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Updated: Oct 30, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Asynchronous, contagious and digital aging.

Thomas A Rando^1,2,3, Tony Wyss-Coray^1,3,4

¹Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.

|July 5, 2021

Summary

This summary is machine-generated.

Aging varies between individuals and within organisms, challenging traditional views. New research suggests cellular aging, termed "digital aging," may underlie these complex, non-uniform aging processes.

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Quantifying Yeast Chronological Life Span by Outgrowth of Aged Cells

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Published on: May 6, 2009

Area of Science:

Gerontology
Cellular Biology
Systems Biology

Background:

Traditional aging research focuses on organ dysfunction.
Emerging data reveal significant heterogeneity in aging rates within and between individuals.
Existing models struggle to explain asynchronous aging and aging mosaicism.

Purpose of the Study:

To explore aging inhomogeneities from a cellular perspective.
To introduce the concept of "digital aging" as a quantal cellular process.
To investigate how cellular changes drive organismal aging.

Main Methods:

Review of epidemiological, systems biology, and single-cell studies.
Conceptual framework integrating genetic, environmental, and stochastic factors.
Analysis of cellular senescence and its role in aging.

Main Results:

Aging is characterized by significant heterogeneity at multiple levels.
Cellular aging can be viewed as a "digital aging" process.
Specific tissues may act as drivers of organismal aging.

Conclusions:

Cellular aging is non-uniform and contributes to organismal aging complexity.
Digital aging offers a new perspective on cellular changes during aging.
Advanced single-cell and systems-level methodologies are crucial for future aging research.