The most advanced tech algorithm develops programs based on personal input, including DNA

Our model enriches patient data with existing knowledge, clinical trial results, and data on body processes (oxidative reduction, genetic, and metabolic).

This allows us to create a comprehensive diagnostic picture with minimal input.

The algorithm then predicts the best combination of treatments to achieve optimal results.

How the model works

How we age is influenced by lifestyle choices and genetic variants. Pinpointing exactly how your body is aging is challenging, as lifestyle and symptoms are subjective, and some biological mechanisms remain unknown.

Despite these challenges, extensive data from cellular, animal, and human studies, combined with generative AI algorithms, help create a comprehensive diagnostic picture. Our algorithm extrapolates between your genetic profile and treatment methods to fill in genetic data gaps and verify subjective information.

Your data is fed into an AI algorithm that classifies 12 aging hallmarks, determining their presence and guiding the selection of appropriate interventions. These interventions, ranging from conservative to intensive, are sequenced using AI to ensure compatibility and effectiveness. This nonlinear approach allows for high personalization of anti-age strategies, considering your individual characteristics and interactions between different treatments.