Personalized profiling of gut, skin and mucosal microbiota.

• AI-based algorithms use biomarkers and clinical test data to identify individual health patterns.

• The principles of 3P Medicine (Predictive, Preventive, Personalized) have been implemented.

Intelligent decision-making system for diagnosing and monitoring the state of the microbiome.

• Uses machine learning algorithms from ISDMCI 2024 for multivariate analysis of biomedical data.

• Developed in collaboration with Uzhhorod National University and European partners (Horizon Europe).

• Development of new formulas of pharmabiotics and postbiotics based on data on the individual microbiome (evidence base - Elsevier, 2022: Microbiome, Immunity, Digestive Health and Nutrition) .

• Testing safety, immunomodulatory effects, and cellular interactions.

• Introducing the concept of “biological reprogramming of microbiota” to improve metabolic health and immune adaptation.

• A unique initiative to preserve microbiota samples for future restoration is being implemented according to the model.

• Provides personalized health "insurance" for the purpose of disease prevention.

• Studying the impact of local traditional foods on the microbiome.

• Integrating ethnobotanical knowledge and modern nutrigenomics into personalized nutritional strategies.