Prognostic algorithms based on deep learning have shown promise in detecting the onset of sepsis hours before the actual event but use a large number of biomarkers, including vital signs and ...

Sepsis, a life-threatening condition caused by the body's dysregulated response to infection, remains a leading cause of ...

A groundbreaking study introduces a novel Transformer-based time-series framework designed to predict daily risk alerts for ...

VNRX READ THE FULL VNRX RESEARCH REPORT RECENT EVENTS Nu.Q Discover to be Utilized in a Human Clinical Study On March 4, 2025 ...

Next-generation proteomics is enabling researchers to explore the proteome with unprecedented depth and scale. This article ...

Significant correlation p-value < 0.05. This study analyzed DNA methylation changes during sepsis and evaluated its potential as a biomarker. We included patients hospitalized with community-acquired ...

Objective To characterise gut microbiome in patients with hepatocellular carcinoma (HCC) and evaluate the potential of microbiome as non-invasive biomarkers for HCC. Design We collected 486 faecal ...

Our group is also studying the serious complications encountered in intensive care of trauma victims such as multiple organ failure and sepsis. These studies also include dynamics of biomarkers ...

Last weekend, when his condition deteriorated, doctors had warned that sepsis could become a major threat to his health. However, currently, doctors have said his condition is improving ...

This transformative partnership is designed to enhance Renovaro’s data repository, biomarker discovery capabilities, accelerate translational research, and bring precision medicine solutions to ...

Sepsis remains a leading cause of mortality in intensive care units, with current biomarkers often lacking specificity and rapid response to treatment. Advances in machine learning offer new ...