Recently, there has been increased global interest in wellness, health, and longevity. However, for most consumers, longevity is being marketed through potentially dubious interventions, such as one-size-fits-all supplements, lotions, and technologies. These interventions are not rooted in peer-reviewed science, nor are they contextualized or personalized. While these can be good business for those selling, they rarely drive positive outcomes for patients. A better outcome would come from a focus on deep and forward-looking testing of each person’s detailed biology to assess the progression and effects of aging and risks of age-related or health-limiting diseases, followed by creation of personalized protocols.
Why a long-term focus on health and disease-prevention rather than treatment?
Age is the greatest risk factor for developing chronic disease. The global healthcare system allocates over 90% of its resources to disease care, while only a small fraction of the total budget is dedicated to wellness and disease prevention. We believe this should change and are working to promote an evidence-based, quantitative, data-informed approach to maintaining and improving health. Our products and services help catch disease early and identify actionable insights to maintain optimal health.
Our platform is ideally suited for clinics, practices and health professionals in functional medicine, integrative medicine, and concierge medicine, as well as government programs aimed at optimizing healthy longevity.
How is this different from current practices?
Because some of the technologies we use are newer and more costly, they have not yet been extensively integrated into clinical practice. However, all have been validated in a clinical setting. For example, our omics suite within Orion uses proteomics and metabolomics testing to look for signatures that are associated with metabolic and cardiovascular disease. While these technologies have not yet achieved mainstream adoption for diagnostic purposes, numerous studies indicate that they possess significant pre-diagnostic potential and can forecast the likelihood of disease onset and progression. Further, the volume of generated data is far too extensive for a human to process, compile, and comprehensively analyze to identify relevant patterns. Our proprietary algorithms are designed to optimally leverage this new abundance of information.
