Genefitletics has introduced Agegorithm, a machine learning-powered model designed to measure biological age by analyzing molecular and cellular processes. This advanced system evaluates gut and oral microbiome functions, along with mitochondrial activity, to determine how biological aging compares to chronological age.

Built on a data-driven mathematical algorithm, Agegorithm is developed using six billion molecular data points and phenotype metadata, specifically tailored to the Indian adult population aged 18 to 55. The model operates on PROTEBA, Genefitletics' machine learning platform, which assigns a numerical value to biological age by assessing mitochondrial efficiency and molecular activity.

Agegorithm integrates over 400 biochemical pathways and considers key health parameters, including oral health, immune response, metabolic and heart health, energy efficiency, gut health, and stress resilience. It identifies factors contributing to systemic inflammation and oxidative stress, which accelerate aging. These insights fuel Genefitletics’ proprietary recommendation engine, delivering personalized nutritional, supplement, and oral hygiene solutions to optimize biochemical functions and improve biological age.

This feature is seamlessly integrated into ORAHYG PRO, the company’s full-body biochemistry solution, at no additional cost.

Sushant Kumar, Founder and CEO of Genefitletics, highlights the significance of focusing on molecular and cellular-level measurements beyond traditional aging markers. The company also offers BIACCESS, a platform for healthcare practitioners, enabling precise treatment approaches through molecular insights undetectable by standard diagnostics.