Allergy & Immunology

Allergy

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

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Estimating Daily Taxon-specific Tree Pollen at a 1-km Resolution in Atlanta, GA from 2020 to 2024

While tree pollen is a major trigger of allergic respiratory conditions and different taxa exhibit v...

HAIRpred2: Human Host-Specific Prediction of Antibody-Interacting Residues Using Hybrid Physicochemical and Structural Features

Prediction of conformational B-cell epitopes is critical for vaccine design, immunotherapy, and anti...

Machine Learning Analysis to Define Cell Lineage in Leiomyosarcoma

Introduction Cellular differentiation and lineage commitment are known to be associated with differe...

Predictive Radiomics for Evaluation of Cancer Immune SignaturE in Glioblastoma: the PRECISE-GBM study

Background: Radiogenomics allows identification of radiological biomarkers for genomic phenotypes. I...

AI-enabled virtual immunopeptidomics links quantitative neoantigen presentation to immunogenicity

Effective anti-tumor T cell response depends on both neoantigen quality (non-selfness) and quantity ...

A generative reference grammar of healthy TCR repertoires reveals cancer-associated immune remodeling

T-cell receptor (TCR) repertoires encode the organization of adaptive immunity and its reshaping by ...

A Tissue Microenvironment Analogous to Certain Tumor Microenvironments Facilitates HIV Persistence

The HIV reservoir that establishes early upon infection and persists in tissues remains the primary ...

Turep: Detecting cross-cancer tumor-reactive T cells in single-cell and spatial transcriptomics data

Tumor-infiltrating lymphocytes are essential for anti-tumor immunity, yet distinguishing tumor-react...

CT-Based Deep Foundation Model for Predicting Immune Checkpoint Inhibitor-Induced Pneumonitis Risk in Lung Cancer

Background: Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy but can cause ser...

Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens

Noncontact exfiltration of electronic screen content poses a security challenge, with side-channel i...

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation

Multimodal Large Language Models frequently suffer from inference hallucinations, partially stemming...

A structure-informed deep learning framework for modeling TCR-peptide-HLA interactions

The interaction between T cell receptors (TCRs), peptides, and human leukocyte antigens (HLAs) under...

Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalisability

Immune checkpoint inhibitors (ICIs) have transformed cancer therapy; yet substantial proportion of p...

Grading of Erythema and Visual Attributes in Atopic Dermatitis across Diverse Skin Tones Using a Vision AI Pipeline

Background: Atopic dermatitis (AD) is a prevalent chronic inflammatory skin disease associated with ...

Generation Is Compression: Zero-Shot Video Coding via Stochastic Rectified Flow

Existing generative video compression methods use generative models only as post-hoc reconstruction ...

Self-supervised learning for a gene program-centric view of cell states

Single-cell omics has extended the biological interrogation of cell state from examining the express...

When AI Shows Its Work, Is It Actually Working? Step-Level Evaluation Reveals Frontier Language Models Frequently Bypass Their Own Reasoning

Language models increasingly "show their work" by writing step-by-step reasoning before answering. B...

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