Allergy

Smart three-in-one detection platform: Chemical sensing, image recognition, and machine learning for rapid identification of tetracycline antibiotics.

The hidden allergic reactions and cumulative toxic effects caused by antibiotic residues in aquatic ...

Machine learning-assisted prognosis of multiple myeloma side population cells via SRGs and OCLR stemness index.

BACKGROUND AND OBJECTIVE: Relapse in Multiple Myeloma, driven by therapy-resistant cancer stem cells...

Spatiotemporal prediction of aeropollen concentration using tree-based machine learning.

Pollen is a major aeroallergen and an important environmental health concern, with its concentration...

Decoding Senescence-Driven Heterogeneity in Early-Onset Colorectal Cancer for Prognostic and Therapeutic Stratification.

Early-onset colorectal cancer (EOCRC), diagnosed in patients under 50, is particularly aggressive, y...

Construction and application of a high-resolution pollen numerical model system based on phenology and XGBoost.

The allergenic characteristics of anemophilous pollen differ among taxa, and its atmospheric concent...

A novel polypeptide molecule attenuates atopic dermatitis by targeting CCR8-CCL1 axis.

Atopic dermatitis (AD) is a common chronic inflammatory skin disease with diverse clinical phenotype...

A multicenter multimodel habitat radiomics model for predicting immunotherapy response in advanced NSCLC.

A robust predictive biomarker is critical for identifying patients with NSCLC who may benefit from i...

Metal-based nanomaterials achieve tumor treatment strategies by overcoming the blood-brain barrier of glioma and responding to the tumor microenvironment.

Glioblastoma (GBM) continues to be the most lethal form of primary brain tumor. Therapeutic efficacy...

Utilizing data mining to improve asthma control in children: a study on influential factors.

OBJECTIVE: To identify the most influential features of asthma control in children and to assess whe...

Smooth Muscle Disruptive Feature Defines Molecular Subtyping, Risk Stratification, and Metastatic Potential in Prostate Cancer.

BACKGROUND: Smooth muscle (SM) invasion represents a critical feature of prostate cancer (PCa) progr...

Evaluation of a Semi-Supervised AI Model (ASUS Blade) for Peripheral Blood Film Leukocyte Classification.

BACKGROUND: The peripheral blood film (PBF) analysis traditionally relies on manual microscopy (MM),...

Modulating tumor mechanics and vascular barriers to enhance chemotherapy efficacy in pancreatic tumors and melanoma.

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stroma and dysfunctional vascula...

Quantification differences between supine and prone CT in interstitial lung disease.

PURPOSE: To evaluate the measurement variability and reproducibility of prone imaging with quantitat...

Algorithm guided personalized T cell therapy: machine learning unlocks next generation TCR engineered immunotherapy.

Decoding strategies for enhancing immunotherapy in head and neck squamous cell carcinoma.

Immune checkpoint inhibitors have partially improved treatment outcomes for patients with head and n...

Multimodal AI generates virtual population for tumor microenvironment modeling.

The tumor immune microenvironment (TIME) critically impacts cancer progression and immunotherapy res...

Immunocto: A massive immune cell database auto-generated for histopathology.

With the advent of novel cancer treatment options such as immunotherapy, studying the tumour immune ...

Environmental exposures, epithelial barrier dysfunction, and the evolving landscape of allergic disorders and asthma.

PURPOSE OF REVIEW: Immediate hypersensitivity disorders, such as asthma, food intolerance, and anaph...

Machine Learning-Based Prediction of Postoperative Vasoplegia After Cardiac Surgery.

OBJECTIVE: To develop and internally validate a machine-learning model for the early prediction of p...

Development of Artificial Intelligence for Quantitative Assessment of Nasal Inflammatory Cytology in Chronic Rhinitis by Whole-Slide Images.

BACKGROUND: Chronic rhinitis (CR) is currently recognized as a syndrome that manifests in different ...

Turmeric extracellular vesicles-derived "all-in-one" nanoagent enables full-cycle synergistic immunomodulation of lung cancer.

Lung cancer's metastatic propensity and recurrence prevalence necessitate innovative immunotherapy s...