» Articles » PMID: 16174871

A Strategy for Integrative Computational Physiology

Overview
Specialty Physiology
Date 2005 Sep 22
PMID 16174871
Citations 35
Authors
Affiliations
Soon will be listed here.
Abstract

Organ function (the heart beat for example) can only be understood through knowledge of molecular and cellular processes within the constraints of structure-function relations at the tissue level. A quantitative modeling framework that can deal with these multiscale issues is described here under the banner of the International Union of Physiological Sciences Physiome Project.

Citing Articles

Computational modelling of cardiovascular pathophysiology to risk stratify commercial spaceflight.

Morris P, Anderton R, Marshall-Goebel K, Britton J, Lee S, Smith N Nat Rev Cardiol. 2024; 21(10):667-681.

PMID: 39030270 DOI: 10.1038/s41569-024-01047-5.


Geometric framework to predict structure from function in neural networks.

Biswas T, Fitzgerald J Phys Rev Res. 2023; 4(2):023255.

PMID: 37635906 PMC: 10456994. DOI: 10.1103/physrevresearch.4.023255.


Physiology and technology for the ICU in vivo.

Ince C Crit Care. 2019; 23(Suppl 1):126.

PMID: 31200744 PMC: 6570625. DOI: 10.1186/s13054-019-2416-7.


Imaging technologies for cardiac fiber and heart failure: a review.

Watson S, Dormer J, Fei B Heart Fail Rev. 2018; 23(2):273-289.

PMID: 29500602 PMC: 6121700. DOI: 10.1007/s10741-018-9684-1.


Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them.

Chase J, Preiser J, Dickson J, Pironet A, Chiew Y, Pretty C Biomed Eng Online. 2018; 17(1):24.

PMID: 29463246 PMC: 5819676. DOI: 10.1186/s12938-018-0455-y.