This is what gets us excited - seeing builders create real-world apps that protect patient privacy. Diffuse Med shows how Blind Computation makes previously impossible use cases possible. Great work Pedro Lourenco and team!
Saving businesses 1 day every week @ Tech Cortex | Computing student at the University of St Andrews
👨💻 What a weekend at Encode's Web3 Conference and Hackathon in London! With the St Andrews Blockchain Society, I had the chance to dive deep into Web3's latest innovations—from Layer 2 solutions to oracles and fresh blockchain concepts, my mind is buzzing with ideas! 💡 🌐 One project that really stood out to me was Nillion 🌐 Nillion's secure computation network reshapes how we think about data privacy and decentralization. Imagine performing computations on encrypted data without the need to decrypt it first. This innovation has the potential to revolutionise industries dealing with high-value, sensitive data. 👨⚕️ For the hackathon, my team and I created Diffuse Med, a med-tech app leveraging AI and Nillion’s technology. Our aim? Enable medical professionals to conduct preliminary diagnoses, with AI, based on patient symptoms—securely and with full respect for data privacy regulations. Using something like the OpenAI API for this would not be possible since it would violate the privacy of the patients.🩺🛠️ 🥇 After two intense days, we took home the award for Best Specialised Use Case of Nillion's AIVM! 🥇 Huge thanks to my teammates Alexander Catterall, Alvin Lam, Emiri H., and Regan Hwang, and a special shoutout to Tom Terado from the Nillion team for the support. 💻 Check out our repo here: https://lnkd.in/g9BPm94a Already excited for the next Web3 project 🚀