Allergy & Immunology

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

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Showing 1261-1281 of 5,423 articles
MANIFEST: Multiomic Platform for Cancer Immunotherapy.

Immunotherapy has revolutionized survival outcomes for many patients diagnosed with cancer. However,...

LightCTL: lightweight contrastive TCR-pMHC specificity learning with context-aware prompt.

Identification of T cell receptor (TCR) specificities for antigens from large-scale single-cell or b...

Artificial intelligence-driven microsatellite instability profiling reveals distinctive genetic features in patients with lung cancer.

BACKGROUND: Microsatellite instability (MSI) has emerged as a predictive biomarker for immunotherapy...

Discovery of hematopoietic progenitor kinase 1 inhibitors using machine learning-based screening and free energy perturbation.

Hematopoietic progenitor kinase 1 (HPK1) is a key negative regulator of T-cell receptor (TCR) signal...

Validation of machine learning-assisted screening of PKC ligands: PKC binding affinity and activation.

Protein kinase C (PKC) is a family of serine/threonine kinases, and PKC ligands have the potential t...

Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis.

Advances in wearable sensors and artificial intelligence have greatly enhanced the potential of digi...

Systems Human Immunology and AI: Immune Setpoint and Immune Health.

The immune system, critical for human health and implicated in many diseases, defends against pathog...

PD-L1 Scoring Models for Non-Small Cell Lung Cancer in China: Current Status, AI-Assisted Solutions and Future Perspectives.

Immunotherapy has revolutionized the diagnosis and treatment model for patients with advanced non-sm...

Machine Learning Unveils Sphingolipid Metabolism's Role in Tumour Microenvironment and Immunotherapy in Lung Cancer.

TME is a core player in the development of a cancerous lesion, the immune evasive potential of the l...

Artificial Intelligence-Enabled Wearable Devices and Nocturnal Scratching in Mild Atopic Dermatitis.

IMPORTANCE: Although more than 1 in 10 people experience pruritus, there are limited medical technol...

MUTATE: a human genetic atlas of multiorgan artificial intelligence endophenotypes using genome-wide association summary statistics.

Artificial intelligence (AI) has been increasingly integrated into imaging genetics to provide inter...

A Machine Learning Model for Diagnosing Opportunistic Infections in HIV Patients: Broad Applicability Across Infection Types.

Opportunistic infections (OIs) are the leading cause of hospitalisation and mortality among Human Im...

PNL: a software to build polygenic risk scores using a super learner approach based on PairNet, a Convolutional Neural Network.

SUMMARY: Polygenic risk scores (PRSs) hold promise for early disease diagnosis and personalized trea...

Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer.

IMPORTANCE: Only a small fraction of patients with advanced non-small cell lung cancer (NSCLC) respo...

What radio waves tell us about sleep!

The ability to assess sleep at home, capture sleep stages, and detect the occurrence of apnea (witho...

miRStart 2.0: enhancing miRNA regulatory insights through deep learning-based TSS identification.

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression by binding to the 3'-untr...

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