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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 with unresectable hepatocellular carcinoma (HCC). However, most patients do not derive sustained clinical benefit. Emerging evidence has underscored a strong association between immunotherapy efficacy and the tumor immune microenvironment (TIME) in H...

Shiyiwei Shenqi Pian-derived quercetin reactivates apoptosis in clear cell renal cell carcinoma by destabilizing survivin and x-linked inhibitor of apoptosis protein.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) strongly resists apoptosis via baculoviral inhibitor of apoptosis repeat-containing 5 (BIRC5) and X-linked inhibitor of apoptosis protein (XIAP). Meanwhile, the specific anti-ccRCC mechanisms of the pro-apoptotic herbal mixture Shiyiwei Shenqi Pian (SSP) remain undefined. PURPOSE: To systematically discover the key bioactive compound within SSP a...

Dihydroberberine regulates the ferroptosis-autophagy positive feedback loop in colorectal cancer by targeting PANX2.

BACKGROUND: Colorectal cancer (CRC) is one of the most common malignancies worldwide and remains a major clinical challenge, underscoring the urgent n...

Detecting Adverse Events Following Acute Care Encounters among Veterans Prescribed Non-Steroidal Anti-Inflammatory Drugs.

OBJECTIVES: To model the occurrence of adverse events (AEs) among Veterans prescribed nonsteroidal anti-inflammatory drugs (NSAIDs) during emergency d...

Machine learning reveals X chromosome transcriptional signatures that classify systemic lupus erythematosus in females.

BACKGROUND: Systemic lupus erythematosus (SLE) has a significant female bias; however, it remains unclear whether X-chromosomal dysregulation increase...

Elucidating the mechanism of taurine in alleviating osteoarthritis progression based on bioinformatics, machine learning algorithm, and experimental validation.

BACKGROUND: Ferroptosis, a form of regulated cell death driven by iron-dependent lipid peroxidation, plays a pivotal role in chondrocyte death and the...

Multi-omics Signature Predicts Anti-EGFR Therapy Benefit in Colorectal Cancer Liver Metastases: A Multi-center Cohort Study.

INTRODUCTION: Clinical management of RAS wild-type colorectal cancer liver metastases (CRLM) remains challenging because many patients exhibit primary...

Artificial intelligence (AI)-assisted diagnosis of skin diseases: From image classification to dermatology-specific multimodal clinical reasoning.

Artificial intelligence (AI) in dermatology has moved beyond the early paradigm of single-image classification. Dermatological diagnosis is achieved b...

Discovery of biomarkers for primary Sj ögren's syndrome based on multi-omics data, construction of diagnostic models, and clinical correlation analysis.

OBJECTIVE: Primary Sjogren's syndrome(pSS) exhibits significant clinical heterogeneity, which poses challenges for accurately assessing disease activi...

The influence of anti-involution training on the critical thinking of young healthcare professionals in dental outpatient clinics: a pre-post quasi-experimental study.

BACKGROUND: This study evaluates changes in critical thinking among dental healthcare workers after anti-involution training (AIT) and identifies key ...

Dominance, drivers and thresholds of DEN, ANA, and DNRA quantified using a global dataset of cross-ecosystems and machine-learning.

Nitrogen retention and loss in the critical zone are regulated by denitrification (DEN), anaerobic ammonium oxidation (ANA) and dissimilatory nitrate ...

A mechanism-guided framework for prioritizing membrane-interaction anti-Vibrio peptides from peptidomics data.

A mechanism-guided framework for prioritizing membrane-interaction antimicrobial peptide candidates from proteomics-derived peptide mixtures is presen...

Integrative analysis of machine learning and single-cell sequencing identifies IGHG1 as a therapeutic target for epimedium in diabetes-gastric cancer comorbidity.

BACKGROUND: The clinical comorbidity of diabetes mellitus (DM) and gastric cancer (GC) presents a significant healthcare challenge, as these two condi...

Universal deep learning strategy leveraging peptide atomic 3D structural information identifies diverse bioactive peptides from wheat germ protein hydrolysates.

Existing deep learning strategies for identifying bioactive peptides (BAPs) are often limited by single-task models and shallow sequence-based feature...

Dynamic gut microbiota shift in chronic liver disease progression: machine learning models and the E/Er ratio as a predictive biomarker.

BACKGROUND: Chronic liver disease (CLD) and its progression to compensated cirrhosis (CC), decompensated cirrhosis (DC), and acute-on-chronic liver fa...

Multi-strategy investigation identifies amentoflavone as a novel D3R antagonist for Parkinson's disease treatment.

BACKGROUND: Parkinson's disease (PD) still lacks therapies that can simultaneously improve symptoms and slow neurodegenerative progression, making the...

From in silico screening to mechanism: computational advances in developing anti-allergic agents for food allergy.

Food allergy represents a significant global health concern with considerable socioeconomic impacts. While natural bioactive components offer promisin...

Rational design of active pharmaceutical ingredient-based co-assembled nanoparticles for cancer immunotherapy.

Combination strategy is crucial for enhancing cancer therapeutic efficacy, but co-delivery of multiple active pharmaceutical ingredients (APIs) remain...

Spatially interpretable artificial intelligence framework to tailored neoadjuvant dual HER2 blockade in HER2-positive breast cancer.

Neoadjuvant dual HER2 blockade with trastuzumab and pertuzumab plus chemotherapy represents the current standard-of-care for HER2-positive breast canc...

A recyclable, mechanically robust, and anti-freezing chitosan/polyvinyl alcohol/polyaniline conductive hydrogel for multifunctional sensing application.

Conductive hydrogels have demonstrated fascinating application potential in flexible electronics. However, conductive hydrogels often exhibit poor mec...