Longevity Biomarkers

iPhone app with science-based tools for understanding longevity-related health biomarkers and biological age. Informational only. Not medical advice.

[Longevity Biomarkers @LongevityBlue]

We’re pleased to share that Longevity Biomarkers LLC has been pre-selected as a relevant venture for the World Economic Forum / UpLink Innovation Challenge Series.

Our app turns wearable, home-test and laboratory biomarker data into practical healthspan intelligence, helping people better understand their health and take informed actions toward longer, healthier lives.

Grateful to UpLink / World Economic Forum, Manulife and the challenge ecosystem for supporting early-stage ventures working on the future of longevity.

#Longevity #Healthspan #PreventiveHealth #HealthyAging #HealthTech #Biomarkers

[Longevity Biomarkers @LongevityBlue]

Balance is one of the simplest and most overlooked markers of healthy aging. It supports mobility, stability, and independence, and lowers the risk of falls and injury. Because it often declines gradually, it may go unnoticed until it becomes a real problem.

It may also reflect broader health. In one study, adults who could not hold a 10-second one-leg stance had a significantly higher risk of all-cause mortality. More recent research suggests that one-leg balance declines with age faster than gait speed or knee strength, making it a useful marker of neuromuscular aging.

A simple one-legged balance test can be done at home, and details are available in the Longevity Biomarkers iPhone app, where you can also find interpretation of your result for your age and gender.

If you’d like to try it in the app, you can use code BALANCE for 1 month of free Premium access. Redeem in the app under Settings > Manage Subscription > Redeem Code.

References:
• Araujo et al. — 10-second one-leg stance performance predicts survival and all-cause mortality risk in middle-aged and older adults.
• Rezaei et al. — one-leg balance declines with age faster than gait or strength, supporting its value as a marker of neuromuscular aging.
• World Health Organization. Falls. Fact sheet. Published April 26, 2021. Accessed March 8, 2026.

For educational purposes only. Not medical advice or diagnosis.

[Longevity Biomarkers @LongevityBlue]

Cardio Recovery (Heart Rate Recovery, HRR) reflects how quickly heart rate declines after exercise, making it a simple yet effective marker of autonomic recovery. It may also be one of the most overlooked cardiovascular signals.

Multiple studies have associated slower recovery with increased risk of sudden cardiac death and arrhythmic outcomes.

Cardio Recovery will be added soon alongside the other biomarkers in the Longevity Biomarkers app, automatically synced for Apple Watch users.

For educational purposes only. Not medical advice or diagnosis.

• Hernesniemi et al. — fitness, heart rate recovery and SCD risk
• Kurl et al. — heart rate recovery and sudden cardiac death (general population)
• Guazzi et al. — heart rate recovery predicts sudden cardiac death in heart failure
• Masri et al. — exercise variables and arrhythmic/SCD-related outcomes

Heart Rate Recovery is a physiological signal and should not be used as a diagnostic tool.

It is typically measured as the drop in heart rate during the first minute after stopping exercise. This can be estimated automatically by Apple Watch, or measured manually by checking heart rate exactly one minute after stopping strenuous activity.

Individuals with known heart conditions or poor overall health should consult a physician before attempting this test. Interpretation always depends on overall health, fitness level, and medical context.

[Longevity Biomarkers @LongevityBlue]

@itshappening272 @balajis Not yet, sorry. In a year or so

[Longevity Biomarkers @LongevityBlue]

@shalabh_tanwar @balajis Hey there! 🙌 Thanks for your interest. VO2Max is now known as Cardio Fitness in Apple's lingo. Syncs seamlessly with our app in real-time for Apple Watch users 🏃‍♂️

[Balaji @balajis]

HOW AGING BIOMARKERS WORK

An aging biomarker is something that predicts how old you are on a molecular level.

You calibrate it by looking at the levels of markers in healthy people, and also those who are getting up in age. As people pass away, you calibrate the measure. For example, a person with a measure of X1 on marker Y passed away in N years, but a person with measure X2 lived more like N+5 years. Yes, it's a bit morbid, but it's just like actuarial tables[0].

Aging biomarkers aren't perfect. There's always the possibility of a biological Goodhart's law[1]. In that case you'd find a marker, and try to influence it directly by working out or eating right or taking supplements... but then subsequently realize that improving the marker doesn't causally improve your biological age.

Still, if you have enough different markers, it's probably difficult to move them all in the right direction without actually improving your health. At least, that's the theory.

The reason we should see more apps like this — like the next iteration of Fitbit or Apple Watch — is that your most important daily dashboard shouldn't be the news, your email, or even your business metrics, but your personal health metrics.

We're still underinvested socially and technologically in continuous diagnostics. We can and should do much more of this. Here's the app in the screenshot[2], and a recent review of longevity biomarkers[3].

[0]: https://t.co/iQuRmTSQqK
[1]: https://t.co/iTXHNw8roh
[2]: https://t.co/KBCjwSNtdb
[3]: https://t.co/IcDmglPojc

[Balaji @balajis]

I don't know if this is the right app, but this is the right concept.