Allergy & Immunology

Micropeptides in Cancer and Immunity: Diagnostic, Therapeutic, and Synthetic Biology Frontiers.

Micropeptides are emerging as a previously hidden layer of the human proteome, redefining the long-standing separation between coding and noncoding genomic regions. Once dismissed as translational noise, sORFs embedded within lncRNAs, circRNAs, pseudogenes, and UTRs are now recognized as a reservoir of functional peptides that regulate core cellular programs, including metabolism, mitochondrial fu...

Recommendations From the Implementation Steering Group for Organ Utilisation Histocompatibility and Immunogenetics Sub-Group: ISOU H&I Sub-Group Recommendations.

The Organ Utilisation Group was established to address barriers in solid organ transplantation and improve patient outcomes across the United Kingdom. The group produced a series of recommendations in February 2023. To address these recommendations, the Department of Health and Social Care formed the Implementation Steering Group for Organ Utilisation (ISOU). A dedicated Histocompatibility and Imm...

Immunological Drug-Drug Interactions in Immune Checkpoint Inhibitor Therapy: Mechanisms, Clinical Evidence, and Artificial Intelligence.

PURPOSE OF REVIEW: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, producing durable responses across multiple malignancies. Howe...

Identification of Mitochondrial Dysfunction-Related Candidate Biomarkers and Analysis of the Immune Cell Infiltration in Epilepsy.

Epilepsy is a severe neurological disorder with complex pathogenesis. Mitochondrial dysfunction (MitD) is increasingly recognized as a key driver of e...

Droplet microfluidic profiling of NK cell cytotoxicity with machine learning-enabled target-cell death analysis.

Predicting the clinical efficacy of Natural Killer (NK) cell immunotherapies remains challenging due to functional heterogeneity within effector popul...

Developing and validating an electronic health record-embedded AI model for managing multimorbid hospitalisation risk in patients with chronic RESpiratory disease (AiRES): a study protocol.

BACKGROUND: Chronic respiratory diseases (CRDs), such as asthma and chronic obstructive pulmonary disease (COPD), are heterogeneous conditions with a ...

Canadian radiology: 2026 update.

Canadian radiology continues to produce scholarship that is technically sophisticated, clinically relevant, and increasingly attentive to the wider sy...

A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).

The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. Ho...

Usefulness of lung sound data collection using Skeeper SM-300® device: A pilot study.

BACKGROUND: Digital stethoscope has been introduced to clinical practice and are developing in many aspects. Overwhelming pandemic requires non-contac...

A predictive 14-gene signature and FLI1 inhibition overcome tumor-infiltrating lymphocyte dysfunction in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is an aggressive subtype lacking effective targeted therapies. Although immune checkpoint inhibitors such as pemb...

Quantitative sensory testing and classical pain model dataset in 127 healthy volunteers.

Experimental pain models are integral to human pain research and the development of analgesic drugs. Of many options available, it is possible to iden...

Machine learning-based study of breath sounds in children with asthma in remission and cough variant asthma.

BACKGROUND: Traditional auscultation, heavily dependent on the subjective judgment of physicians, can lead to variability in diagnoses. This study aim...

Copper transporters promote the malignant progression of glioblastoma by regulating the immunosuppressive tumour microenvironment via the SLC31A1-WNT5A axis.

BACKGROUND: The prognosis for patients with glioblastoma (GBM) remains extremely poor, a challenge largely attributable to the complex nature of its m...

Three-dimensional modeling of sensory nerve architecture and eosinophil and mast cell interactions in eosinophilic gastrointestinal disease.

Increased sensory nerve density has been described in type II inflammatory conditions and is linked to eosinophil and mast cell infiltration and neuro...

Mechanism-Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy.

Oncolytic peptides (OPs) represent a promising class of cancer therapeutics capable of rapidly lysing tumor cells and activating antitumor immunity. H...

Application of machine-learning algorithms to identify the key determinants of risk for HIV, hepatitis C and hepatitis B in primary care settings.

BACKGROUND: Testing for Blood-Borne-Viruses (BBVs) such as the human immunodeficiency virus (HIV), hepatitis C virus (HCV) and hepatitis B virus (HBV)...

M-protein interference in laboratory diagnostics: a comprehensive narrative review of mechanisms and management strategies.

Monoclonal proteins (M-proteins) serve as critical biomarkers for plasma cell dyscrasias, yet their unique physicochemical properties paradoxically co...

Identification of ribosomal stress related signature genes and immune microenvironment analysis in ovarian cancer based on multi-machine learning.

BACKGROUND: Ovarian cancer (OC) is a highly aggressive malignancy with poor prognosis and limited response to immunotherapy. Ribosomal stress, a cellu...

Artificial intelligence model predicts malignant transformation of oral leukoplakia and optimizes interventions.

PURPOSE: Oral leukoplakia (OL), the most common oral potentially malignant disorder (OPMD), poses a significant risk for transformation to oral squamo...

Integrating machine learning and single-cell sequencing to reveal the role of kinase-related genes in subtype classification and prognostic significance of lung squamous cell carcinoma.

BACKGROUND: Lung squamous cell carcinoma (LUSC) exhibits poor prognosis and a highly complex tumor immune microenvironment (TIME), creating an urgent ...