Allergy

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 marine fish, algae, and invertebrates consist of many bioactive proteins/peptides that might provide multiple benefits for maintenance of a healthy brain, including neuroprotection, reduction of inflammation, and reduction of oxidative stress. This ...

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 identify reliable biomarkers and therapeutic targets. This study aims to investigate the role of galactose metabolism (GM) reprogramming in shaping the tumor microenvironment (TME) and driving immunotherapy resistance in KRAS-mutant LUAD. METHODS: B...

Validation of AI-enabled surrogate models in quantitative systems pharmacology: a practical, context-of-use-driven review.

Quantitative systems pharmacology (QSP) models support model-informed drug development but are computationally expensive, limiting workflows requiring...

AI-driven neoantigen identification: a comprehensive review from somatic variant calling to T cell recognition.

BACKGROUND: Neoantigens-tumor-specific peptides generated by somatic mutations-are central targets of effective anticancer T cell immunity and underpi...

Macrophage heterogeneity in breast cancer microenvironment and development of a prognostic model: exploring TFF1 as a novel therapeutic target.

BACKGROUNDS: Breast cancer (BRCA) represents the most prevalent malignancy globally, with projections indicating 3.2 million new cases anticipated by ...

Identification of exosome-related genes signature based on bioinformatics and machine learning for prognostic prediction in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) is a prevalent malignant tumor with increasing incidence and mortality rates worldwide. Exosomes are secretory ves...

A novel prognostic zinc finger gene model for hepatocellular carcinoma via machine learning.

BACKGROUND: Hepatocellular carcinoma (HCC) is a highly lethal malignancy with poor prognosis, and effective biomarkers for predicting immunotherapy re...

An AI-augmented review of childhood atopic dermatitis biomarkers across genetic, immune, microbial, and metabolic domains.

BACKGROUND: Atopic dermatitis (AD) is a prevalent inflammatory skin disease and a major source of disease burden in children. Biomarker studies in chi...

TREM2 in glioma: Reprogramming the immune microenvironment from mechanistic understanding to clinical translation (Review).

The poor prognosis of high‑grade gliomas, such as glioblastoma, is largely driven by a notably immunosuppressive tumor microenvironment (TME), wherein...

Multidimensional analysis of tumour immune microenvironment in HCC: prognostic significance and implications for immunotherapy.

BACKGROUND: The combination of immune checkpoint inhibitors (ICIs) and anti-angiogenic agents represents the standard first-line therapy for patients ...

Exploring potential key genes and mitotic catastrophe-associated correlates in sepsis-induced acute respiratory distress syndrome using transcriptomics and experimental validation.

BACKGROUND: Sepsis-induced acute respiratory distress syndrome (ARDS) is a life-threatening form of acute diffuse lung injury caused by sepsis. Howeve...

New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.

Messenger RNA-lipid nanoparticle (mRNA-LNP) therapeutics have emerged as a versatile drug modality, enabling in vivo protein expression for vaccines, ...

Artificial neural network modelling using complete blood count for the early detection of black lung disease among Indonesian coal miner: A retrospective longitudinal study.

BACKGROUND: Black lung disease remains a major occupational health problem among coal miners and is frequently diagnosed at an advanced stage, limitin...

Machine learning-based MPO and Lp-PLA2 profiling reveals asthma-predominant inflammatory signature in asthma-COPD overlap.

BACKGROUND: Asthma-COPD overlap (ACO) remains poorly characterized at the molecular level, leading to diagnostic uncertainty and suboptimal treatment....

Leveraging multimodal cancer immunotherapy to amplify the efficacy of oncolytic viruses.

Oncolytic viruses (OVs) represent a versatile platform for cancer immunotherapy, capable of selectively infecting and lysing tumor cells while trigger...

Diagnostic Model Construction of Mitochondrial-Mitophagy Related Genes and Their Regulatory Network and Potential Drug Discovery in Childhood Allergic Asthma.

Childhood allergic asthma (CAA) is a chronic airway inflammatory disorder driven by allergens, and its underlying molecular mechanisms as well as prec...

Single-cell and machine learning-based neural regulation signature for prognosis prediction and immunotherapy response in lung adenocarcinoma.

OBJECTIVE: Lung adenocarcinoma (LUAD) molecular heterogeneity limits traditional prognostic models. Given the emerging role of neural regulation (NR) ...

Explainable machine learning to predict immunotherapy outcomes in metastatic renal cell carcinoma - Meet-URO 15-AI study.

Metastatic renal cell carcinoma remains clinically challenging because of heterogeneous outcomes and limited predictive biomarkers for immunotherapy. ...

Identification and Experimental Verification of Key Genes Related to the Ras Signaling Pathway and the Hippo Signaling Pathway in Osteoarthritis Based on Transcriptome Data.

BACKGROUND: Osteoarthritis (OA) is a chronic degenerative joint disease characterized by the progressive deterioration of articular cartilage, signifi...

ADC Target Profiling in NSCLC: Generalizable AI Separates TROP-2 and cMET Phenotypes.

PURPOSE: Antibody-drug conjugates (ADC) targeting trophoblast cell surface antigen 2 (TROP-2) and cMET are entering clinical trials in non-small cell ...