The tumor microenvironment (TME) is a critical factor in antitumor immunity and treatment outcome in cancer therapy. We have developed an analysis tool called the immuno-oncology biological research (IOBR) to investigate the TME and its role in antitumor immunity. Leveraging multi-omics data, IOBR facilitates comprehensive analysis of TME characteristics, immune interactions, and their impact on immunotherapy outcomes.

A new study introduces an AI-integrated dynamic biomarker system that detects early disease tipping points and classifies thyroid cancer into actionable subtypes, paving the way for precision diagnosis and treatment.

Through large-scale cohort analysis, researchers have established a novel and stable classification of sepsis patients. Multi-machine learning integrated prognostic models prove highly effective in identifying high-risk C3 subtype patients, offering significant clinical utility. ELL2 derived from B cells as a potential new biomarker for prognosis prediction and diagnostic differentiation in sepsis patients.

Researchers at China Pharmaceutical University have developed GseaVis, a user-friendly R package that significantly enhances the visualization of Gene Set Enrichment Analysis (GSEA) results. This innovative tool addresses longstanding limitations in existing GSEA visualization methods, providing researchers with publication-ready, highly customizable plots that simplify the interpretation of complex genomic data.

When fermented with plant-derived bacteria, stevia leaf extract is toxic to pancreatic cancer cells but not to healthy kidney cells