Access to healthcare data remains a key barrier to unlocking the $868 billion market opportunity in AI-driven healthcare by 2030 1. OneMedNet is positioned at the forefront by leveraging Palantir ...

Researchers in the University of Minnesota College of Science and Engineering have successfully 3D printed realistic human tissue simulants that can be used for medical training for surgeons and ...

Abstract: Deep learning (DL) methods have shown remarkable successes in medical image segmentation, often using large amounts of annotated data for model training. However, acquiring a large number of ...

Abstract: To address complexity of cancer progression, we propose a novel approach using 3D data visualization with brain tumors, the leading cause of cancer related death in both children and adults ...