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BayesNet ‐ Introduction
The scientific community relies on a well-established and respected methodology for discovering and testing medical advances, which, while thorough, can be time-consuming and resistant to disruption from the tech sector. Traditional AI predictors often lack transparency and do not focus on causation as rigorously as Randomized Controlled Trials (RCTs) and epidemiological statistics. In contrast, Bayes Expert by Rejuve.AI generates rule-based Bayesian network models that align with RCT methodologies, enabling the rigorous connection of scientific theories. This efficient approach allows for crowdsourcing support through interconnected studies and data. Rejuve.AI's Bayes Expert crafted the Longevity Bayesian network model, the first AI model integrated into the Rejuve.AI framework, currently operating in the Longevity app beta. This model connects variables such as chronic illnesses and aging signs to understand their interrelationships better.
Bayes Expert, a premier software by Rejuve.AI, creates Bayesian network models, including the Longevity Bayesian network model that runs as a SingularityNET service. This tool empowers scientists to crowdsource and contribute to scientific models without needing data science expertise. By submitting data and theories through an online form, scientists can improve upon a hand-coded “seed” network. While Bayesian networks traditionally required collaboration between data scientists and medical scientists, Bayes Expert democratizes this process, making it accessible to any scientist.
Bayes Expert is currently running in the backend of the SingularityNET marketplace on Testnet, to be published to mainnet when the app is live and the service's front end is published. This means that Rejuve’s native AI service will have immediate real-life usage, running in the Longevity app and being available on the platform for scientists to construct their own statistical models.
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