This Research Topic is part of the Clinical Applications of Physiome Models series (
Volume I).
The ultimate goal of the physiomic research is to integrate biological and physiological information into mathematical models to help understand individual human physiology and to help overcome disease. To date, a variety of physiome models have been presented, but they have primarily focused on reproducing existing experimental results. Clinical use of physiome models has been rather limited. Most of modern medicine is based on population studies without consideration of the individual physiological systems. Ignoring individual functional variations causes errors in medical practice. Thus, appropriate physiome models are required to understand the physiological status of individual patients and to be used for the diagnosis and the management of diseases.
In this Research Topic, we focus on examples of ‘physiome for therapeutics’ useful in clinical medicine, and recent applications in physiological and computational issues related to the clinical use of the physiome. The motivation for this Research Topic is to highlight current and original research in computational modeling targeted at clinical problems and to encourage the application of computational models to clinical cases in diseases. The contributions in this research topic will reveal that modeling can provide a framework for clinical applications of physiomic approaches.
The present Research Topic welcomes review papers or original research articles on the following research fields:
1) Cardiac multi-scale or multi-physics modeling applied to diagnosis or treatment of cardiac diseases: Cell, tissue structure and whole heart function, cardiac calcium and pH regulation, electromechanical coupling, hemodynamics of coronary circulation and related experiments
2) Multi-scale or multi-physical modeling of neurovascular or cerebrospinal fluid (CSF) hemodynamics for clinical application: System modeling of neurovascular or CSF hemodynamics dynamics, computational modeling for neurovascular diseases or CSF disorder
3) Homeostasis and hormonal system models for clinical application: System modeling of metabolism, hormonal regulation, body metabolites control, and organ functions
Topic Editor Eun Bo Shim is the co-founder and CEO of AI Medic Inc. The other Topic Editors declare no competing interests with regard to the Research Topic subject.
This Research Topic is part of the Clinical Applications of Physiome Models series (
Volume I).
The ultimate goal of the physiomic research is to integrate biological and physiological information into mathematical models to help understand individual human physiology and to help overcome disease. To date, a variety of physiome models have been presented, but they have primarily focused on reproducing existing experimental results. Clinical use of physiome models has been rather limited. Most of modern medicine is based on population studies without consideration of the individual physiological systems. Ignoring individual functional variations causes errors in medical practice. Thus, appropriate physiome models are required to understand the physiological status of individual patients and to be used for the diagnosis and the management of diseases.
In this Research Topic, we focus on examples of ‘physiome for therapeutics’ useful in clinical medicine, and recent applications in physiological and computational issues related to the clinical use of the physiome. The motivation for this Research Topic is to highlight current and original research in computational modeling targeted at clinical problems and to encourage the application of computational models to clinical cases in diseases. The contributions in this research topic will reveal that modeling can provide a framework for clinical applications of physiomic approaches.
The present Research Topic welcomes review papers or original research articles on the following research fields:
1) Cardiac multi-scale or multi-physics modeling applied to diagnosis or treatment of cardiac diseases: Cell, tissue structure and whole heart function, cardiac calcium and pH regulation, electromechanical coupling, hemodynamics of coronary circulation and related experiments
2) Multi-scale or multi-physical modeling of neurovascular or cerebrospinal fluid (CSF) hemodynamics for clinical application: System modeling of neurovascular or CSF hemodynamics dynamics, computational modeling for neurovascular diseases or CSF disorder
3) Homeostasis and hormonal system models for clinical application: System modeling of metabolism, hormonal regulation, body metabolites control, and organ functions
Topic Editor Eun Bo Shim is the co-founder and CEO of AI Medic Inc. The other Topic Editors declare no competing interests with regard to the Research Topic subject.
