Systems Theory of Aging

For the first time in the world, based on systems analysis, mathematical interpretations and models, as well as on the generalization of more than a hundred different theories of aging existing in world science, the Systems Theory of Aging (STA) has been developed, where aging is defined as a decrease in human viability with age. The Systems Theory of Aging allows us to generalize and organize known concepts about the mechanisms of aging in the form of a hierarchical scheme, starting with the fundamental cause of aging, defining three global mechanisms of aging and ending with specific mechanisms and manifestations of aging

Syndromic theory of aging

The structure of aging syndromes and their interrelations with syndromes of chronic non-communicable diseases (CNCDs) – the main causes of human mortality – has been developed. These syndromes define promising targets for therapeutic and preventive effects on the aging process.

Immunoregulatory Theory of Aging

The theory describes the most important mechanism of aging – a decline in cellular turnover rates, growth and tissue regeneration, as a result of age-related immunodeficiency.

The theory points to the possibility of influencing aging using existing immunopharmacological agents and natural growth factors found in the blood of young animals.

To confirm the theory, experimental studies were conducted on animals and humans of the geroprotective effects of such immunomodulators as transfer factor and alpha-fetoprotein, which showed a significant reduction in biological age.

Criteria base and classifier for selection of the most promising geroprotectors

Allows to select the most promising geroprotectors for clinical trials. The diagram shows an example of one of the possible classifications of geroprotectors.

Methodology for automatic generation of reliable recommendations for managing health, aging and quality of life

It is the result of using text analytics and AI technologies. It allows generating deeply personalized recommendation systems based on reliable scientifically proven sources - Cochrane articles and peer-reviewed articles in highly rated scientific journals.

Methodological basis for assessing biological age, risk of death and life expectancy

A family of mathematical models, algorithms and methods has been created that make it possible to assess the aging profile of the organism (the rate of aging of the organism as a whole and its vital systems), and to predict on this basis the risks of death and life expectancy. This methodological base allows us to significantly speed up and reduce the cost of clinical trials of the effectiveness and safety of means and methods of bioactivation, inhibition and reversal of aging (geroprotectors). The BICAL project team has the best technologies for assessing and predicting the risks of death, life expectancy, biological age and functional reserves of a person.

A comprehensive scheme and software of corrective effects on human aging processes

For the first time, various directions and components of heroprophylactic and health-improving measures have been combined in accordance with the influence on key points of the aging process and maintaining an optimal level of health.

Prototype of Internet technology for personalized health-preservation support (Intelligent Health-Saving System – InHSS).

Within the framework of the project, supported by a mega-grant from the Ministry of Education and Science of the Russian Federation, international and Russian official recommendations for health and quality of life management have been summarized and algorithmized. A prototype of the Intelligent Health-Saving System (InHSS) has been created, built using rule management methods and artificial intelligence. The system allows for automatic remote diagnostics of health status and quality of life and the generation of personalized recommendations for correcting this condition.