{"id":15065,"date":"2024-01-18T20:17:55","date_gmt":"2024-01-18T19:17:55","guid":{"rendered":"https:\/\/sano.science\/?post_type=seminars&#038;p=15065"},"modified":"2024-01-25T19:33:58","modified_gmt":"2024-01-25T18:33:58","slug":"122-biodynamo-rapid-medical-insights-through-agent-based-simulations","status":"publish","type":"seminars","link":"https:\/\/sano.science\/seminars\/122-biodynamo-rapid-medical-insights-through-agent-based-simulations\/","title":{"rendered":"122. BioDynaMo: Rapid Medical Insights through Agent-Based Simulations"},"content":{"rendered":"\n<h2 class=\"wp-block-heading eplus-wrapper\">Abstract<\/h2>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">Agent-based modeling plays an essential role in gaining insights into biology, medicine, and many other fields. However, many existing agent-based simulation platforms are not suitable for large-scale studies due to the low performance of the underlying simulation engines. To overcome this limitation, we developed BioDynaMo &#8211; a modular and highly efficient C++ simulation platform for agent-based modeling.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">To this date, BioDynaMo has been used to model cancer progression, radiation-induced lung fibrosis, retinal development, spread of infectious diseases, biofilms, lamination of the cerebral cortex and much more. BioDynaMo&#8217;s ability to simulate billions of agents was a crucial milestone for simulating large tumor volumes of up to 400 mm3.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\">In this seminar, we give a short introduction into the agent-based modeling approach, present our work to reduce the simulation runtime, provide an overview of BioDynaMo&#8217;s features to accelerate simulation development, and present a comprehensive cancer model accounting for vascular tumor growth and treatment with Trastuzumab and Doxorubicin.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\">About the authors<\/h2>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\"><strong>Lukas Breitwieser<br><\/strong>Lukas is the principal software engineer of the agent-based simulation platform BioDynaMo. Since the project was established in 2015, he has been involved in all major platform developments with a focus on the scalable and modular simulation engine. Lukas holds a Master&#8217;s degree in Software Development and Business Management from Graz University of Technology and is pursuing a PhD in Computer Science at ETH Zurich. His research interests include high-performance, parallel, distributed, and heterogeneous computing.<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\"eplus-wrapper wp-block-paragraph\"><strong>Tobias Duswald<br><\/strong>Tobias Duswald is a dedicated physicist with a master&#8217;s degree in particle physics from the Technical University of Munich (TUM). Currently pursuing his PhD at TUM and CERN, he focuses on stochastic modeling. Additionally, Tobias actively contributes to the development of BioDynaMo, a groundbreaking project that merges physics and biology to simulate complex biological systems. With his expertise and enthusiasm, Tobias aims to advance scientific knowledge and make meaningful contributions to the field.<\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large eplus-wrapper\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"536\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/01\/122_biodynamo_li-1024x536.jpg\" alt=\"\" class=\"wp-image-15210\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/01\/122_biodynamo_li-1024x536.jpg 1024w, https:\/\/sano.science\/wp-content\/uploads\/2024\/01\/122_biodynamo_li-300x157.jpg 300w, https:\/\/sano.science\/wp-content\/uploads\/2024\/01\/122_biodynamo_li-768x402.jpg 768w, https:\/\/sano.science\/wp-content\/uploads\/2024\/01\/122_biodynamo_li.jpg 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Lukas Breitwieser and Tobias Duswald \u2013 Information Technology Department (IT), CERN, Geneve, Switzerland<\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-15065","seminars","type-seminars","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.7 (Yoast SEO v27.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>122. BioDynaMo: Rapid Medical Insights through Agent-Based Simulations - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/seminars\/122-biodynamo-rapid-medical-insights-through-agent-based-simulations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"122. BioDynaMo: Rapid Medical Insights through Agent-Based Simulations\" \/>\n<meta property=\"og:description\" content=\"Lukas Breitwieser and Tobias Duswald \u2013 Information Technology Department (IT), CERN, Geneve, Switzerland\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/seminars\/122-biodynamo-rapid-medical-insights-through-agent-based-simulations\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-25T18:33:58+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/01\/122_biodynamo_li-1024x536.jpg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/seminars\\\/122-biodynamo-rapid-medical-insights-through-agent-based-simulations\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/seminars\\\/122-biodynamo-rapid-medical-insights-through-agent-based-simulations\\\/\",\"name\":\"122. 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However, many existing agent-based simulation platforms are not suitable for large-scale studies due to the low performance of the underlying simulation engines. To overcome this limitation, we developed BioDynaMo - a modular and highly efficient C++ simulation platform for agent-based modeling.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Agent-based modeling plays an essential role in gaining insights into biology, medicine, and many other fields. However, many existing agent-based simulation platforms are not suitable for large-scale studies due to the low performance of the underlying simulation engines. To overcome this limitation, we developed BioDynaMo - a modular and highly efficient C++ simulation platform for agent-based modeling.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-wIy7Xb","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-fSKbJM","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">To this date, BioDynaMo has been used to model cancer progression, radiation-induced lung fibrosis, retinal development, spread of infectious diseases, biofilms, lamination of the cerebral cortex and much more. BioDynaMo's ability to simulate billions of agents was a crucial milestone for simulating large tumor volumes of up to 400 mm3.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">To this date, BioDynaMo has been used to model cancer progression, radiation-induced lung fibrosis, retinal development, spread of infectious diseases, biofilms, lamination of the cerebral cortex and much more. BioDynaMo's ability to simulate billions of agents was a crucial milestone for simulating large tumor volumes of up to 400 mm3.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-wIy7Xb","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-oLBoeN","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">In this seminar, we give a short introduction into the agent-based modeling approach, present our work to reduce the simulation runtime, provide an overview of BioDynaMo's features to accelerate simulation development, and present a comprehensive cancer model accounting for vascular tumor growth and treatment with Trastuzumab and Doxorubicin.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">In this seminar, we give a short introduction into the agent-based modeling approach, present our work to reduce the simulation runtime, provide an overview of BioDynaMo's features to accelerate simulation development, and present a comprehensive cancer model accounting for vascular tumor growth and treatment with Trastuzumab and Doxorubicin.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-V8s12G","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-I0lx28","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\">About the authors<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\">About the authors<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Lsd0Q1","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Lukas Breitwieser<br><\/strong>Lukas is the principal software engineer of the agent-based simulation platform BioDynaMo. Since the project was established in 2015, he has been involved in all major platform developments with a focus on the scalable and modular simulation engine. Lukas holds a Master's degree in Software Development and Business Management from Graz University of Technology and is pursuing a PhD in Computer Science at ETH Zurich. His research interests include high-performance, parallel, distributed, and heterogeneous computing.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Lukas Breitwieser<br><\/strong>Lukas is the principal software engineer of the agent-based simulation platform BioDynaMo. Since the project was established in 2015, he has been involved in all major platform developments with a focus on the scalable and modular simulation engine. Lukas holds a Master's degree in Software Development and Business Management from Graz University of Technology and is pursuing a PhD in Computer Science at ETH Zurich. His research interests include high-performance, parallel, distributed, and heterogeneous computing.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-wIy7Xb","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-xv4nBA","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><strong>Tobias Duswald<br><\/strong>Tobias Duswald is a dedicated physicist with a master's degree in particle physics from the Technical University of Munich (TUM). Currently pursuing his PhD at TUM and CERN, he focuses on stochastic modeling. Additionally, Tobias actively contributes to the development of BioDynaMo, a groundbreaking project that merges physics and biology to simulate complex biological systems. With his expertise and enthusiasm, Tobias aims to advance scientific knowledge and make meaningful contributions to the field.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><strong>Tobias Duswald<br><\/strong>Tobias Duswald is a dedicated physicist with a master's degree in particle physics from the Technical University of Munich (TUM). Currently pursuing his PhD at TUM and CERN, he focuses on stochastic modeling. Additionally, Tobias actively contributes to the development of BioDynaMo, a groundbreaking project that merges physics and biology to simulate complex biological systems. With his expertise and enthusiasm, Tobias aims to advance scientific knowledge and make meaningful contributions to the field.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"epAnimationGeneratedClass":"edplus_anim-V8s12G","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/image","attrs":{"align":"center","id":15210,"sizeSlug":"large","linkDestination":"none","epAnimationGeneratedClass":"edplus_anim-3eBISg","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-image aligncenter size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/01\/122_biodynamo_li-1024x536.jpg\" alt=\"\" class=\"wp-image-15210\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image aligncenter size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/01\/122_biodynamo_li-1024x536.jpg\" alt=\"\" class=\"wp-image-15210\"\/><\/figure>\n"]}],"meta_data":{"event_day":"2024-02-12","event_time":"2:00-3:30 PM (CET)","event_guest":"Fons Rademakers \u2013 Information Technology Department (IT), CERN, Geneve, Switzerland","has_medias":false},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/15065","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/seminars"}],"version-history":[{"count":8,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/15065\/revisions"}],"predecessor-version":[{"id":15332,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/15065\/revisions\/15332"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=15065"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}