The Rejuve Solution

The Rejuve.AI team recognizes that biomedical research combined with AI technology can lead to potential anti-aging solutions. Modern clinical and laboratory techniques for collecting data, combined with AI analytical, simulation, and reasoning tools for processing it, can yield profound insights into understanding and undoing human aging in the near future. Rejuve is prepared to lead the way in inventing and refining new solutions, employing artificial intelligence to discover new anti-aging treatments.

Individuals, modelers, clinics, and other organizations that are members of the Rejuve

Network contribute personal medical, biological, and lifestyle data to the Rejuve Data Commons, a secure database that provides each member with insights and control over their data. Data contributions are rewarded with Rejuve (RJV) tokens.

Scientists at Rejuve combine the data with public biomedical datasets and data from partner labs and public databases. They then use Rejuve's AI framework, which runs on the SingularityNET marketplace, to analyze the data. Data scientists and modelers can add their models, which will then self-organize into groups that change over time to help find a cure for aging. Together with our premium AI for Artificial General Intelligence,

OpenCog-Hyperon, these models of increasing intelligence will suggest therapies for life extension, age-related diseases, and possible cures for aging. These therapies will then be refined and tested in biological research labs and clinics operating in partnership with Rejuve Network.

This process will generate hypotheses in critical areas such as target discovery for gene therapies and drugs, drug repurposing, and novel forms of therapeutics based on a variety of scientific principles. The first are causal models that use cutting-edge AI to generalize across and within species to cure aging as well as aging-related diseases. Second, for healthspan extension, we employ precision medicine principles, an approach that places a greater emphasis on regimens combining diet, nutraceuticals, exercises, and so on that are tailored to individual biochemistry and biorhythms rather than one-drug-fits-all solutions, driving new discoveries delivered to members through partner clinics and other channels. When appropriate, newly discovered therapies may be disseminated through collaborations with Business-to-Consumer (B2C) e-commerce providers, or possibly through a custom Rejuve B2C e-commerce platform. While the long-term value of nutraceuticals and other similar treatments may pale in comparison to the efficacy of gene therapies and other novel treatments discovered by AI from Member data, these shorter-term solutions may still benefit Members' health and longevity. Network members also get a share, in the form of token rewards, of any money made from licensing therapies made from member data. The amount of money each member gets is based on how much data they contributed, which is tracked by Self-Sovereign NFTs (see Tokenomics section).

Data for the AI platform will be sourced from Rejuve Network members as well as other biological and medical databases. Different members will contribute varying types and quantities of data. For example, one person may contribute data from a wearable device and nutrition interviews, whereas another may contribute nutritional interviews, monthly blood test results, and information on longevity supplements. Data from previous studies and major member data contributors/"power users" can aid in the interpretation of smaller amounts of data contributed by lighter users, allowing us to make recommendations to those users and better leverage their data for future studies.

Rejuve Network members from the scientific community will provide data science and AI models of the human body to feed the AI platform. One method we provide for scientists to submit models is through Bayes Expert, a service on the SingularityNET platform that allows scientists to express models in rules and statistics from systematic reviews and meta-analyses. Professional modelers and AI developers can submit their own generative models and simulations as well. Rejuve has an algorithm that generates ensembles from groups of models, and models used to create treatments will be compensated in the same way as other data contributors. Clinical trial laboratories generate a different type of aggregated data and will be compensated as well.

Rejuve Network members are rewarded proportionally for the data they share, and they also get many other benefits, such as a personalized longevity analysis made by Rejuve's AI to help doctors, nutritionists, fitness coaches, and other experts make better decisions. Rejuve's AI will be able to make recommendations for each person based on their unique set of traits. It will also be able to give feedback in "N of 1" methods, which involve trying out a number of treatments to see which one works best.

Rejuve is fully committed to the underlying principle that individuals should retain control over their own data. The same should be true for large and small clinics. The Rejuve Network will initially be coordinated centrally. As the Rejuve ecosystem evolves and becomes fully operational, the Network will be democratically governed by its members.