Healthcare is currently at a massive crossroads. On one hand, we have the incredible potential of artificial intelligence to diagnose diseases faster than any human could. On the other hand, we have the sacred duty to protect patient privacy. This … Read More
Homomorphic Encryption
Re Identification Risk : AI and the New Reality of De-Anonymized Patient Data
For decades, the standard practice in medical research and data sharing involved “anonymizing” patient records. The process seemed simple and secure: remove explicit identifiers like names and addresses, and the data could be safely used to train models, study populations, … Read More
Decentralized AI in Research : Secure Data Pooling Across Global Institutions
Imagine a future where the world’s most brilliant medical researchers, scattered across continents, can collaborate on a single, massive dataset without ever compromising a single patient’s privacy. Sounds like science fiction, right? Well, that future is arriving today through Decentralized … Read More