MATHEMATICAL DECODING OF THE CORRELATION BETWEEN DIFFERENT ORGANS' ACTIVITIES: A REVIEW
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F25%3A50022589" target="_blank" >RIV/62690094:18450/25:50022589 - isvavai.cz</a>
Alternative codes found
RIV/60076658:12310/25:43910741
Result on the web
<a href="https://www.worldscientific.com/doi/10.1142/S0218348X25300120" target="_blank" >https://www.worldscientific.com/doi/10.1142/S0218348X25300120</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X25300120" target="_blank" >10.1142/S0218348X25300120</a>
Alternative languages
Result language
angličtina
Original language name
MATHEMATICAL DECODING OF THE CORRELATION BETWEEN DIFFERENT ORGANS' ACTIVITIES: A REVIEW
Original language description
Understanding the correlation between different organ activities is essential for advancing knowledge in physiology, medicine, and bioengineering. While existing literature often focuses on individual organs, a significant gap remains in synthesizing the diverse mathematical methodologies used to decode complex multi-organ relationships. This review addresses that gap by providing a comprehensive analysis of advanced mathematical tools - including time series analysis, signal processing, entropy measures, fractal theory, network modeling, and machine learning (ML) - that have been applied to characterize dynamic inter-organ communication. We discuss how these methods reveal nonlinear, causal, and scale-invariant relationships among organ systems and how they are used to predict pathological conditions, monitor health status, and inform personalized interventions. By bridging theoretical models with clinical applications, this review offers a unified framework for understanding systemic physiology and supports future advancements in multi-organ diagnostics and therapies.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Fractals
ISSN
0218-348X
e-ISSN
1793-6543
Volume of the periodical
33
Issue of the periodical within the volume
09
Country of publishing house
SG - SINGAPORE
Number of pages
14
Pages from-to
"Article Number: 2530012"
UT code for WoS article
001554144900001
EID of the result in the Scopus database
2-s2.0-105013754301