Media Feature: Be In Crypto

As we move deeper into 2025, Data Lake continues to push the boundaries of what’s possible in decentralized science. This quarter has been one of product expansion, platform launches, and strategic partnerships that lay a powerful foundation for the future of research and innovation. Here’s a recap of the most important milestones we’ve achieved:   🧬 The Launch of the Patient Registries Builder We are proud to unveil a new flagship product in the Data Lake ecosystem: the Patient Registries Builder. Built in direct response to the needs of our clients, this proprietary technology enables fast, compliant, and efficient creation of patient registries—a process that typically requires months of legal reviews, technical development, and manual coordination. Our Registry Builder simplifies and automates the process through a smart, modular framework, allowing stakeholders in our ecosystem to: ✅ Create medical interventions tailored to any therapeutic area or indication ✅ Deploy front-ends for analyst interaction ✅ Leverage the Data Lake Chain for secure and transparent consent storage ✅ Ensure GDPR and HIPAA compliance of Consents by design Whether it’s a pharma partner launching a rare disease registry, a researcher collecting real-world data, or a DeSci DAO engaging a patient community, our Registry Builder

We’re thrilled to announce that the first-ever project on LAKE.fun has just launched today, at 2 PM CET! This marks an important step forward in decentralized, community-driven science, and we couldn’t be more excited to share it with you. The first project, in collaboration with MedMetrix, is focused on improving the AI-powered dermatological analysis tool, paving the way for more accessible, accurate, and innovative healthcare solutions.   About the Project Aim The inaugural project aims to enhance the capabilities of the tools provided on the MedMetrix platform, which uses an AI algorithm (EU certified software as a medical device) to analyze over 73 skin conditions with just a smartphone photo. Research participants will contribute their data for the further development of the platform and new tools/algorithms. Read more about the science behind the technology here: Using Artificial Intelligence as a Diagnostic Decision Support Tool in Skin Disease: Protocol for an Observational Prospective Cohort Study – PubMed A guide to deep learning in healthcare – PubMed Rewards  Each participant will receive free analysis of their skin lesions with the use of a certified medical AI algorithm (market value up to 30 EUR).  All the participants who finish the research pathway using