Allergy

Integrative single-cell and machine-learning analysis identifies LGALS1 as a macrophage-associated diagnostic and prognostic biomarker in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is characterized by marked heterogeneity and an immunosuppressive microenvironment in which tumor-associated macrophages contribute to disease progression. This study aimed to identify macrophage-associated biomarkers with diagnostic, prognostic, and translational relevance in HCC. METHODS: Single-cell RNA-sequencing datasets were integrated with bulk tra...

A deep learning-derived risk score model from digital pathology to forecast nivolumab outcomes in gastric carcinoma.

BACKGROUND: The PD-L1 combined positive score (CPS) is a biomarker predicting responses in gastric cancer (GC) immunotherapy. OBJECTIVES: We aimed to develop a deep learning-based model to predict responses to nivolumab in GC using PD-L1 28-8 immunohistochemistry. METHODS: A cell-detection network was trained on 1927 patches from 88 whole-slide images to generate a computational positive cell rati...

Exploring and validating hub genes associated with atopic dermatitis through weighted gene co-expression network analysis and machine learning.

This study aimed to identify novel biomarkers of atopic dermatitis (AD) and investigate their pathogenic mechanisms. We analyzed 7 AD-related datasets...

RNA splicing in health and disease.

RNA splicing expands the functional output of eukaryotic genomes by enabling individual precursor messenger RNA (pre-mRNA) to generate multiple mature...

A hypersensitive neuromorphic airflow sensor inspired by vision-compensatory scorpion mechanoreceptors for respiratory pattern analysis.

Efficient acquisition of spatial airflow information is vital for organisms to orient within complex environments and detect predators. For scorpions ...

Equity in Neurotoxicity Care in the Era of Cancer Immunotherapy.

Immunotherapies such as chimeric antigen receptor T cell (CAR-T) therapy and immune checkpoint inhibitors have improved cancer survival but are associ...

AI-derived Histopathological Signatures Are Associated With Response to Mepolizumab in Chronic Rhinosinusitis With Nasal Polyps.

BackgroundChronic rhinosinusitis with nasal polyps (CRSwNP) is a heterogeneous inflammatory disease with variable response to biologic therapy. Tissue...

The role of artificial intelligence in predicting immunotherapy treatment outcomes based on gut microbiota composition in cancer patients: a meta-analysis.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed cancer treatment, but response varies across patients. Gut microbiota may influence i...

[Reflections on surgical management strategies for locally advanced gastric cancer after neoadjuvant immunotherapy].

Neoadjuvant immunotherapy is reshaping the treatment landscape of locally advanced gastric cancer (GC). The central clinical challenge has expanded fr...

Radiomics using generative adversarial network enhanced non-contrast computed tomography for gastric cancer diagnosis.

Objective.Non-contrast-enhanced computed tomography (NCCT) images have limited tissue resolution for gastric cancer diagnosis, while contrast-enhanced...

Applications of synthetic biology in biomedicine.

Based on the principles of engineering reconstruction and programmable design, synthetic biology is driving a paradigm shift in biomedical diagnosis a...

Nanotechnology-based immunotherapy: integrating Artificial Intelligence (AI) with current strategies in combating brain cancer disease.

Brain cancer is one of the most challenging malignancies and a major contributor to worldwide morbidity and mortality. Glioblastoma, the most aggressi...

Prognostic value of body composition analysis in cancer patients treated with immunotherapy: a systematic evaluation of TotalSegmentator-based biomarkers.

PURPOSE: Body composition parameters offer objective, imaging-derived prognostic biomarkers, valuable in the context of oncological diseases. This stu...

Microbiome-Driven Precision Medicine in Asthma: Roles of Targeted Therapies and Artificial Intelligence.

OBJECTIVE: To evaluate the current evidence regarding airway and gut microbiome alterations in asthma pathogenesis and therapeutic response, and to ex...

VCAM-1 Serves as a Biomarker for Discriminating Eosinophilic CRSwNP and Regulates IL-13-Induced Vascular Remodeling.

BackgroundChronic rhinosinusitis with nasal polyps (CRSwNP) is a highly heterogeneous inflammatory disease with distinct inflammatory endotypes. This ...

Development of machine learning-based predictive models for evaluating risk in the contralateral ear among patients with unilateral sudden sensorineural hearing loss.

BACKGROUND: Sequential bilateral sudden sensorineural hearing loss (Se-BSSHL) may occur after an initial unilateral episode, but the risk factors for ...

Radiotherapy and immunotherapy in cancer treatment: mechanisms of clinical synergy.

Synergizing radiotherapy (RT) with immune checkpoint inhibitors has emerged as a promising strategy for solid tumors. RT acts as a potent immunomodula...

Integration of single-cell transcriptomics and genomic mutation analysis identifies an immunotherapy-resistant tumor subcluster and validates ARNTL2 as a malignant driver in lung adenocarcinoma.

BACKGROUND: Immunotherapy resistance in lung adenocarcinoma (LUAD) remains a critical clinical challenge, and the mechanisms underlying resistance-ass...

Topical exposure to di(2-ethylhexyl) phthalate aggravates atopic dermatitis: an integrated network toxicology, bioinformatics, and experiment analysis.

Di(2-ethylhexyl) phthalate (DEHP) is one of the most widely used plasticizers; however, whether cutaneous DEHP exposure affects atopic dermatitis (AD)...

PET/CT In paediatric lymphoma: Current role and advances.

Fluorine-18 fluorodeoxyglucose ([18F] FDG) PET/CT has become central to the management of paediatric lymphoma, providing critical information for stag...