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Science · Publications

Peer-reviewed publications and external research.

The methodology described in the whitebook is grounded in six peer-reviewed papers (below). Beyond our own work, we curate a review of external research linking locomotor activity, lifestyle, biological age, and mortality.

↓ Our publications ↓ Related research
Our publications
Six peer-reviewed papers, 2018–2025
P5 · 2025
Featured
Independent third-party validation

Digital biomarkers of ageing for monitoring physiological systems in community-dwelling adults

J. K. Lu, W. Wang, M. D. A. Mahadzir, J. R. Poganik, M. Moqri, C. Herzog, E. Verdin, V. Sebastiano, V. N. Gladyshev, A. B. Maier; Biomarkers of Aging Consortium
The Lancet Healthy Longevity, Vol. 6, Issue 6

External, recent (2025) third-party validation that the locomotor-activity input class is the right one for population-scale monitoring. Strongest single citation for credibility with regulated counterparties.

DOI: 10.1016/j.lanhl.2025.100725 Read article →
Cite
J. K. Lu, W. Wang, M. D. A. Mahadzir, J. R. Poganik, M. Moqri, C. Herzog, E. Verdin, V. Sebastiano, V. N. Gladyshev, A. B. Maier; Biomarkers of Aging Consortium. (2025). Digital biomarkers of ageing for monitoring physiological systems in community-dwelling adults. The Lancet Healthy Longevity, Vol. 6, Issue 6. https://doi.org/10.1016/j.lanhl.2025.100725
P1 · 2018
Methodology

Quantitative characterization of biological age and frailty based on locomotor activity records

Aging (Albany NY), Vol. 10, Issue 10

Foundational paper. Establishes that step-count patterns alone are sufficient input for a quantitative biological-age model — the technical premise of the consumer app.

DOI: 10.18632/aging.101603 Read →
Cite
T. V. Pyrkov, E. Getmantsev, B. Zhurov, K. Avchaciov, M. Pyatnitskiy, L. Menshikov, K. Khodova, A. V. Gudkov, P. O. Fedichev. (2018). Quantitative characterization of biological age and frailty based on locomotor activity records. Aging (Albany NY), Vol. 10, Issue 10. https://doi.org/10.18632/aging.101603
P2 · 2018
Strategic framing

Hacking aging: a strategy to use big data from medical studies to extend human life

Frontiers in Genetics, Vol. 9, Sec. Genetics of Aging

Strategic perspective. Names retirement planning and life insurance as initial commercial applications for the BAA approach — the framing PensionPulse executes on.

DOI: 10.3389/fgene.2018.00483 Read →
Cite
P. O. Fedichev. (2018). Hacking aging: a strategy to use big data from medical studies to extend human life. Frontiers in Genetics, Vol. 9, Sec. Genetics of Aging. https://doi.org/10.3389/fgene.2018.00483
P3 · 2019
Methodology comparison

Biological age is a universal marker of aging, stress, and frailty

bioRxiv preprint; book chapter in Biomarkers of Human Aging, Springer

Methodologically defends the choice of risk-based biological-age targets over chronological-age regression. The BAA reading is a meaningful health and financial-risk signal.

DOI: 10.1101/578245 Read →
Cite
T. V. Pyrkov, P. O. Fedichev. (2019). Biological age is a universal marker of aging, stress, and frailty. bioRxiv preprint; book chapter in Biomarkers of Human Aging, Springer. https://doi.org/10.1101/578245
P4 · 2021
Technical core

Deep longitudinal phenotyping of wearable sensor data reveals independent markers of longevity, stress, and resilience

Aging (Albany NY), Vol. 13, Issue 6

The technical engine. Demonstrates the smartphone-only data path delivers actuarially meaningful signal. Introduces the resilience metric supporting the aging-speed framing.

DOI: 10.18632/aging.202816 Read →
Cite
T. V. Pyrkov, I. S. Sokolov, P. O. Fedichev. (2021). Deep longitudinal phenotyping of wearable sensor data reveals independent markers of longevity, stress, and resilience. Aging (Albany NY), Vol. 13, Issue 6. https://doi.org/10.18632/aging.202816
P6 · 2019
Educational

Assessment of aging parameters using wearable electronics

Recorded lecture, June 2019

Educational asset for non-technical audiences. Useful for advisor channel onboarding and pension-provider audiences.

Read →
Cite
P. O. Fedichev. (2019). Assessment of aging parameters using wearable electronics. Recorded lecture, June 2019.

Want the methodology in plain language?

The methodology page explains how biological age and aging speed are computed without the technical depth of the papers themselves.

Methodology