Allergy & Immunology

Machine Learning-Based Prediction of Postoperative Vasoplegia After Cardiac Surgery.

OBJECTIVE: To develop and internally validate a machine-learning model for the early prediction of postoperative vasoplegia after cardiac surgery. DESIGN: A retrospective cohort study with model development and internal validation. SETTING: Tertiary academic intensive care units (ICUs) using routinely collected perioperative and postoperative clinical data. PARTICIPANTS: Adults admitted to intensi...

Development of Artificial Intelligence for Quantitative Assessment of Nasal Inflammatory Cytology in Chronic Rhinitis by Whole-Slide Images.

BACKGROUND: Chronic rhinitis (CR) is currently recognized as a syndrome that manifests in different phenotypes. We aimed to establish an artificial intelligence system (quantitative assessment of nasal inflammatory cytology, QANIC) on the basis of whole-slide images (WSIs) to enable quantitative assessment of nasal inflammatory cells. METHODS: During the development phase of QANIC, we screened nas...

Turmeric extracellular vesicles-derived "all-in-one" nanoagent enables full-cycle synergistic immunomodulation of lung cancer.

Lung cancer's metastatic propensity and recurrence prevalence necessitate innovative immunotherapy strategies beyond conventional single-mode regulati...

Application of a natural language processing algorithm to early asthma ascertainment for adults in the era of electronic health records.

BACKGROUND: The natural language processing (NLP) algorithm for predetermined asthma criteria (NLP-PAC) was successfully developed and validated for a...

Explainable artificial intelligence for multi-modal cancer analysis: From genomics to immunology.

Cancer remains one of the most biologically intricate and heterogeneous diseases, with variability spanning genetic, epigenetic, metabolic, spatial, a...

Methodology for the Development of the Allergic Rhinitis and Its Impact on Asthma (ARIA)-EAACI 2024-2025 Guidelines: From Evidence-to-Decision Frameworks to Digitalised Shared Decision-Making Algorithms.

The Allergic Rhinitis and its Impact on Asthma (ARIA) guidelines produced their first edition in 1999, with subsequent revisions in 2008, 2010, 2016 a...

Deep Learning Reconstruction for 129Xe Diffusion-Weighted MRI Enables Use of Natural Abundant Xenon and Improved Image Acceleration.

PURPOSE: (i) To assess whether 129Xe apparent diffusion coefficient (ADC) and diffusive length scale (LmD) metrics are quantitatively preserved with d...

Molecular targeted therapies, omics, and AI based theranostics approaches for the treatment of prostate cancer.

Cancer is a disease that begins with genetic and epigenetic alterations occurring in specific cells, some of which can spread and migrate to other tis...

Trajectories of affective disorders: neurobiological mechanisms during symptom change.

Effective treatment of affective disorders (AD) requires a deep understanding of the underlying neurobiological mechanisms. However, in machine-learni...

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 high mortality, recurrence, and metastasis. Despite a...

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 receiving penicillin/beta-lactamase inhibitor therap...

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 approaches. One technique that has lately been recog...

Immunofixation electrophoresis image interpretation using transfer learning method.

INTRODUCTION: Immunofixation electrophoresis (IFE) is the gold standard for identifying monoclonal proteins in plasma cell disorders, but its interpre...

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 checkpoint inhibitors (ICIs) have revolutionized L...

Novel growth pattern-specific digital marker of TILs improves stratification of lung adenocarcinoma patients.

Lung adenocarcinoma (LUAD) is one of the most prevalent forms of cancer and continues to be associated with high mortality rates, despite recent advan...

Simulation-guided optimization of one-step gold nanoparticle amplification for paper-based detection of anti-IFN-γ autoantibodies.

Adult-onset immunodeficiency (AOID) caused by anti-interferon-γ autoantibodies (anti-IFN-γ Abs) lacks rapid, sensitive diagnostic tools suitable for f...

Integrated bioinformatics and machine learning analysis identify CROT as a regulator of immunological features in idiopathic pulmonary fibrosis.

Mitochondrial dysfunction and immune dysregulation contribute to the pathogenesis of idiopathic pulmonary fibrosis (IPF). This study systematically id...

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, but it has not been until the past few years that ...

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 govern tumor growth and clinical outcome. While multi...

Spatially resolved airway niches: mapping epithelial-immune microenvironments in asthma.

INTRODUCTION: Spatially resolved omics has reconceptualized the bronchial wall as a mosaic of epithelial - immune microenvironments whose local molecu...