<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13(4)</volume><submitter>Blum C</submitter><funding>RWTH Aachen University</funding><pubmed_abstract>&lt;h4>Purpose&lt;/h4>Thrombosis ranks among the major complications in blood-carrying medical devices and a better understanding to influence the design related contribution to thrombosis is desirable. Over the past years many computational models of thrombosis have been developed. However, numerically cheap models able to predict localized thrombus risk in complex geometries are still lacking. The aim of the study was to develop and test a computationally efficient model for thrombus risk prediction in rotary blood pumps.&lt;h4>Methods&lt;/h4>We used a two-stage approach to calculate thrombus risk. The first stage involves the computation of velocity and pressure fields by computational fluid dynamic simulations. At the second stage, platelet activation by mechanical and chemical stimuli was determi</pubmed_abstract><journal>Cardiovascular engineering and technology</journal><pagination>638-649</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9499893</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>An Accelerated Thrombosis Model for Computational Fluid Dynamics Simulations in Rotary Blood Pumps.</pubmed_title><pmcid>PMC9499893</pmcid><pubmed_authors>Groß-Hardt S</pubmed_authors><pubmed_authors>Steinseifer U</pubmed_authors><pubmed_authors>Neidlin M</pubmed_authors><pubmed_authors>Blum C</pubmed_authors></additional><is_claimable>false</is_claimable><name>An Accelerated Thrombosis Model for Computational Fluid Dynamics Simulations in Rotary Blood Pumps.</name><description>&lt;h4>Purpose&lt;/h4>Thrombosis ranks among the major complications in blood-carrying medical devices and a better understanding to influence the design related contribution to thrombosis is desirable. Over the past years many computational models of thrombosis have been developed. However, numerically cheap models able to predict localized thrombus risk in complex geometries are still lacking. The aim of the study was to develop and test a computationally efficient model for thrombus risk prediction in rotary blood pumps.&lt;h4>Methods&lt;/h4>We used a two-stage approach to calculate thrombus risk. The first stage involves the computation of velocity and pressure fields by computational fluid dynamic simulations. At the second stage, platelet activation by mechanical and chemical stimuli was determi</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Aug</publication><modification>2025-04-05T15:42:03.472Z</modification><creation>2025-04-05T15:42:03.472Z</creation></dates><accession>S-EPMC9499893</accession><cross_references><pubmed>35031981</pubmed><doi>10.1007/s13239-021-00606-y</doi></cross_references></HashMap>