Systems biology of human aging: A Fibonacci time series model.
Prog Biophys Mol Biol
; 177: 24-33, 2023 01.
Article
in En
| MEDLINE
| ID: mdl-36265693
ABSTRACT
Fractals are everywhere in nature, particularly at the interfaces where matter or energy must be transferred, since they maximize surface area while minimizing energy losses. Temporal fractals have been well studied at micro scales in human biology, but have received comparatively little attention at broader macro scales. In this paper, we describe a fractal time series model of human aging from a systems biology perspective. This model examines how intrinsic aging rates are shaped by entropy and Fibonacci fractal dynamics, with implications for the emergence of key life cycle traits. This proposition is supported by research findings. The finding of an intrinsic aging rate rooted in Fibonacci fractal dynamics represents a new predictive paradigm in evolutionary biology.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Fractals
/
Systems Biology
Type of study:
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Prog Biophys Mol Biol
Year:
2023
Document type:
Article
Publication country:
ENGLAND
/
ESCOCIA
/
GB
/
GREAT BRITAIN
/
INGLATERRA
/
REINO UNIDO
/
SCOTLAND
/
UK
/
UNITED KINGDOM