In a significant stride toward revolutionizing how we understand aging, scientists at the University of Washington School of Medicine have developed an innovative health-assessment instrument known as the Health Octo Tool. This method relies on eight distinct yet interrelated metrics derived from routine medical examinations and laboratory tests to quantify biological age and thereby predict an individual’s risk of disability and mortality with greater accuracy than conventional health assessment models. Published in the May 5 issue of Nature Communications, this groundbreaking research offers a fresh lens on the aging process that transcends traditional disease-focused paradigms.
The longstanding approach to medical evaluation emphasizes the diagnosis and treatment of discrete diseases, a methodology which, while effective in many respects, often overlooks the intricate interplay between comorbidities and their cumulative impact on overall health. Dr. Shabnam Salimi, a physician-scientist and the study’s lead author, argues that this siloed perspective hinders comprehensive understanding of aging as a multidimensional biological phenomenon. The Health Octo Tool, she explains, represents a paradigm shift by encapsulating physiological decline through an “aging-based framework” that integrates systemic organ function and cumulative damage rather than isolated pathologies.
At the heart of the tool lies the concept of “health entropy,” a measurable index that captures the degree of molecular and cellular deterioration accrued over time within the body. This concept derives from thermodynamic principles, where entropy signifies disorder, thereby analogizing the biological decline seen in aging tissues and organ systems. By quantifying health entropy, researchers equate it to an individual’s overall physical resilience and rate of biological aging, providing a biomarker more predictive of functional outcomes than chronological age or singular disease markers.
The research team utilized the extensive dataset from the Baltimore Longitudinal Study on Aging (BLSA), which tracks adults’ health trajectories over decades. From these data, they instituted a metric called the Body Organ Disease Number (BODN), which indexes the extent of organ system involvement across fourteen domains including cardiovascular, respiratory, neurological, and oncological statuses. This multidimensional score operationalizes disease burden in a manner that appreciates not just presence but distribution of dysfunction across organ systems.
Extending the analytical framework, the investigators introduced the Bodily System-Specific Age, which estimates the biological age of individual organ systems based on their unique functional decline patterns. Complementing this, the Bodily-Specific Clock quantifies intrinsic biological aging within each organ system. These refined metrics illuminate an essential finding: organ systems do not age synchronously. Rather, differential aging rates exist within a single individual, highlighting the heterogeneity that traditional models often obscure.
Building on these system-specific insights, the researchers synthesized composite measures— the Body Clock and Body Age—that reflect the aggregate intrinsic aging across the entire organism. Distinct from chronological age, these metrics embody the rate and extent of physiological decline, enabling a more nuanced assessment of an individual’s health trajectory. This comprehensive approach transcends the constraints of disease-centric evaluation, positing aging itself as a quantifiable and targetable biological process.
Recognizing functional decline as a critical element of aging, the study further innovates through the creation of Speed-Body Clock and Speed-Body Age indices. These associate biological aging rates with mobility decline, operationalized through walking speed — a well-established predictor of morbidity and mortality in older adults. Similarly, Disability-Body Clock and Disability Body Age metrics correlate intrinsic aging with cognitive and physical disability risk, thus bridging the gap between biological age and clinical outcomes.
Perhaps most strikingly, the Health Octo Tool reveals the outsized influence of ostensibly minor conditions on long-term aging trajectories. Early-life untreated hypertension, traditionally regarded as a manageable risk factor, emerged as a potent driver of accelerated biological aging. This observation underscores the potential for early intervention to modulate aging pathways and improve lifespan and healthspan, aligning with emerging geroscience goals.
The research team is actively developing a digital platform to operationalize these findings, aiming to provide clinicians and their patients with a user-friendly interface to calculate body and organ-specific ages. The application will allow users to monitor aging metrics longitudinally and evaluate the efficacy of lifestyle adjustments or pharmacological interventions in real time. Such technological integration holds promise for personalized medicine strategies that dynamically respond to an individual’s biological aging profile.
Senior authors Daniel Raftery, professor of anesthesiology and pain medicine at UW, and Luigi Ferrucci, scientific director at the National Institute on Aging, emphasize the transformative potential of this tool. By enabling quantitative tracking of aging processes, the Health Octo Tool may catalyze shifts in clinical practice, research, and public health policy, ultimately fostering interventions that prolong vigor and reduce age-associated disability.
The study was supported by a grant from the National Institutes of Health’s National Institute on Aging, underscoring the importance of federal funding in advancing translational geroscience. Moreover, the Health Octo Tool is currently under provisional patent by Dr. Salimi, with plans to disseminate it digitally to the broader research community, heralding a new era of accessible and data-driven aging assessments.
This work challenges prevailing medical dogmas by modeling aging as a complex, system-wide phenomenon rather than a linear consequence of individual diseases. Its multifaceted metrics offer clinicians and researchers a powerful toolkit to interrogate biological aging, elucidate mechanisms of resilience and decline, and tailor interventions aimed at extending healthy longevity.
As the global population ages, such innovative approaches are critical to addressing the burgeoning burden of chronic disease and disability. By quantifying aging in a clinically meaningful way, the Health Octo Tool lays the groundwork for precision geriatrics that is anticipatory, personalized, and potentially transformative for human healthspan.
Subject of Research: People
Article Title: Health octo tool matches personalized health with rate of aging
News Publication Date: 5-May-2025
Web References:
Nature Communications paper: https://www.nature.com/articles/s41467-025-58819-x
Baltimore Longitudinal Study on Aging: https://www.nia.nih.gov/research/labs/blsa
UW Medicine Healthy Aging & Longevity Research Institute: https://halo.dlmp.uw.edu/
References:
Raftery D, Salimi S, Ferrucci L, et al. Health octo tool matches personalized health with rate of aging. Nature Communications. 2025; https://doi.org/10.1038/s41467-025-58819-x
Image Credits: Danijel Djukovic/Raftery Lab UW Medicine
Keywords: Human health, Older adults, Geriatrics
Tags: aging process researchbiological age assessmentcomorbidities and agingdisability risk predictionhealth entropy measurementHealth Octo toolinnovative health assessment toolsmortality risk assessmentmultidimensional health evaluationpredictive health modelssystemic organ function analysisUniversity of Washington School of Medicine research