The Longevity program, explained
Longevity is the TwinMe program that follows how fast your body is aging, as estimated from your biomarkers, and where your trajectory is heading.
Biological age, not chronological age
Chronological age is the calendar. It tells you how many times the earth has circled the sun since you were born. It says nothing about what is actually happening inside your cells. Biological age is an estimate built from your biomarkers: an attempt to express how old your body appears to be functioning. It can sit years ahead of the calendar, or years behind it, and like any estimate it depends on the model that produced it.
The Longevity program combines biomarkers linked to mitochondrial function, oxidative stress, inflammation and metabolic flexibility with height, weight, age, gender, questionnaire answers and relevant connected readings. All are biomarkers in the same lists. Your twin then reads your profile against the expected profile for someone of your chronological age and sex. Some people appear to age slower than the calendar, some faster. The program shows you which side your estimate falls on and, more usefully, which way it moves over time.
What the program shows you
The program shows you two things. First, an estimate of your biological age, built from your biomarkers and set against your chronological age, so you can see the gap at a glance. Second, your trajectory over time, which becomes visible as soon as you have sent several kits. A single point is a snapshot, several points become a direction.
Our goal is to add lifestyle simulations: to let you explore what-if scenarios, such as the estimated effect of small changes in sleep, nutrition, exercise or stress management on your trajectory. This is a goal, not a current feature. What the program already does is follow your trajectory from one sample to the next, so you can compare what you changed with how your biology moved, instead of guessing.
Who it is for
The Longevity program is for anyone who wants to understand and influence their own longevity, rooted in science, not in supplements or hype. It is particularly useful for people in their 30s and 40s who want a real baseline before any intervention. You cannot measure progress without a starting point, and the earlier you establish that starting point, the more meaningful the trajectory becomes.
It is also valuable for people already invested in longevity practices who want to check whether what they are doing shows up at the biomarker level, not just at the habit tracker level. Perception and biology do not always agree. The Longevity program gives you the biology side of the conversation.
Scientific sources
These peer-reviewed studies describe the biomarkers listed here and their relationship with biology, body measurements and daily habits. They provide scientific context for the biomarkers; they do not establish the performance of a TwinMe Bio-Signature.
- Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age?Levine ME et al. · The journals of gerontology. Series A, Biological sciences and medical sciences · 2013
- A Novel Metabolomic Aging Clock Predicting Health Outcomes and Its Genetic and Modifiable Factors.Jia X et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
- Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis.Kodama S et al. · JAMA · 2009
- Heart rate variability and first cardiovascular event in populations without known cardiovascular disease: meta-analysis and dose-response meta-regression.Hillebrand S et al. · Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2013
- Perceived age as clinically useful biomarker of ageing: cohort study.Christensen K et al. · BMJ (Clinical research ed.) · 2009
- Reaction time and mortality from the major causes of death: the NHANES-III study.Hagger-Johnson G et al. · PloS one · 2014
