Rejuve.AI is an AI-powered decentralized longevity network with a mission to extend healthy human life.
Health data has become a valuable asset in today’s world, but is generally controlled by third parties who either lock it away in a data silo, unavailable to use for research or medical benefit; or else profit from selling it without expressed permission or knowledge. Rejuve.AI will allow users to share their data for research purposes, while keeping it private and secure using blockchain technology, and compensating them for resulting discoveries. Researchers and AI Modelers can contribute their models and be compensated like the users are.
Rejuve.AI also provides direct value to its community of users through AI systems which analyze users’ data, evaluate their health state, and provide research-based health and longevity recommendations. The system provides a score that indicates the users’ general level of health, based on various factors such as blood pressure, cholesterol levels, lab reports, and more. Our AI will take crowdsourced AI models from the community of science to construct a dynamic mulitresolutional mechanistic model of the human body, which will be used by medical and AI researcher network members to develop new drugs, therapies, and treatments, exclusively for longevity.
Rejuve.AI offers the disruptive technology of networked science, using AI to create the “deep reals” of complex adaptive systems simulation. Our AI disrupts the community of science, combining the separate reductionist studies and insights of each scientist into a coherent, tangible wholes of systems biology. It creates a model of the community consensus, a dynamic multiresolutional mechanistic simulation of the human body that can itself be studied and tested.
We initially offer two generative model architectures in which scientists to contribute their theories and the studies that support them:
The Generative Cooperative Network (GCN) is a novel multi-agent architecture that can assemble crowdsourced generative AI including BayesExpert and the Modular Transformer VAE and other simulation models into a coherent whole. The GCN uses coevolution of intelligent agents to choose from and cull user contributed models , to assemble an ensemble mimic, that captures the causal mechanistic processes of maintenance and decay in living systems.
Rejuve.AI is a decentralized ecosystem and membership network that enables users to monetize their models and data, and researchers to access the most accurate and comprehensive model and dataset for longevity research. It starts with the Longevity mobile app, which allows people from all over the world to contribute health data to receive personalized insights and recommendations, and also to build the live interactive longevity research database. Clinicians and health product vendors list their products and services in the in-app Rewards Store to increase their exposure, and provide with Rejuve network members easier access to ways to improve their health and longevity, and generate more data to contribute in exchange for more rewards. Data scientists, AI scientists and researchers submit their models that turn the growing database into support for theories in a crowdsourced, consensus model of the human body. Researchers will be able to request data and usage of the crowdsourced model as well as native AI services via a web portal, to construct new theories and models for longevity that they can also submit to the crowdsourced model to lead to the discovery and development of new therapies.
The currency of the network is the RJV token, which can be earned by data and AI modelers in exchange for their contributions. These tokens can be can be redeemed for exclusive discounts on wearables, medical tests, consultations, and the latest longevity therapies health supplements. The Rejuve.AI Data NFT allows contributors to keep track of their data permissions, and also serves as a decentralized ID, marking them as the owner of their data and model contributions. Rejuve.AI utilizes fractionalized Product NFTs and AI to track the level of contribution of contributed models and data, and to reward the contributors proportionally, granting partial ownership of newly incepted products. Thus creates an everlasting link between their original contribution and that product throughout its life cycle. These NFTs will enable truly decentralized collaborative science research endeavors.
