Allergy & Immunology

Latest AI and machine learning research in allergy & immunology for healthcare professionals.

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Showing 161-180 of 6,921 articles

Cellular immunology data enable clinical severity prediction via supervised machine learning.

High-dimensional flow cytometry provides rich immunological data for examining immune responses and their relationships with disease pathology, but its complexity, heterogeneity, high-dimensionality, and modest sample sizes limit translation into clinical applications. We describe a translational immune health framework that applies supervised learning algorithms to integrate high-dimensional cell...

Jun 10 2026 42305631

PathTIGR: A pathway topology-informed graph representation learning framework for immunotherapy response prediction.

Immunotherapy has revolutionized cancer treatment, yet substantial inter-patient response heterogeneity limits therapeutic benefit to specific patient subsets. Here, we present PathTIGR, a pathway topology-informed graph representation learning framework that systematically integrates biological pathway network topology knowledge with genome variation information for immunotherapy response predict...

Jun 10 2026 42268974
Enhancing the detection of LTP through lyophilized protein samples and NIR spectroscopy with explainable deep learning.

Lipid transfer proteins (LTPs) are clinically relevant allergens widely present in plant-based foods, and their reliable detection in complex food mat...

Jun 10 2026 42265268
Informatics-Based Psychotherapeutic and Psychiatric Interventions in Dermatology: Scoping Review of Impacts on Skin Disease Severity and Mental Health Outcomes.

BACKGROUND: Chronic dermatologic conditions such as psoriasis, atopic dermatitis, and hidradenitis suppurativa are associated with a high burden of ps...

Jun 10 2026 42269173
Dynamic urinary proteomics integrates single-cell and spatial transcriptomics to reveal tumour microenvironment and predict immunotherapy response in biliary tract cancer.

BACKGROUND: Most patients with biliary tract cancer (BTC) do not derive durable clinical benefit (DCB) from immune checkpoint inhibitors (ICIs), under...

Jun 9 2026 41151791
Targeting colorectal cancer stem-like cells: Overcoming therapeutic resistance and reprogramming the immunosuppressive niche.

Colorectal cancer stem-like cells (CRC-SCs) represent a tumor subpopulation with enhanced tumor-initiating capacity and have been implicated in metast...

Jun 9 2026 42263836
A multimodal approach to equine thoracolumbar myofascial pain: integrating clinical examination, AI-based gait analysis, and the ridden horse pain ethogram.

BACKGROUND: Myofascial pain syndrome (MPS) is considered highly prevalent in horses, yet it is frequently underdiagnosed due to limited understanding ...

Jun 9 2026 42265736
Artificial intelligence in food allergen detection and prediction: advances, methodologies, and challenges.

Food allergies affect over 220 million individuals worldwide and present increasing challenges due to complex food matrices and processing-induced pro...

Jun 9 2026 42262265
Machine learning model to identify gut microbiome-derived metabolites as potential biomarkers of autism spectrum disorder: a pilot study.

Autism Spectrum Disorder (ASD) arises from complex and not yet completely understood interactions between genetic and environmental factors. Alongside...

Jun 8 2026 42260510
Enhance autism spectrum disorder detection using stacking ensemble learning model with explainable AI.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that is manifested by sensory abnormalities such as hypersensitivity to sound and touc...

Jun 8 2026 42260570
Exploring the gut-lung axis in post-liver transplant acute lung injury: A multi-omics approach.

Acute lung injury (ALI) is a significant post-operative complication of liver transplant (LT), with mounting evidence suggesting a role for the gut-lu...

Jun 8 2026 42258310
Comparing the Accuracy of ChatGPT-4o, DeepSeek-V3, and Gemini 2.5 Flash in Answering Frequently Asked Questions About Systemic Lupus Erythematosus: Quantitative Study.

BACKGROUND: Systemic lupus erythematosus (SLE) is a complex, fluctuating disease, creating a continuous need for reliable patient information. A prior...

Jun 8 2026 42258421
Smart detection of juice adulteration: An approach based on ion mobility spectrometry and machine learning.

BACKGROUND: Fruit juice quality is regulated by European Union legislation; however, adulteration by adding cheaper alternatives, such as white grape ...

Jun 7 2026 42252520
Machine learning models predict the immunotherapy response in tumors on the basis of DNA methylation.

BACKGROUND: The epigenetic control of immune responses plays a crucial role in the development and progression of cancer. The need to identify biomark...

Jun 6 2026 42249694
Explainable AI reveals squamous histology and U-shaped PD-L1 patterns as primary subgroup predictors of neoadjuvant and perioperative immunotherapy benefit in NSCLC: a machine learning analysis.

BACKGROUND: The introduction of neoadjuvant and perioperative immunotherapy has broadened treatment options for resectable non-small cell lung cancer ...

Jun 6 2026 42249154
Immune BioGraphy: A tale of graphical approaches in systems and virtual immunology.

We discuss how graph-based machine learning (Graph ML) can guide discovery in the next era of systems immunology. The multi-scale complexity of the im...

Jun 5 2026 42248142
A systemic immune signature stratifies early-stage breast cancer patients and reveals soluble IL-2RA and PD-1 as potential independent prognostic biomarkers.

BACKGROUND: Breast cancer (BC) is the most common cancer in women and the leading cause of cancer-related death worldwide. Systemic immune dysregulati...

Jun 4 2026 42244007
Understanding resistance in glioblastoma: insights into personalized and targeted therapeutic strategies.

Glioblastoma multiforme (GBM) is the most common and aggressive primary malignant brain tumor. Despite combined treatments, including surgical removal...

Jun 4 2026 42248236
A Pocketed Immunoblotting Disc for Field-Deployable Profiling of Multiantibody Spectrum.

Rapid profiling of an unexpected blood group antibody spectrum plays a critical role in emergency medicine. However, field-deployable profiling still ...

Jun 4 2026 42240027
Large Language Models Exhibit High Performance as Computable Phenotypes for Pediatric Asthma Exacerbation Detection in a Retrospective, Observational Study of Emergency Medical Services Encounters.

OBJECTIVES: Pediatric asthma exacerbations are a common emergent condition treated by prehospital emergency medical services (EMS). However, retrospec...

Jun 4 2026 42241217
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