BICAL

Bio-Information Capsule for Active Longevity

We develop personalized strategies to extend active lifespan based on evidence-based science and digital technologies.
Project mission
Extend active lifespan by slowing biological aging rate.
Create a culture of conscious management of health and aging.
Create a technological ecosystem that combines fundamental research and applied solutions in the field of anti-age medicine.
About the project
BICAL is a multidisciplinary research project aimed at increasing the active life expectancy of a person through the integration of advances in gerontology, systems medicine and artificial intelligence. The project's foundation is an Intelligent Digital Platform (IDP), which carries out a comprehensive analysis of biomedical data to generate personal recommendations for slowing aging and maintaining health.

The project includes the development and production of a new family of pharmaceuticals and dietary supplements aimed at supporting vital body systems and correcting age-related changes.
Project mission
Extend active lifespan by slowing biological aging rate.
Create a culture of conscious management of health and aging.
Create a technological ecosystem that combines fundamental research and applied solutions in the field of anti-age medicine.
About the project
BICAL is a multidisciplinary research project aimed at increasing the active life expectancy of a person through the integration of advances in gerontology, systems medicine and artificial intelligence. The project's foundation is an Intelligent Digital Platform (IDP), which carries out a comprehensive analysis of biomedical data to generate personal recommendations for slowing aging and maintaining health.

The project includes the development and production of a new family of pharmaceuticals and dietary supplements aimed at supporting vital body systems and correcting age-related changes.
Artificial Intelligence for Health
Our platform uses AI to analyze scientific publications, biobank and registry data, clinical data and personalized questionnaires. Algorithms identify correlations between aging biomarkers, correction factors and lifestyle, forming predictive models for the development of personalized interventions.
Personalized approach
An individual strategy is developed for each user, taking into account age, medical history, habits, biomarkers and life goals. This is not a generic template, but a personalized digital roadmap.
Scientific validity
The project is based on evidence-based medicine and modern research in the field of biology of aging, epigenetics and preventive medicine. We select only verified sources and rely on international scientific standards.
What sets us apart
Scientific validity
The project is based on evidence-based medicine and modern research in the field of biology of aging, epigenetics and preventive medicine. We select only verified sources and rely on international scientific standards.
Personalized approach
An individual strategy is developed for each user, taking into account age, medical history, habits, biomarkers and life goals. This is not a generic template, but a personalized digital roadmap.
Artificial Intelligence for Health
Our platform uses AI to analyze scientific publications, biobank and registry data, clinical data and personalized questionnaires. Algorithms identify correlations between aging biomarkers, correction factors and lifestyle, forming predictive models for the development of personalized interventions.
What sets us apart
The project is based on
National Gerontological Center:
Intelligent digital platform:
20
monographs
300
peer-reviewed scientific publications
6
teaching aids for doctors
40
international and national patents
Strategic direction of development
The modern wellness market is saturated with solutions that appeal to the idea of ​​improving well-being and “rejuvenating” the body. However, the vast majority of such practices lack scientific verification and are not based on evidence-based mechanisms of action on biological aging.
Wellness (from the English wellness - “well-being”) is a comprehensive approach to life aimed at achieving physical, emotional, social and spiritual balance. The concept of wellness emphasizes prevention and conscious management of health and aging, not just the treatment of disease.
Our approach is based on the achievements of gerontology, biology, genetics and systems medicine. We approach aging as a manageable biological process that can be influenced through data integration, modeling physiological trajectories, and applying personalized intervention strategies.
Our goal is to develop platform solutions that can not only improve the subjective quality of life, but also steadily reduce the rate of biological aging, creating scientifically based scenarios for extending the active period of life.
The project is aimed at creating a new paradigm in the field of prevention of age-related conditions, connecting academic science with practical digital health technologies.
Gerontology is a science that studies the biological, social and psychological aspects of human aging, its causes and ways to combat it.
The BICAL project takes a fundamentally different position.
I
II
III
IV
STAGE IV
Widespread commercialization of BICAL and a new service for the pharmaceutical industry.
STAGE III
Testing BICAL to increase life expectancy and create new segments of the global market.
STAGE II
Commercialization of IDP and testing of BICAL for biological age reduction.
STAGE I
Creation of IDP and selection of active longevity means
Mass market launch of a new family of pharmaceuticals, dietary supplements and devices for managing health and aging for humans and pets.

Launch of a new service for optimizing clinical trials for the pharmaceutical industry and genetic engineering.
Testing BICAL for the effects of increasing the duration of active life and the level of vital activity of humans and domestic animals.

Preparation of industrial designs of BICAL as a new segment of the pharmacological market and the market of goods and services in the field of health and aging management.

Creation of a service to speed up and reduce the cost of clinical research for the pharmaceutical industry and genetic engineering.
Production and testing of selected active longevity products for the effects of a sustainable decrease in biological age - rejuvenation effects.

Introducing IDP services to the global market in the wellness and healthtech segments using BICAL.
Creation of an industrial design of an Intelligent Digital Platform (IDP) for managing health, aging and quality of life and providing the functions of the BICAL information shell.

Intellectual analysis of the world's gerontological and biomedical data and selection of the most effective and safe means of active longevity.
We are interested in collaboration with research centers to implement joint scientific and applied projects aimed at personalized improvement of people’s quality of life in all areas: health, physical activity, active longevity, psycho-emotional state, performance, etc.
The wellness market is booming and currently worth $6 trillion. Our research in this area is aimed at creating practical mass user services that help methodically correctly assess the state of a person and his environment.

Based on the obtained digital profile of the “person-environment” system, a scientifically based set of recommendations for ensuring active longevity, ranked by effectiveness, is formed.
Scientific director of the BICAL project
D.Sc. (IT), PhD (Biol.),
Prof. Vyacheslav N. Krut’ko
Curriculum Vitae
The scientific and methodological group of the Project “Bio-information capsule of active longevity (BICAL)” conducts research in the field of deeply personalized management of the main factors that determine a person’s life expectancy and level of vital activity.

Such factors can be both special pharmacological drugs (geroprotectors), and various hardware methods of influencing the human body, as well as healthy lifestyle and wellness factors.

Our research is aimed at obtaining the most reliable information about the safety and effectiveness of these means and methods according to the criterion of active longevity using modern methods of big data analysis and artificial intelligence.

The scientific group of the project includes 7 doctors and 9 candidates of science, as well as experienced specialists in the fields of gerontology, healthy lifestyle, dietetics, preventive medicine and modern information technologies.

The scientific group of the project actively cooperates with Sechenov University, Research Institute of Occupational Medicine, Federal Research Center Institute of Management of the Russian Academy of Sciences and other leading specialized scientific institutions.
R&D
Alexander Khokhlov
Doctor of Biological Sciences, Professor, Head of the Sector of Evolutionary Cytogerontology, Faculty of Biology, Moscow State University, creator of the course of lectures “Fundamentals of the Biology of Aging.”
Oleg Grigoriev
Doctor of Technical Sciences, Professor, Director of the Institute of Artificial Intelligence Problems of the Federal Research Center Institute of Management of the Russian Academy of Sciences.
Nikolay Briko
Academician of the Russian Academy of Sciences, Doctor of Medical Sciences, Professor, Head of the Department of Epidemiology and Evidence-Based Medicine at Sechenov University.
Yuri Popkov
Academician of the Russian Academy of Sciences, Doctor of Technical Sciences, Professor, Director of the Institute of System Analysis of the Federal Research Center Institute of Management of the Russian Academy of Sciences.
Dmitry Shestakov
Doctor of Law, Professor, Doctor of Business Administration (DBA (BBA.UK), leading specialist in the field of legal and management problems of large businesses in the field of information technology, member of the Board of Directors of GeroPro AI LLC.
Project Expert Council
Igor Gundarov
Secretary of the Expert Council
Doctor of Medical Sciences, Professor, leading specialist in the field of health protection and quality of life, Professor of the Academy of Labor and Social Relations.
Oleg Mitrokhin
Chairman of the Expert Council
Doctor of Medical Sciences, Professor, Director of the Institute of Public Health of Sechenov University.
Our team
Ivan Smirnov
Doctor of Technical Sciences, leading specialist in the field of networking, head. Department “Intellectual Information Analysis” of the Federal Research Center Institute of Management of the Russian Academy of Sciences
Evgenia Speranskaya
Lead Analyst
Marina Boldyreva
Manager, analyst
Vladislav Konoplitsky
Software developer, data analyst
Egor Strelnikov
Programmer-developer, data analyst.
Alina Fedina
General practitioner, gastroenterologist, nutritionist
Valery Novoselov
Leading specialist in the field of gerontology and geriatrics, gerontologist, general director of the ANO Scientific and Medical Gerontological Center, author of more than 10 monographs in the field of gerontology and prevention of aging.
Alexander Zgursky
Ph.D., biochemist, gene. Director of Medbiokor LLC, author of numerous scientific works and patents on gerontology, world-famous scientist in the field of cellular rejuvenation technologies.
Vitaly Dontsov
Doctor of Medical Sciences, leading specialist in the field of theoretical and experimental gerontology, author of more than 16 monographs and 200 articles in this field (www.ngcrussia.org).
Mark Deminov
Leading specialist in the field of big data analysis, artificial intelligence methods and information systems for quality of life management, CEO of Soyuz Sports and Health LLC, member of the Board of Directors of GeroPro AI LLC
Vyacheslav Krut’ko
Project Leader, Doctor of Technical Sciences, Candidate of Biological Sciences, Head. Department of Medical Informatics, Federal Research Center Institute of Management of the Russian Academy of Sciences, Professor at Sechenov University, CEO of GeroPro AI LLC.
Our partners
LLC "Union of Sport and Health"
N.F. Izmerov Research Institute of Occupational Medicine
Gerontology Section of the Moscow Society of Naturalists
Federal Research Center “Informatics and Control” of the Russian Academy of Sciences (FRC IC RAS)
Sechenov University
Lomonosov Moscow State University
Moscow Institute of Physics and Technology
Bauman Moscow State Technical University
National Medical Research Center for Cardiology
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
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Scientific achievements
Clinical Decision Support Systems (CDSS)
Family of CDSS " Aging Diagnostics: Biological age"

A family of CDSS for determining the functional reserves of vital systems of the body and calculating the aging profile (the biological age of the body as a whole and the biological ages of its main vital systems), analyzing the dynamics of the aging profile, predicting the risks of death and life expectancy. There is a version for automatic construction of optimal panels of aging biomarkers according to user criteria.
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Technological results
Eurasian Patent Granted for Invention "Measuring Unit" No. 050215
June 20, 2025
The invention pertains to the fields of psychology, cognitive research, and neuroscience, as well as technologies aimed at optimizing the process of falling asleep and improving sleep quality. To eliminate psycho-emotional barriers to falling asleep, the system employs psychological questionnaires, cognitive tests, and artificial intelligence (AI) with personalization algorithms based on machine learning and natural language processing (NLP). It uses LLaMA, FALCON, and MISTRAL models trained via adaptor fine-tuning. The system generates personalized texts that are adapted to the user's current cognitive and emotional state.
The technical result of the claimed invention is the development of a method for eliminating psycho-emotional barriers to falling asleep. This method provides a systemic and personalized approach to identifying and removing emotional and cognitive stimuli that interfere with optimal sleep onset — all while minimizing time and effort on the part of the user.
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News
Certificate of registration of the program "Biological Age Assessment Tool" received
March 2025.
The program is designed to determine the rate and profile of aging by calculating biological age (BA). The program analyzes 8 key and 3 additional individual indicators, allowing you to accurately calculate BA. The main tests required to determine BA are simple and can be carried out using the application itself. The program calculates BA based on average statistical data of physiological norms for different age groups. BA is compared with the calendar (CA), and the difference is displayed for each indicator (partial BA) and on average for all indicators (average BA). The program is designed for both professional use and for a wide range of users without special training, ensuring the availability of diagnostics based on biological age. Computer type: mobile devices; OS: Android 5 and higher.
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Patents and certificates

Registered Address:

125130, Moscow, Intracity Territory of the Voykovsky Municipal District, Zoi i Alexandra Kosmodemyanskikh St., Building 14/10, Apt. 57

Primary State Registration Number (OGRN): 1237700680359
INN (Taxpayer Identification Number): 7743428529
KPP (Tax Registration Reason Code): 774301001

OKVED (Russian National Classifier of Economic Activities) OK 029-2014 (NACE Rev. 2):

72.19 – Other research and experimental development on natural sciences and engineering

IT Company Profile: LLC “GEROPRO AI”

Additional Business Activities:

62.01 – Software development
62.02 – Consultancy and related activities in the field of computer technologies
63.11 – Data processing, hosting services and related activities
63.12 – Web portal activities
63.99 – Other information service activities not elsewhere classified
72.11 – Research and experimental development in biotechnology
75.00 – Veterinary activities
86.21 – General medical practice
86.90 – Other human health activities
86.90.9 – Other human health activities not elsewhere classified
93.19 – Other sports activities
96.04 – Physical well-being activities
96.09 – Other personal service activities not elsewhere classified