Allergy & Immunology

Cytokine expression mediated immunogenic response of therapeutic IgG aggregates obtained by forced degradative stress factors and the role of a deep neural network in its prediction.

PURPOSE: Biotherapeutic products can aggregate during different stages of the product life cycle. Ac...

Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data.

Immune checkpoint inhibitors (ICIs) have transformed the advanced melanoma treatment landscape; howe...

Distinguishing post-COVID from long-COVID in adults: Development and validation of a biomarker signature using targeted proteomics and machine learning in a cross-sectional observational study.

BACKGROUND: COVID-19 can have diverse clinical manifestations, ranging from asymptomatic infection t...

Integrating Clinical Modeling and Machine Learning for Risk Assessment of Paracetamol and Other Nonsteroidal Anti-Inflammatory Drug Hypersensitivity in Children.

BACKGROUND: Nonsteroidal anti-inflammatory drug (NSAID) hypersensitivity is a common cause of drug-r...

Deep Learning-Enhanced Biomarker Interpretation on Cytology Cell Blocks - Foundations and Emerging Opportunities in Spatial Pathobiology.

Cytology cell block specimens are essential diagnostic materials in patients with advanced-stage mal...

Synergizing Artificial Intelligence with In Vivo CAR-T Cell Generation: A New Paradigm for Democratized Immunotherapy.

In vivo CAR-T cell generation represents a paradigm shift in immunotherapy by transitioning the prod...

CXCL9 as a key feature for deep learning-based immune subtyping and prediction of immune checkpoint blockade response in triple-negative breast cancer.

BACKGROUND: Immune checkpoint blockade (ICB) therapy has provided a promising treatment option for p...

Recent insights for fish allergens: novel processing techniques and detection technology.

Fish allergy is a common food-related allergic reaction that can lead to serious health issues and p...

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy.

Cancer immunotherapy, which leverages the immune system to combat tumor cells, has made significant ...

Comprehensive assessment of postoperative metachronous liver metastasis risk in colon cancer based on inflammatory indicators: a multicenter prospective study.

OBJECTIVE: Insidiousness is a hallmark of metachronous liver metastasis. Owing to the absence of a c...

Combination Immunotherapy as a Promising Strategy to Overcome Immunotherapy Resistance: From Emergence to Next-Generation Approaches.

Advances in immunotherapy, particularly with immune checkpoint inhibitors, have improved clinical ou...

Ultrasound-Responsive Serotonylation and Hallmark Pathway Gene Signatures Reveal Tumor Microenvironment Vulnerabilities and Prognostic Subtypes in Colorectal Cancer.

BACKGROUND: Focused ultrasound, low-intensity focused ultrasound, and microbubble-enhanced sonoporat...

Applied immunoinformatics in modern vaccine design: a comprehensive review of available computational tools.

The rapid evolution of computational biology has transformed vaccine design from a largely empirical...

A machine learning model integrating circulating Temra cell transcriptional profiles to predict immunotherapy efficacy.

BACKGROUND: While immunotherapy has transformed treatment paradigms for cancer, durable response rat...

Transcriptome Profiling of Peripheral Blood for Inflammatory Subtype Classification and Diagnostic Model Construction in Asthma.

OBJECTIVE: This study aimed to identify inflammatory subtypes of asthma using peripheral blood trans...

From guidelines to algorithms: the future of AI-augmented asthma care.

PURPOSE OF REVIEW: Artificial intelligence (AI) has emerged as an increasingly accessible and influe...

The rise of artificial intelligence in respiratory primary care and pulmonology: a scoping review.

Artificial intelligence (AI) is rapidly advancing respiratory disease management, from diagnosis to ...

Breaking resistance in BRAF-mutant Melanoma: Novel strategies and biomarkers for optimizing targeted therapies.

In metastatic melanoma with a BRAFV600 mutation, inhibitors of BRAF and MEK have improved survival. ...

Integrating B-mode ultrasound radiomics and clinical variables to predict 26-week progression-free survival in advanced hepatocellular carcinoma under targeted immunotherapy.

BACKGROUND: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality gl...

Author Correction: Machine learning models predict long COVID outcomes based on baseline clinical and immunologic factors.

ChatGPT Health performance in a structured test of triage recommendations.

ChatGPT Health launched in January 2026 as OpenAI's consumer health tool, reaching millions of users...