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…
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…
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…
Better ESG Benchmarking with Secret Computing®
-As asset flows continue to pour into environmental, social and governance (ESG) factored investments, the problem of establishing reliable benchmarks continues to persist. The landscape of performance evaluation is bifurcated into established and quantifiable financial factors, like operating margin, and emerging ESG factors which can often be ambiguous. This makes it challenging for corporate managers to…
