LEADER 04044nam 22006135 450 001 9910878066903321 005 20240902091744.0 010 $a9783031600449$b(electronic bk.) 010 $z9783031600432 024 7 $a10.1007/978-3-031-60044-9 035 $a(MiAaPQ)EBC31570064 035 $a(Au-PeEL)EBL31570064 035 $a(CKB)33469047900041 035 $a(DE-He213)978-3-031-60044-9 035 $a(EXLCZ)9933469047900041 100 $a20240728d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIn Silico Clinical Trials for Cardiovascular Disease $eA Finite Element and Machine Learning Approach /$fedited by Nenad Filipovi? 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (431 pages) 311 08$aPrint version: Filipovi?, Nenad In Silico Clinical Trials for Cardiovascular Disease Cham : Springer,c2024 9783031600432 327 $aChapter 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. 330 $aThis 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. 606 $aCardiovascular system 606 $aPhysiology 606 $aMachine learning 606 $aArtificial intelligence 606 $aDrug delivery systems 606 $aCardiovascular Physiology 606 $aMachine Learning 606 $aArtificial Intelligence 606 $aDrug Delivery 615 0$aCardiovascular system. 615 0$aPhysiology. 615 0$aMachine learning. 615 0$aArtificial intelligence. 615 0$aDrug delivery systems. 615 14$aCardiovascular Physiology. 615 24$aMachine Learning. 615 24$aArtificial Intelligence. 615 24$aDrug Delivery. 676 $a573.1 700 $aFilipovi?$b Nenad$0505536 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910878066903321 996 $aIn Silico Clinical Trials for Cardiovascular Disease$94196835 997 $aUNINA