04089nam a22005535i 4500 978-3-031-60044-9 DE-He213 20251030112655.0 cr nn 008mamaa 240728s2024 sz | s |||| 0|eng d 9783031600449 978-3-031-60044-9 10.1007/978-3-031-60044-9 doi QP101-110 PSA bicssc SCI056000 bisacsh PSA thema In Silico Clinical Trials for Cardiovascular Disease [electronic resource] : A Finite Element and Machine Learning Approach / edited by Nenad Filipović. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. VIII, 426 p. 143 illus., 123 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 1 - Heart physiology and heart diseases, Djordje Jakovljevic, Nenad Filipovic -- Chapter 2 - Finite element modeling, Nenad Filipovic -- Chapter 3 - System biology modeling for drug optimization, Marko Zivanovic, Nenad Filipovic -- Chapter 4 - Artificial intelligence approach for medical image processing, Tijana Sustersic, Nenad Filipovic.-Chapter 5 - Pharmacokinetic and AI modeling, Lazar Velicki, Nenad Filipovic -- Chapter 6 - Molecular micro modeling of heart muscle, Momcilo Prodanovic, Nenad Filipovic -- Chapter 7 - Use case: Risk stratification of cardiomyopathy disease, Lazar Dasic, Nenad Filipovic -- Chapter 8 - Use case: Surrogate AI model for left ventricle modeling, Bogdan Milicevic, Nenad Filipovic -- Chapter 9 - Use case: Carotid artery plaque modeling, Andjela Blagojevic, Nenad Filipovic -- Chapter 10 - Use case: Stent deployment for coronary artery, Miljan Milosevic, Nenad Filipovic -- Chapter 11 - Use case: Balloon deployment for peripheral arteries. Aleksandra Vulovic, Nenad Filipovic -- Chapter 12 - Use case: Aorta stenosis modeling, Smiljana Tomasevic, Nenad Filipovic -- Chapter 13 - Use case: Stent biodegradation modeling, Dalibor Nikolic, Nenad Filipovic. 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 biology modeling for drug optimization, artificial intelligence approach for medical image processing, as well as pharmacokinetic and AI modeling. Part II provides use cases to describe how in silico clinical trials of cardiovascular disease are applied to specific cardiovascular diseases: carotid artery plaque modeling, aorta stenosis modeling, stent biodegradation modeling, surrogate AI model for left ventricle modeling, and more. This book is geared toward upper-level undergraduate and graduate students as well as for researchers in the domains of bioengineering, biomechanics, biomedical engineering and medicine. Cardiovascular system. 75583 Physiology. 72764 Machine learning. 55059 Artificial intelligence. 58441 Drug delivery systems. Cardiovascular Physiology. 75584 Machine Learning. 55059 Artificial Intelligence. 58441 Drug Delivery. 69429 Filipović, Nenad. editor. edt http://id.loc.gov/vocabulary/relators/edt 70252 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031600432 Printed edition: 9783031600456 Printed edition: 9783031600463 https://doi.org/10.1007/978-3-031-60044-9 ZDB-2-SBL ZDB-2-SXB 61993 61993