Bleeding, Thrombosis and Vascular Biology

Mortality and venous thromboembolism (VTE) are major risks for patients with hematological malignancies. However, they are commonly underrepresented in major clinical trials of VTE. Treatment decisions are further complicated by...

The goal of machine learning (ML) is to create informative signals and useful tasks by leveraging large datasets to derive computational algorithms. ML has the potential to revolutionize the healthcare...

Comprehensive protein analyses of plasma are made possible by high-throughput proteomic screens, which may help find new therapeutic targets and diagnostic biomarkers. Patients with cancer are frequently affected by venous...