Allergy & Immunology

Internally validated machine learning models identify asthma and its phenotypes using multicenter real-world data.

Asthma exhibits significant clinical heterogeneity, necessitating precise phenotyping for personalized treatment. This study aims to develop and internally validate machine learning models for cross-sectional identification and phenotyping of asthma using routinely collected clinical data. Data from the MIMIC-IV and OPCRD databases were integrated, encompassing 3,025 eligible cases (2,180 in asthm...

Enhancing tumor T cell antigen prediction by integrating deep protein representations.

BACKGROUND: Cancer is a major threat to human health, and cancer immunotherapy is considered the most promising treatment option. It offers high effectiveness and precision, with fewer side effects than traditional treatments. Tumor T cell antigens (TTCA) are the proteins or protein fragments that stand on the surface of cancer cells and that are recognized by the immune system. However, physical ...

A two-stage hierarchical support vector machine framework detects roasted coffee adulterants through principal component analysis of hyperspectral imaging data.

Economically motivated adulteration (EMA) of roasted coffee presents a critical challenge to global market integrity and consumer safety, specifically...

Identification of key genes associated with T cell exhaustion in HIV infection based on transcriptomic data.

BACKGROUND: Human immunodeficiency virus (HIV) is a lentivirus belonging to the retrovirus subclass. HIV specifically targets and infects human CD4 + ...

AI-Optimized 3D-Printed Dual-Layer Implant: Resolving Chemo-Immunotherapy Sequential Administration Dilemma for Colorectal Cancer Peritoneal Metastasis.

The synergistic integration of chemotherapy and immunotherapy represents the most promising strategy for enhancing therapeutic efficacy in cancer trea...

ASTHMA AT THE CROSSROADS: FROM ANTI-TNF-α SETBACKS TO NEXT-GENERATION BIOLOGICS TARGETING TYPE 1 AND TYPE 2 INFLAMMATION.

Severe asthma remains a major unmet clinical challenge due to its marked immunological heterogeneity and the limited efficacy of current therapies in ...

Integrative profiling of senescence-associated cells and genes identifies UGT1A7 as a prognostic and therapeutic target in Lung squamous cell carcinoma.

Lung Squamous Cell Carcinoma (LUSC), a common subtype of non-small cell lung cancer, primarily occurs in elderly individuals and is closely linked to ...

A machine-learning-derived online prediction model for risk during the activity period in SLE patients: a retrospective historical cross-sectional study.

OBJECTIVE: Given the challenges in predicting systemic lupus erythematosus (SLE) disease activity and the limitations of existing assessment tools, th...

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions.

Analysis of multimodal and multidimensional data capturing dynamic interactions between diverse cell populations is a current challenge in bioimaging,...

Virus infections and cancers: from mechanisms to therapeutics.

Viral infections are a major contributor to global cancer incidence and mortality. However, integrative reviews that connect viral classification, car...

Astragalus polysaccharide-based thermoresponsive hydrogel loaded with β-elemene nanoemulsion in combination with anti-PD-L1 therapy for triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is classified as an immunologically cold tumor, which markedly weakens the therapeutic efficacy of immune checkpo...

Identification of the oxidation stress-related gene signatures and functional verification of MINK1 in prostate cancer cells.

BACKGROUND: A major challenge facing prostate cancer (PCa) cells is oxidative stress, yet the precise role and underlying mechanisms remain inadequate...

Identification and verification of immunogenic cell death-related signatures derived from bone metastasis of prostate cancer based on multi-omics and machine learning algorithms.

BACKGROUND: Prostate cancer (PCa) is a prevalent urological malignancy in men, with bone metastasis occurring in the majority of patients, often leadi...

Utility of E-Nose in Paediatric Respiratory Diseases Using Machine Learning Approach: A Pilot Study.

To assess the feasibility of an electronic nose (e-nose) for volatile organic compounds (VOCs) to classify respiratory diseases and establish a protoc...

Network-based machine learning to identify biomarkers for systemic lupus erythematosus.

BACKGROUND: Systemic lupus erythematosus (SLE) is a complex autoimmune disease, making accurate diagnosis and effective treatment challenging. Despite...

Machine learning reveals distinct temperature thresholds and environmental modulators for atopic dermatitis and allergic contact dermatitis prevalence in South Korea.

Atopic dermatitis (AD) and allergic contact dermatitis (ACD) are common inflammatory skin diseases influenced by environmental factors, but disease-sp...

Advances in Antiviral Drug Development Targeting Viral Proteases.

Viral proteases are critical targets in antiviral drug development due to their essential role in the viral lifecycle and high conservation across vir...

Exploring Neurological Disorder Therapeutics: The Progress and Future Prospects of Proteins and Peptides Derived from Blue Foods.

INTRODUCTION: Neurological illnesses continue to be a major global health challenge and require novel and safe therapeutic strategies. Blue foods like...

Targeting galactose metabolic reprogramming overcomes immunotherapy resistance in KRAS-mutant lung adenocarcinoma: Integrative multi-omics and machine learning approaches.

BACKGROUND: KRAS-mutant lung adenocarcinoma (LUAD) is associated with aggressive phenotypes and therapy resistance, which highlights an urgent need to...

DFT and machine learning investigation of Au/Pt-decorated SnS₂ monolayers for asthma and COPD diagnosis.

Asthma and Chronic Obstructive Pulmonary Disease (COPD) are among the most prevalent chronic respiratory diseases worldwide, affecting hundreds of mil...