The Science behind Numenor

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Prevention is better than cure

Meet Susan

An avid traveller and exhibitionist

Meet Susan

 An avid traveller and food connisseur
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Meet Susan

An avid traveller and exhibitionist
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... and Lucas

A full-time personal trainer and triathlete

... and Lucas

A full-time personal trainer and triathlete
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Area under curve

Exposure

Prevention

In the hypothetical scenario above, Susan and Lucas have the same blood test at age 58 and receive the same result. Yet their risk of disease is not the same. Why? Because they differ in the area under the curve for that particular biomarker. But what does that mean?
In the hypothetical scenario above, Susan and Lucas have the same blood test at age 58 and receive the same result. Yet their risk of disease is not the same. Why? Because they differ in the area under the curve for that particular biomarker. But what does that mean?
The area under the curve reflects the cumulative load of the biomarker or the duration of exposure to high levels of it. Someone who has longer exposure to high blood pressure for example, will have a higher risk of heart disease than someone with a shorter duration of exposure even though their measurements may be similar at a single point in time.
The area under the curve reflects the cumulative load of the biomarker or the duration of exposure to high levels of it. Someone who has longer exposure to high blood pressure for example, will have a higher risk of heart disease than someone with a shorter duration of exposure even though their measurements may be similar at a single point in time.
This is why early detection and intervention is extremely important in most aspects of health. We believe traditional healthcare doesn’t take the effect of time into consideration when assessing risk of disease. This is why we advocate for a proactive, early detection and treatment model of healthcare. We want to prevent the disease before it happens, not treat it after.
This is why early detection and intervention is extremely important in most aspects of health. We believe traditional healthcare doesn’t take the effect of time into consideration when assessing risk of disease. This is why we advocate for a proactive, early detection and treatment model of healthcare. We want to prevent the disease before it happens, not treat it after.
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EVIDENCE-BASED AND 
DATA-BACKED

We bring years of experience in clinical practice, medical research and healthcare technology to curate the most accurate health tests and treatments for our members. When designing our approach, we started from the ground up, with the following criteria:

- Evidence-based: we rely on high quality evidence from multiple human clinical trials indicating that a specific treatment is safe and well-tolerated. 

- Data-backed: we measure the impact of everything we do to determine effectiveness and safety of our interventions on our members.

Sustainable change

We want to make positive changes to the health of our members, but we want that change to last. We focus on one area of health at a time to make sure we can create sustainable and real changes to the health of our members.

N=1
improvement

We believe that individuals are not average numbers. When it comes to longevity and prevention treatments, what works on average doesn’t necessarily work for everyone and vice versa. This is why we ultimately rely on measuring the impact of our interventions on the individual member to ensure safety and effectiveness.
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