Introducing Our Youngest Ambassador: Jackson Shacklett - A Rising Star for a Healthier Tomorrow 🌟
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A British non-profit organization, DeHealth, is revolutionizing the healthcare industry. It is pleased to announce that Legion Ventures, the most prominent community-driven VC in eastern Europe, has agreed to financially support the creation of a Decentralized Metaverse, which will take millions of doctors and patients to a new world where they can work, interact with each other in full 3D format and earn virtual assets by selling their anonymized medical data.
Legion Ventures is the biggest community-driven VC in eastern Europe, with more than 15,000 active members on TG and Discord, dedicated to funding projects in their early stages that we deem to have a significant impact in their respective niche. Its mission is to democratize access to early-stage blockchain investment opportunities. With their strong community and contribution and distribution methods, tokens are distributed more widely than other venture capital firms, leading to a more dedicated group of investors for the DeHealth project.
The DeHealth Metaverse will extend the VR, AR, and Mixed Reality (MR) technologies we use today. It will allow several participants, for instance, a doctor and a patient, to communicate via one virtual space, assimilating the real-world situation. Users can interact and virtual 3D models from physically different locations.
Through this mutual agreement, Legion Ventures will support DeHealth in creating the DeHealth Metaverse and its further expansion.
“Our mission is to take the healthcare sector to the next evolutionary phase. We are here to respond to the industry needs, and we’re happy to partner up with such a knowledgeable partner like Legion Ventures to make it happen,” says Denys Tsvaig, the Co-Founder of DeHealth.
About DeHealth HLT Network
DeHealth HTL Network is healthcare-oriented multi-layer decentralized technology to support advanced scenarios of interactions between medical data market players, focusing on data provenance and privacy-preserving features.