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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Application of a Relativistic Space-Fluid Dynamical Grand State Equation to Personalized Human Blood Flow: A Case Study with Subject "Tony"

Authors: Sanchez Ramirez, Gil;

Application of a Relativistic Space-Fluid Dynamical Grand State Equation to Personalized Human Blood Flow: A Case Study with Subject "Tony"

Abstract

This research explores the novel application of a Relativistic Space-Fluid Dynamical Grand State Equation to the modeling of human hemodynamics. By bridging the gap between advanced fluid dynamics and personalized medicine, this study presents a specialized case analysis centered on a single subject, "Tony." The work demonstrates how relativistic fluid principles can be adapted to describe the complexities of blood flow within a biological system, providing a unique framework for understanding personalized cardiovascular mechanics. This paper aims to contribute to the evolving field of mathematical biology by offering a high-precision dynamical approach to blood flow modeling.

Keywords

Hemodynamics, Personalized Medicine, Relativistic Fluid Dynaics, Mathematical Biology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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