Allergy & Immunology

Artificial Intelligence and Nasal Cytology: Toward a Comprehensive Cytological Endotyping of Rhinitis.

Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator.

Cardiovascular disease represents the leading cause of mortality in China, accounting for over 40% o...

Multi-omics integration reveals ANXA6-high γδ T cell-endothelial communication as a potential link between periodontitis and MASLD.

Periodontitis (PD) and metabolic dysfunction-associated steatotic liver disease (MASLD) were highly ...

Biotechnology advances and the parasitology paradigm: From genomes to multi-omics and translation.

Parasitic diseases impose a substantial and often underestimated burden on human and animal health, ...

OptiSyn: an interpretable, multi-omics-driven graph convolutional network framework for synergy-oriented drug combination design in disease treatment.

BACKGROUND: Bioinformatics and large-scale computational modelling have emerged as essential researc...

Harnessing the gut microbiota in extra-intestinal cancers: from causal evidence to immunotherapy strategies.

The gut microbiota (GM) has emerged as a key modulator of cancer development and therapeutic respons...

Differential Factors Associated With the Presence of Persistent Symptoms in Individuals Diagnosed With Long COVID: Protocol for a Longitudinal Matched Case-Control Study.

BACKGROUND: Long COVID (postacute sequelae of SARS-CoV-2 infection) is a heterogeneous condition wit...

Severe COVID-19 in the Republic of Korea: Epidemiology, Risk Factors, Therapeutics, and Prognostic Models From Nationwide Data.

Severe coronavirus disease 2019 (COVID-19) has posed ongoing clinical and public health challenges w...

Machine learning derived ORC6 as a hub biomarker for predicting tumor microenvironment, prognoses, and therapeutic responses in lung adenocarcinoma.

The origin recognition complex (ORC) is a DNA-binding complex composed of six subunits involved in D...

FTO-CHRM3 axis regulates multiple myeloma progression: a machine learning-based identification.

BACKGROUND: Fat Mass and Obesity-Associated (FTO) is linked to multiple myeloma (MM) progression, bu...

Artificial intelligence in atopic dermatitis: Current applications and future perspectives.

Atopic dermatitis (AD) is a prevalent and burdensome chronic skin disease, with profound effects on ...

Communication, compassion, and shared decision-making in allergy.

Shared decision-making (SDM) is a structured approach to clinical care that integrates the best avai...

Precision oncology meets nanotechnology: AI-driven liposomal nanocarriers for enhanced cancer immunotherapy.

The integration of artificial intelligence (AI) with nanotechnology is redefining therapeutic strate...

Teriparatide reduces spinal neuroinflammatory phenotypes in ovariectomized rats revealed by an artificial intelligence-driven glial cell morphometry of bright-field tissue sections.

Osteoporosis frequently presents with lower back pain, often accompanied by hypersensitivity, even i...

Unveiling the prognostic and therapeutic landscape of the zinc transporter protein SLC39A family in colorectal cancer through multi-omics and machine learning approaches.

Colorectal cancer (CRC) remains a significant global health challenge due to its high prevalence and...

Beyond fluorescence: A critical look at AI-powered brightfield analysis for T-cell killing assays.

This comment evaluates dela Cruz-Chuh et al.'s AI-based label-free workflow for analyzing T-cell med...

Deciphering lung adenocarcinoma heterogeneity: a multi-omics approach reveals nuclear division fibroblasts as prognosticators and therapeutic targets.

BACKGROUND: Lung adenocarcinoma (LUAD) is a predominant contributor to cancer‑related mortality glob...

ChatGPT versus UpToDate in Preclinical Medical Education: Cross-Sectional Analysis Using Term Frequency-Inverse Document Frequency Cosine Similarity.

BACKGROUND: Generative artificial intelligence tools such as ChatGPT are increasingly used by medica...

Integrating bioinformatics, machine learning and molecular biology to elucidate the anti-allergic mechanisms of ginkgo biloba leaves.

Allergic diseases, encompassing allergic asthma, atopic dermatitis, food allergies, have emerged as ...

Challenges and Opportunities for Improved Tuberculosis and HIV Prevention in South America.

Tuberculosis (TB) and human immunodeficiency virus (HIV) cause significant morbidity and mortality i...

Explainable Artificial Intelligence for Predicting Length of Stay and Treatment Response in Pediatric Asthma and Allergic Rhinitis: An Irregular Fuzzy Cellular Automata Approach Across Pre- and During-COVID-19 Periods.

OBJECTIVE: The COVID-19 pandemic significantly altered treatment strategies and healthcare utilizati...