000 04089nam a22005535i 4500
001 978-3-031-60044-9
003 DE-He213
005 20251030112655.0
007 cr nn 008mamaa
008 240728s2024 sz | s |||| 0|eng d
020 _a9783031600449
_9978-3-031-60044-9
024 7 _a10.1007/978-3-031-60044-9
_2doi
050 4 _aQP101-110
072 7 _aPSA
_2bicssc
072 7 _aSCI056000
_2bisacsh
072 7 _aPSA
_2thema
245 1 0 _aIn Silico Clinical Trials for Cardiovascular Disease
_h[electronic resource] :
_bA Finite Element and Machine Learning Approach /
_cedited by Nenad Filipović.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aVIII, 426 p. 143 illus., 123 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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.
650 0 _aCardiovascular system.
_975583
650 0 _aPhysiology.
_972764
650 0 _aMachine learning.
_955059
650 0 _aArtificial intelligence.
_958441
650 0 _aDrug delivery systems.
650 1 4 _aCardiovascular Physiology.
_975584
650 2 4 _aMachine Learning.
_955059
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aDrug Delivery.
_969429
700 1 _aFilipović, Nenad.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_970252
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031600432
776 0 8 _iPrinted edition:
_z9783031600456
776 0 8 _iPrinted edition:
_z9783031600463
856 4 0 _uhttps://doi.org/10.1007/978-3-031-60044-9
912 _aZDB-2-SBL
912 _aZDB-2-SXB
999 _c61993
_d61993