Allergy & Immunology

Comprehensive immunological and molecular analysis revealed inflammation-related diagnostic signatures in chronic rhinosinusitis.

GeoPMB: An Interface-Aware Geometric Deep Learning Framework for Peptide-MHCI Binding Prediction with Evolutionary Insight.

The binding of peptides to class I major histocompatibility complex (MHCI) molecules is central to adaptive immunity, making the identification of immunogenic peptides a critical step in developing effective vaccines and immunotherapies against bacterial, viral, and even cancer-related diseases. However, given that experimental determination of immunogenicity is extremely resource-intensive and ti...

Influence of blood transfusion on outcomes in patients with gastric cancer.

Chen et al's research provides valuable data supporting the cautious use of transfusions during gastric cancer surgery. However, to interpret causalit...

Computational Innovations in Cancer Research and How Computing is Transforming Drug Discovery and Development: A Review.

INTRODUCTION: Cancer is a major global health concern, causing millions of deaths each year due to the uncontrolled growth and spread of abnormal cell...

Pan-cancer evolution signatures link clonal expansion to dynamic changes in the tumor immune microenvironment.

Cancer is an evolutionary process characterized by profound intratumor heterogeneity (ITH), which can be quantified using in silico estimates of cance...

The promise of biomarkers in Psoriatic Arthritis: Moving towards precision medicine.

Psoriatic arthritis is a heterogeneous disease where delayed diagnosis and variable treatment responses remain significant challenges. This review add...

Loop of N2-polarized neutrophils and exhausted CD8 + T cells induces immunotherapy resistance in NSCLC.

While neutrophils represent a prominent myeloid component in non-small cell lung cancer (NSCLC), the specific immunosuppressive functions of N2-polari...

[Care for uncontrolled asthma in Germany - with focus on Magdeburg and Mannheim regions].

Description of treatment and prescription patterns among asthma patients in the regions of Magdeburg (MD) and Mannheim (MA) compared nationwide.We ana...

Immune-activated & pathology-characterized: the distinct clear cell renal cell carcinoma subtypes for 3PM strategies derived from artificial intelligence in multi-omics.

BACKGROUND AND OBJECTIVE: Renal clear cell carcinoma (ccRCC) is highly heterogeneous, with significant differences in clinical outcomes such as progno...

CT-based radiomics for predicting the treatment response to PD-1/PD-L1 inhibitors combined with chemotherapy in unresectable gastric cancer.

OBJECTIVE: To develop and validate a CT-based radiomics model to predict immunotherapy response in unresectable gastric cancer and explore its underly...

A lactylation-related gene signature predicts prognosis and immunotherapy response in clear cell renal cell carcinoma based on machine learning and multi-omics analysis.

Molecular and immunological heterogeneity of eosinophilic esophagitis: Insights and subtyping.

BACKGROUND: Eosinophilic esophagitis (EoE) and its related subtypes-such as EoE-like esophagitis, lymphocytic esophagitis, and nonspecific esophagitis...

Exploring the mechanism of polymorphonuclear neutrophils against sepsis based on immune model.

BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection and remains a major global health chall...

Optimization and validation of air impingement cleaning parameters for removing nonfat dry milk powder from stainless steel surfaces by machine learning.

Air impingement cleaning can remove residues from food contact surfaces without introducing moisture, thereby controlling allergen cross-contact and p...

Automated auditing of emergency department documentation using large language models.

INTRODUCTION: Errors in emergency department (ED) documentation can lead to patient harm and medicolegal risk, however manual document auditing is res...

TRIM36 and CAMK2N2 regulate ferroptosis and antigen presentation in small cell lung cancer.

Small cell lung cancer (SCLC) is a highly aggressive tumor with poor prognosis. Ferroptosis is closely linked to tumor antigen presentation: it affect...

Artificial intelligence-assisted spatial omics-based biomimetic nanoplatform for intelligent and precise intervention in the immunosuppressive core region of ovarian cancer.

Ovarian cancer (OC) ranks among the most aggressive malignancies of the female reproductive system. The immunosuppressive tumor microenvironment (TME)...

Targeting metabolism to combat anticancer and antibacterial drug resistance.

Drug resistance is a major challenge in cancer and infectious diseases, requiring innovative solutions. Recent research suggests that bacteria and can...

BRAF inhibitor resistance in melanoma: from resistance mechanisms to therapeutic innovations.

BRAF inhibitors (BRAFi) have transformed the treatment of BRAF mutant melanoma, but inherent and acquired resistance remains a major barrier to curati...

Large-scale paired chain BCR analysis reveals antibody clonal family inference bias and enhances resolution with machine learning.

A fundamental question in immunology is how the adaptive immune system encodes antigen specificity while maintaining repertoire diversity. B cell rece...