Allergy & Immunology

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

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Showing 316-336 of 5,393 articles
Feature selection enhances peptide binding predictions for TCR-specific interactions.

INTRODUCTION: T-cell receptors (TCRs) play a critical role in the immune response by recognizing spe...

Unpaired Dual-Modal Image Complementation Learning for Single-Modal Medical Image Segmentation.

OBJECTIVE: Multi-modal MR/CT image segmentation is an important task in disease diagnosis and treatm...

Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy.

Messenger RNA (mRNA) vaccines offer an adaptable and scalable platform for cancer immunotherapy, req...

Cellular Senescence in Hepatocellular Carcinoma: Immune Microenvironment Insights via Machine Learning and In Vitro Experiments.

Hepatocellular carcinoma (HCC), a leading liver tumor globally, is influenced by diverse risk factor...

Immunological composition of human milk before and during subclinical and clinical mastitis.

Mastitis, an inflammatory condition affecting more than 25% of breastfeeding women, is usually assoc...

Leveraging Deep Learning for Immune Cell Quantification and Prognostic Evaluation in Radiotherapy-Treated Oropharyngeal Squamous Cell Carcinomas.

The tumor microenvironment plays a critical role in cancer progression and therapeutic responsivenes...

DeepDrug as an expert guided and AI driven drug repurposing methodology for selecting the lead combination of drugs for Alzheimer's disease.

Alzheimer's Disease (AD) significantly aggravates human dignity and quality of life. While newly app...

Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning.

In the production sector, the usefulness of predictive systems as a tool for management and decision...

HIV OctaScanner: A Machine Learning Approach to Unveil Proteolytic Cleavage Dynamics in HIV-1 Protease Substrates.

The rise of resistance to antiretroviral drugs due to mutations in human immunodeficiency virus-1 (H...

Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods.

BACKGROUND: Alopecia areata (AA) is a common non-scarring hair loss disorder associated with autoimm...

Assessing ChatGPT's accuracy and reliability in asthma general knowledge: implications for artificial intelligence use in public health education.

BACKGROUND: Integrating Artificial Intelligence (AI) into public health education represents a pivot...

The importance of clinical experience in AI-assisted corneal diagnosis: verification using intentional AI misleading.

We developed an AI system capable of automatically classifying anterior eye images as either normal ...

Advancing precision cancer immunotherapy drug development, administration, and response prediction with AI-enabled Raman spectroscopy.

Molecular characterization of tumors is essential to identify predictive biomarkers that inform trea...

Machine learning-derived asthma and allergy trajectories in children: a systematic review and meta-analysis.

INTRODUCTION: Numerous studies have characterised trajectories of asthma and allergy in children usi...

Hepatoid adenocarcinoma of the stomach with ideal response to neoadjuvant chemo-immunotherapy: a case report.

Hepatoid adenocarcinoma of the stomach (HAS) is a rare subtype of gastric cancer characterized by hi...

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