AI Reveals Hidden Molecular Signals Boosting Thrombosis Risk
Researchers from the Sant Pau Research Institute (IR Sant Pau) and CIBERER have developed an AI tool that identifies hundreds of molecular signals to predict venous thrombosis. By integrating clinical, genetic, and transcriptomic data, the system improves risk stratification for idiopathic venous thromboembolism, as detailed in the Journal of Thrombosis and Haemostasis. Why do some … Read more