizophrenia.

Schizophrenia is a debilitating, chronic neuropsychiatric disorder, a multifactorial disorder combin...

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...

Salt-inducible kinase 1 is a key gene in suppressing EVD68-induced asthma by modulating antiviral immunity.

Asthma is a complex inflammatory disease of the airways, affecting over 300 million individuals glob...

Machine learning in allergy research: A bibliometric review.

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

Harnessing biomarkers to guide immunotherapy in esophageal cancer: toward precision oncology.

Esophageal cancer (EC) is one of the most serious health issues around the world, ranking seventh am...

Identification of uridine phosphatase 1 as a potential therapeutic target in gastric cancer by integrated bioinformatics analysis and experimental validation.

Gastric cancer remains a major global health challenge, and its early diagnosis and prognosis predic...

Identification of key genes in intracranial aneurysm via WGCNA: insights into immune microenvironment and therapeutic targets.

BACKGROUND: Intracranial aneurysms (IA) are prevalent vascular lesions whose rupture causes subarach...

Convergence: Multi-omics and AI are reshaping the landscape biomedical research.

This special volume of Biochimica et Biophysica Acta - Molecular Basis of Disease showcases a transf...