Biomarker

AI Pipeline For Predicting Oral Cancer Progression

SUMMARY An AI-driven system analyzes histopathology images of oral lesions using deep learning, self-supervised learning, and attention methods to predict cancer progression risk with explainable and uncertainty-quantified outputs that inform treatment decisions. The Unmet Need: Automated and accurate malignancy prediction tools The… Read More

Diagnostic For Predicting Hospital-Acquired Infections And Identifying Causative Organisms

SUMMARY The technology is a fecal microbiome metabolite profile that can predict hospital-acquired infections and identify the causative organisms. This method efficiently measures specific chemical metabolites produced by bacteria in the stool microbiome. It provides actionable information for clinicians, guiding antibiotic treatment and identifying patients who might benefit from microbiome… Read More