
It is often a long process from health to disease. At the beginning, it is a tip of balance. In other words, the body doesn't bounce back so well after a disturbance. For instance, a meal brings a larger spike of blood glucose while the fasting blood glucose stays normal. Such a change is subtle and often overlooked. In the eyes of a doctor, the individual is not in a state of disease , or even pre-disease.
A multitude of factors, called health risks, weakens the ability of the body to restore the balance. The risk comes from a variety of sources, such as environment, lifestyle, microbiome, genetics, epigenetics, etc. Identifying and averting health risks helps a person to maintain health at its optimal, hence stopping diseases from happening at the very beginning.
Research on health risk is gaining momentum. Populational cohort studies are now providing large volumes of data that allow identification of the risk, and researchers are reporting interventions that may serve as effective risk countermeasures. Notably, some alternative medicines, such as Traditional Chinese Medicine, brings ancient wisdom on how to keep an optimal balance of health.
We are a startup focused on evidence-based, data-driven health risk analytics. Our team blends clinical insight with data science to help individuals and organizations understand, prioritize, and reduce preventable health risks.
Comprehensive risk profiling across genetics, lifestyle, environment, and medical history—paired with clear, actionable countermeasures tailored to your goals.
We use AI and large-scale datasets to model the factors that may impact an individual's health, and we recommend evidence-based, practical interventions accordingly through our healthcare professionals.
A group of visionary researchers passionate on revolutionizing health and wellness
A group of AI engineers who are poised to convert the mission to reality
A team of healthcare professionals who contribute with clinical expertise
A Scientific Advisory Board made of world-class experts on biomedical research