Personalized medicine is based on the understanding that each person's body functions according to its own biological rhythm. Health is influenced not only by genetic and metabolic factors, but also by day and night cycles, diet, physical activity, and light exposure.
Scientific research confirms that circadian rhythm disorders are associated with the development of metabolic, cardiovascular, neurological, and age-related diseases. That is why analysis of the circadian system is becoming the basis for accurate and personalized decisions in medicine.
RhythmoCare evaluates not individual indicators, but their interaction within a single biological system.
Sleep phases and structure
In calm and in motion
Daytime and nighttime fluctuations
Circadian changes
Time and regularity
Intensity and duration
Adaptation to the environment
RhythmoCare turns data into concrete actions.
Optimize sleep and daily routine
Adjust meal times
Plan physical activity
Determine the optimal time for procedures
Recommendations are formulated taking into account chronotype, seasonality, and individual lifestyle.
RhythmoCare begins with a personalized analysis of the user's circadian rhythms, but the product architecture has been designed from the outset as a scalable digital platform.
The product works with biological data in dynamics, forming a single data layer of circadian rhythms for individual recommendations, clinical interpretation, and the development of preventive and therapeutic models.
In Ukraine, this approach is innovative and has no direct analogues in this format.

Standard indicators (temperature, pressure, heart rate)
Possible first signs of desynchronosis – how much % differs from the standard after 7 days of measurements;
Brief recommendations on diet, physical activity, and sleep at the end of each week;
All features of the free package
Additional variables (applying parameters to the current length of day/night), connection with seasonality (in conditions of long-term use), consideration of time zone changes during flights, and relevant recommendations;
Correlation between indicators (possibility of comparison with different chronotypes: owl, lark, pigeon) and construction of complex correlation graphs of parameter interaction;
Detection of desynchronosis;
Involvement of doctors (separate application for patient users (with the ability to connect an external doctor to the analysis data) and doctor users (with a list of patients and their circadian rhythm records);
Recommendations with specific times for taking medication;
Recording the time when the tests were taken and the conclusion about the stage of the circadian rhythm at which they were taken – at the moment of deviation from the standard, and assistance in interpreting the results or a recommendation for retesting.
Data entry and synchronization if melatonin/cortisol was measured several times during the day (from saliva, urine) to establish a clear circadian rhythm



