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Precision medicine in human heart modeling : Perspectives, challenges, and opportunities
M Peirlinck1, F Sahli Costabal2, J Yao3
1Department of Mechanical Engineering, Stanford University, Stanford, California, USA.
Biomechanics and Modeling in Mechanobiology
|February 13, 2021
Summary
Precision medicine revolutionizes cardiovascular care by personalizing treatments. Human heart modeling offers new opportunities for diagnosis, device design, and treatment planning, improving patient outcomes.
Area of Science:
- Cardiovascular Research
- Biomedical Engineering
- Computational Biology
Background:
- Precision medicine customizes healthcare based on individual variability.
- In cardiovascular health, precision medicine promises improved quality of life and reduced mortality.
- The role of human heart modeling in precision medicine remains underexplored.
Purpose of the Study:
- To explore challenges and opportunities for personalized human heart simulations.
- To review the history and recent advancements in human heart modeling.
- To highlight clinical applications and future directions for heart modeling in precision medicine.
Main Methods:
- Reviewing the evolution of anatomic, physical, and constitutive human heart models over three decades.
- Illustrating recent advancements in electrophysiology, cardiac mechanics, and fluid dynamics modeling.
- Discussing machine learning approaches for creating personalized models from population-based libraries.
Main Results:
- Human heart modeling has advanced significantly in electrophysiology, mechanics, and fluid dynamics.
- Clinically relevant applications include drug development, heart failure management, and device innovation.
- Personalized models can be created by adapting population-based models using machine learning.
Conclusions:
- Personalized human heart simulations are crucial for advancing precision cardiovascular medicine.
- Machine learning facilitates the creation of personalized models from existing data.
- This approach will aid clinical decision-making, treatment planning, and device design.
Keywords:
Cardiac mechanicsDigital twinElectrophysiologyFinite element simulationFluid dynamicsMachine learningPrecision medicine
