Titlebook: In Silico Clinical Trials for Cardiovascular Disease; A Finite Element and Nenad Filipovi? Book 2024 The Editor(s) (if applicable) and The

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Use Case: AI-Based Surrogate Muscle Models for Cardiac Cycle Simulations of the Left Ventricle,model. The Huxley model, known for its ability to simulate nonuniform and unstable contractions, has been hindered by its substantial computational requirements. To overcome this limitation, we present two distinct yet complementary approaches: data-driven and physics-informed surrogate models..In t

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Use Case: Application of Deep Learning Methods in Diagnosis of Lung Diseases from Medical Imaging Dmore than 500 million people have chronic respiratory diseases and that they account for 7% of all deaths. The use of imaging tests is crucial for the accurate diagnosis, management, and treatment of various chest diseases as it gives clear visualization to any changes that occurred due to a lung di

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se studies.Covers system biology modeling for drug optimizat.This book covers in silico clinical trials of cardiovascular disease using a finite element and machine learning approach. Part I describes the fundamentals as well as the latest developments in the field: finite element modeling, system b

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Nenad Filipovi?ake sound clinical decisions in speci?c situations. We rely heavily on tables, diagrams, graphs, photographs, and other ?gures to convey this information. Subjects are addressed in a large number of chapters that each focus on a relatively narrow topic. In some cases, there is overlap between the in