The Privacy Risk Right Under Our Nose in Federated Learning
-Even if you’ve never heard of Federated Learning (FL) before, it is likely that your data is being processed and analyzed using this technique right now. Look around the room – at the laptop or mobile phone, you are currently using to read this blog, at the home speaker in your living room, your wearables that track your steps and…
Inpher wins the iDASH Secure Genome Analysis Competition
-Advances in biomedical analytics and AI have revolutionized modern healthcare. Predictive systems in this field allow for better medical and epidemiological research, as well as assist in tailoring proactive healthcare plans that can save lives. But the rise of automation in healthcare research and treatment comes with the challenge of maintaining patient privacy. As a team dedicated to responsible innovation,…
Accelerating Moore4Medical’s Innovation: Ensuring Patient Privacy in Healthcare AI
-We live in an era where the borders between Pharmaceuticals, MedTech, and the Electronic Components and Systems industry (ECS) are fading. With the intersections between these domains, new opportunities have emerged for healthcare companies and hospitals to deliver better, affordable, and personalized healthcare. One such initiative recently announced is Moore4Medical, an EU-driven project pioneered by Philips and top European healthcare…
