In the highly regulated world of healthcare and life sciences, innovation isn’t just a goal, it’s a necessity. New machine learning (ML) models promise to transform diagnostic devices, patient monitoring and clinical decision-making. But there’s a catch: most traditional ML systems rely on the cloud and remote, high-powered servers for analysis. This approach can create…