Biomarkers, explained simply
A biomarker is a tiny molecular signal your body produces. It is how your biology leaves traces you can measure.
What a biomarker actually is
A biomarker is a molecular signal produced by your cells, tissues, and microbiome. Every process in your body, from how deeply you recover during sleep to how your system handles stress and how well your cells use sugar, leaves traces you can detect in blood, urine, or saliva. Those traces are biomarkers.
Most people hear the word and think of cholesterol or blood glucose. Those are biomarkers, yes, but they are only the most familiar ones. The reality is much wider. Amino acids, fatty acids, hormones, vitamins, inflammation signals, oxidative stress signatures, energy metabolism intermediates, and thousands of other molecules all circulate in a single blood drop and all tell a part of the story.
A biomarker on its own is just a number. What makes it meaningful is context: how it compares to a healthy reference population, how it interacts with other biomarkers, and how it changes over time. That is the job of your virtual twin.
What BioTwin reads
From a single finger prick, BioTwin reads more than 30,000 biomarker signals. Those signals are organized into 7 functional areas: biological age, sleep quality, stress response, nutrition, weight and metabolism, hydration, and body composition. Each of those 7 scores is not a single measurement. It is the aggregation of hundreds of specific biomarkers that together describe how that part of your biology is performing.
That is why a BioTwin score is different from a lab value. A lab value tells you whether one number is in or out of range. A BioTwin score tells you how an entire functional system is doing, based on all the molecular evidence available.
Why depth matters
A standard blood test ordered by a clinician typically reports 20 to 30 biomarkers. It is useful for flagging acute problems, but it is far too thin to describe how your biology is actually running day to day. BioTwin reads thousands of biomarkers from the same drop of blood. That depth is what turns a yes-or-no blood test into a living model of your biology, equivalent to external lab tests beyond $3,000.
Depth is also what makes your twin improve over time. Every new analysis the research team adds is applied retroactively to your existing sample, so the picture keeps sharpening without a new kit.