Latest AI and machine learning research in allergy & immunology for healthcare professionals.
Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by an aggressive clinical course, high propensity for hepatic metastasis, and poor survival after metastatic progression. Improvements in ocular imaging and local therapies have improved primary tumor control, but approximately half of patients will ultimately develop metastatic disease with poor trea...
Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory and metabolic programs, which affect tumor progression, immune escape, and treatment response. To identify biomarkers related to this inflammation-metabolism axis, we developed an integrative framework combining single-cell RNA sequencing, bulk transcriptomic cohorts, machine learning, immune and drug...
BACKGROUND & AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a complex, multifactorial condition. To achieve truly personali...
Asthma caused around 436,000 deaths globally in 2021. Predicting asthma attacks can save lives, reduce costs, and strengthen healthcare systems. Howev...
BACKGROUND: To evaluate the comparative value of traditional clinical features and novel immune-inflammatory indices in assessing disease activity in ...
Despite remarkable advances in transplant pathology, molecular diagnostics, imaging, and biomarker discovery, uncertainty remains an intrinsic feature...
PURPOSE: Muscle-invasive bladder cancer (MIBC) remains biologically heterogeneous, and clinicopathological variables do not fully capture epithelial-s...
Non-small cell lung cancer (NSCLC) is the most common cancer-related cause of death among all countries globally, mostly because of late diagnosis, he...
BACKGROUND: Head and neck squamous cell carcinomas (HNSCCs) cause considerable morbidity and mortality. Multimodal treatment strategies can cause sign...
Cancer is among the major causes of morbidity and mortality worldwide, and current treatment methods are limited by various drawbacks such as drug res...
Deep learning holds significant promise for improving clear cell renal cell carcinoma (ccRCC) diagnosis and treatment. However, studies concerning tum...
BACKGROUND: The aim of this study is to compare the performance of three large language models (ChatGPT 5, Microsoft Copilot, and Google Gemini 3), wi...
BACKGROUND: Psoriasis is a multifaceted skin and systemic disorder driven by a complex interplay of genetic, immunological, and environmental factors....
Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous malignancy with poor prognosis, accompanied by metabolic reprogramming and tum...
BACKGROUND: Allergic rhinitis (AR) is a prevalent chronic condition, yet the cellular and molecular changes associated with its pathogenesis remain in...
BACKGROUND: Mitochondrial dysfunction and neuroinflammation are critically implicated in the pathogenesis of Alzheimer's disease (AD). However, a syst...
OBJECTIVE: This study aimed to develop a robust transcriptomic diagnostic signature for Sjögren's disease (SjD; formerly Sjögren's syndrome) and eluci...
UNLABELLED: The atopic march describes the progression from infantile food allergy (FA) to allergic rhinitis (AR) in later childhood. However, not all...
BACKGROUND: Host metabolic programs are increasingly recognized as key modulators of tuberculosis (TB) immunopathology, yet manganese metabolism-relat...
Microvascular invasion (MVI) is a key prognostic factor in hepatocellular carcinoma but is currently only detectable after surgery. Here, we develop M...