Latest AI and machine learning research in allergy & immunology for healthcare professionals.
Molecular recognition - which small molecule binds which protein, and with what selectivity - govern...
Deep learning on physiological time series is interpreted through domain-specific features -- oscill...
Clear cell renal cell carcinoma (ccRCC) exhibits pronounced heterogeneity across WHO histological gr...
Background: Store-and-forward teledermatology commonly relies on several patient-submitted photograp...
Patients with primary immunodeficiency (PID) often face prolonged diagnostic delays and may increasi...
Peptides are widely used as potential therapeutic agents in drug discovery and biotechnology because...
Perturbations of genes with functional importance in T cells could be used to change the distributio...
Though currently a minor crop, faba bean is a promising source of plant-based protein as global diet...
Treatment of advanced head and neck squamous cell carcinoma (HNSCC) often involves radiotherapy comb...
Head and neck squamous cell carcinoma (HNSC) is a prevalent malignancy associated with poor prognosi...
In view of the outstanding progress of machine learning (ML) and growing cost of health systems, it ...
While tree pollen is a major trigger of allergic respiratory conditions and different taxa exhibit v...
Background: Obesity significantly increases the risk of prognosis and clinical outcomes in pancreati...
Introduction Cellular differentiation and lineage commitment are known to be associated with differe...
Background: Radiogenomics allows identification of radiological biomarkers for genomic phenotypes. I...
Effective anti-tumor T cell response depends on both neoantigen quality (non-selfness) and quantity ...
Background: People with Multiple Long-Term Conditions (MLTC) experience higher rates of organ failur...
T-cell receptor (TCR) repertoires encode the organization of adaptive immunity and its reshaping by ...
The HIV reservoir that establishes early upon infection and persists in tissues remains the primary ...
Objectives: Large language models (LLMs) have shown promise in creating clinical codelists for resea...
Tumor-infiltrating lymphocytes are essential for anti-tumor immunity, yet distinguishing tumor-react...