Allergy & Immunology

Prospective germline exome and machine learning-based risk score identify predictive and prognostic biomarkers of immunotherapy outcomes in advanced non-small cell lung cancer.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape of advanced...

Immune cell delivery platforms for tumor therapy: From empirical approaches to AI-integrated frameworks.

The heterogeneity and immunosuppressive characteristics of the tumor microenvironment present signif...

Spatial omics of immunity: Mapping cellular landscapes in tissue microenvironments.

The tumor microenvironment (TME) is composed of diverse heterogeneous components and plays a crucial...

On-device cough detection and respiratory disease classification enhanced by generative data augmentation.

BACKGROUND: Cough sounds are accessible, non-invasive biomarkers for respiratory disease assessment ...

Landscape of T-cell bispecific antibodies in cancer therapy: therapeutic strategies, challenges and future prospection.

T-cell bispecific antibodies (TCBs), a specialized subclass of bispecific antibodies (BsAbs), are en...

Ferroptosis in cancer: integrating multi-omics, AI-driven biomarkers, and translational challenges.

Ferroptosis, an iron-dependent regulated cell death driven by lipid peroxidation, has emerged as a p...

Targeting Type 2 and Non-type 2 Asthma: Emerging Biologics and Personalized Strategies.

PURPOSE OF REVIEW: Asthma continues to pose a serious global health issue affecting billions of peop...

AI-Based Quantitative Nasal Cytology for Predicting Eosinophilic Chronic Rhinosinusitis With Nasal Polyps: A Pilot Study.

Supervised deep learning with gene functional annotation for cell classification.

Gene-by-gene differential expression analysis is a widely used supervised approach for interpreting ...

AI for predicting exacerbations in KIDs with asthma (AIRE-KIDS).

Recurrent acute care visits are a common yet preventable outcome for many children with asthma. Mach...

Harnessing Artificial Intelligence to Counter Microbial Immune Evasion Strategies.

BACKGROUND: Microbial pathogens deploy sophisticated mechanisms to evade host immune responses, comp...

CCDC6, a ferroptosis-related gene, modulates stemness features of pancreatic cancer cells in vitro.

OBJECTIVE: Pancreatic cancer (PC) poses a significant threat to patient quality of life. Ferroptosis...

Combining bioinformatics and machine learning to analyze and validate sepsis-related cell senescence genes and potential drugs.

Sepsis is a life-threatening organ malfunction induced by the host's abnormal reaction to infection....

Automatic framework for PD-L1 expression evaluation in Latino patients with non-small cell lung cancer.

Programmed death ligand-1 (PD-L1) expression is a key biomarker for identifying non-small cell lung ...

Neoadjuvant Immunotherapy in Locally Advanced Head and Neck Squamous Cell Carcinoma: From Oncologic Outcomes to Response-Adaptive Treatment De-escalation.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) are associated with poor 5-year survival a...

AI-driven big data analysis and predictive modeling of infectious disease immunity: from correlates to causal, multiscale understanding.

The ability to reliably predict protective immunity against infectious diseases remains a central ch...

Machine learning-based screening model for Tic disorders comorbid with attention-deficit/hyperactivity disorder in children and SHAP value interpretation: a retrospective observational study.

Tic disorders (TD) are common neurodevelopmental conditions in children and adolescents, characteriz...

Advancing child health: forecasting the next great research achievements.

Advances in pediatric research have improved the lives of infants, children, adolescents, and societ...

Screening of the key gene PAMR1 in breast cancer and its immunological and pharmacogenomic characteristics.

Breast cancer (BC) is a highly heterogeneous malignancy with a complex pathogenesis involving multip...

ABCC2 as a novel therapeutic target in lung adenocarcinoma: a machine learning-driven discovery linking ammonia metabolism to prognosis and drug resistance.

BACKGROUND: Ammonia, long regarded as a metabolic waste product, has recently been recognized as a p...

Vasoactive intestinal peptide associated 8-gene signature with prognostic and immune associations in melanoma.

Vasoactive intestinal peptide (VIP) plays a multifaceted role in cancer biology, yet its prognostic ...