DEMOCRATIZING LONGEVITY, GLOBALLY
THE APP
Take control of your data and harness its earning potential
With the Longevity App, monitor essential health metrics to enhance your lifespan and accumulate RJV tokens along the way. These tokens unlock exclusive discounts on travel, supplements, medical tests, longevity therapies, and a wealth of other benefits!
OUR TECHNOLOGY
Revolutionary AI for Human Body Analysis
Harnessing the prowess of sophisticated AI, our team at Rejuve aspires to craft intricate, dynamic models of human bodily functions. This AI framework will be enriched with data from both Rejuve Network participants and an array of biological and medical databases. Our initial AI suite taps into the strengths of neural nets, Bayesian nets, simulations, and the groundbreaking AGI engine, OpenCog Hyperon.
Rejuve's AI ambition goes beyond simulating mere surface-level characteristics of living systems. We target an in-depth representation, capturing the inherent processes, mechanistic insights, and arising structures of these systems.
OUR TECHNOLOGY
Realizing the Vision: Decentralized N-of-1 Trials
One of our first milestones in realizing the power of our core technologies is building functionality for decentralized N-of-1 trials.
These trials offer a reliable way to generate evidence on longevity optimization strategies — tailored to every individual.
With the forthcoming Rejuve Longevity App, health enthusiasts can anticipate unprecedented accessibility to N-of-1 trials!
Our Bayes Expert Markov Decision Process enables the Optimization of multiple longevity goals. We’ve compiled hundreds of biomarkers to help users track a variety of health outcomes. Optimal levels for all biomarkers will be provided, enabling users to track how each intervention brings them closer to their health targets. This robust infrastructure will give everyone the tools to run decentralized and N-of-1 trials directly from the App.
Additionally, our Bayes Expert will be able to integrate the results of these trials into its large body of data. The more users conduct N-of-1 trials on the platform, the greater the generalizability of the generated data to the wider population. This approach supports our goal of simultaneously fostering healthier individuals and populations.
