link.springer.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"Model Execution Environment (MEE) is a platform for execution of pipelines on HPC resources, focusing on processing patient data. In collaboration with Cyfronet and with the partners from InSilicoWorld EU project, we contributee to the development of Model Execution Environment, extending it to add support for cohorts of patients and simulation campaigns, as well as performance monitoring system and secure data storage based on cloud object storage and DataVerse platform.<\/p>\n","protected":false},"featured_media":0,"template":"","research_type":[7],"research_team":[16],"class_list":["post-15093","research","type-research","status-publish","hentry","research_type-research-topics","research_team-extreme-scale-data-and-computing"],"yoast_head":"\n
Platform for Simulations of Digital Twins - 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\/research\/platform-for-simulations-of-digital-twins\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Platform for Simulations of Digital Twins\" \/>\n<meta property=\"og:description\" content=\"Model Execution Environment (MEE) is a platform for execution of pipelines on HPC resources, focusing on processing patient data. In collaboration with Cyfronet and with the partners from InSilicoWorld EU project, we contributee to the development of Model Execution Environment, extending it to add support for cohorts of patients and simulation campaigns, as well as performance monitoring system and secure data storage based on cloud object storage and DataVerse platform.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/research\/platform-for-simulations-of-digital-twins\/\" \/>\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=\"2024-06-07T10:55:43+00:00\" \/>\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=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/research\\\/platform-for-simulations-of-digital-twins\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/research\\\/platform-for-simulations-of-digital-twins\\\/\",\"name\":\"Platform for Simulations of Digital Twins - Centre for Computational Personalized Medicine\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#website\"},\"datePublished\":\"2024-01-22T08:08:27+00:00\",\"dateModified\":\"2024-06-07T10:55:43+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sano.science\\\/research\\\/platform-for-simulations-of-digital-twins\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sano.science\\\/research\\\/platform-for-simulations-of-digital-twins\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sano.science\\\/research\\\/platform-for-simulations-of-digital-twins\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sano.science\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Research\",\"item\":\"https:\\\/\\\/sano.science\\\/research\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Research Topics\",\"item\":\"https:\\\/\\\/sano.science\\\/research-type\\\/research-topics\\\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"Platform for Simulations of Digital Twins\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/sano.science\\\/#website\",\"url\":\"https:\\\/\\\/sano.science\\\/\",\"name\":\"Centre for Computational Personalized Medicine\",\"description\":\"Sano \u2013 Centre for Computational Medicine\",\"publisher\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/sano.science\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/sano.science\\\/#organization\",\"name\":\"Sano \u2013 Centre for Computational Medicine\",\"alternateName\":\"Sano\",\"url\":\"https:\\\/\\\/sano.science\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sano.science\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2024\\\/05\\\/logo_sano_podstawowe.png\",\"contentUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2024\\\/05\\\/logo_sano_podstawowe.png\",\"width\":700,\"height\":265,\"caption\":\"Sano \u2013 Centre for Computational Medicine\"},\"image\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/sano.science\\\/\",\"https:\\\/\\\/x.com\\\/sanoscience\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/sanoscience\\\/\",\"https:\\\/\\\/www.youtube.com\\\/channel\\\/UCDZ_8TcjMWUG2ZcgKKgfpwQ\",\"https:\\\/\\\/bsky.app\\\/profile\\\/sanoscience.bsky.social\"]}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Platform for Simulations of Digital Twins - Centre for Computational Personalized Medicine","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sano.science\/research\/platform-for-simulations-of-digital-twins\/","og_locale":"en_US","og_type":"article","og_title":"Platform for Simulations of Digital Twins","og_description":"Model Execution Environment (MEE) is a platform for execution of pipelines on HPC resources, focusing on processing patient data. In collaboration with Cyfronet and with the partners from InSilicoWorld EU project, we contributee to the development of Model Execution Environment, extending it to add support for cohorts of patients and simulation campaigns, as well as performance monitoring system and secure data storage based on cloud object storage and DataVerse platform.","og_url":"https:\/\/sano.science\/research\/platform-for-simulations-of-digital-twins\/","og_site_name":"Centre for Computational Personalized Medicine","article_publisher":"https:\/\/www.facebook.com\/sano.science\/","article_modified_time":"2024-06-07T10:55:43+00:00","twitter_card":"summary_large_image","twitter_site":"@sanoscience","twitter_misc":{"Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/sano.science\/research\/platform-for-simulations-of-digital-twins\/","url":"https:\/\/sano.science\/research\/platform-for-simulations-of-digital-twins\/","name":"Platform for Simulations of Digital Twins - Centre for Computational Personalized Medicine","isPartOf":{"@id":"https:\/\/sano.science\/#website"},"datePublished":"2024-01-22T08:08:27+00:00","dateModified":"2024-06-07T10:55:43+00:00","breadcrumb":{"@id":"https:\/\/sano.science\/research\/platform-for-simulations-of-digital-twins\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sano.science\/research\/platform-for-simulations-of-digital-twins\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/sano.science\/research\/platform-for-simulations-of-digital-twins\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/sano.science\/"},{"@type":"ListItem","position":2,"name":"Research","item":"https:\/\/sano.science\/research\/"},{"@type":"ListItem","position":3,"name":"Research Topics","item":"https:\/\/sano.science\/research-type\/research-topics\/"},{"@type":"ListItem","position":4,"name":"Platform for Simulations of Digital Twins"}]},{"@type":"WebSite","@id":"https:\/\/sano.science\/#website","url":"https:\/\/sano.science\/","name":"Centre for Computational Personalized Medicine","description":"Sano \u2013 Centre for Computational Medicine","publisher":{"@id":"https:\/\/sano.science\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sano.science\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/sano.science\/#organization","name":"Sano \u2013 Centre for Computational Medicine","alternateName":"Sano","url":"https:\/\/sano.science\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/","url":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","contentUrl":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","width":700,"height":265,"caption":"Sano \u2013 Centre for Computational Medicine"},"image":{"@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/sano.science\/","https:\/\/x.com\/sanoscience","https:\/\/www.linkedin.com\/company\/sanoscience\/","https:\/\/www.youtube.com\/channel\/UCDZ_8TcjMWUG2ZcgKKgfpwQ","https:\/\/bsky.app\/profile\/sanoscience.bsky.social"]}]}},"acf":[],"gutenberg_blocks":[{"blockName":"custom-styles","attrs":{"styles":""}},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-vfzu1P","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Model Execution Environment (MEE) is a platform for execution of pipelines on HPC resources, focusing on processing patient data. In collaboration with Cyfronet and with the partners from InSilicoWorld EU project, we contributee to the development of Model Execution Environment, extending it to add support for cohorts of patients and simulation campaigns, as well as performance monitoring system and secure data storage based on cloud object storage and DataVerse platform.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Model Execution Environment (MEE) is a platform for execution of pipelines on HPC resources, focusing on processing patient data. In collaboration with Cyfronet and with the partners from InSilicoWorld EU project, we contributee to the development of Model Execution Environment, extending it to add support for cohorts of patients and simulation campaigns, as well as performance monitoring system and secure data storage based on cloud object storage and DataVerse platform.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-aX27e7","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/mee.cyfronet.pl\/\" target=\"_blank\" rel=\"noreferrer noopener\">mee.cyfronet.<\/a><a href=\"https:\/\/mee.cyfronet.pl\/\">pl<\/a><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/mee.cyfronet.pl\/\" target=\"_blank\" rel=\"noreferrer noopener\">mee.cyfronet.<\/a><a href=\"https:\/\/mee.cyfronet.pl\/\">pl<\/a><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-0E9WGZ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-36021-3_2\">link.springer.com<\/a><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-36021-3_2\">link.springer.com<\/a><\/p>\n"]}],"meta_data":{"is_automatically_other_posts":true,"number_of_posts":"3","is_automatically_check_also_posts":true},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/15093","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/research"}],"version-history":[{"count":5,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/15093\/revisions"}],"predecessor-version":[{"id":17119,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research\/15093\/revisions\/17119"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=15093"}],"wp:term":[{"taxonomy":"research_type","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_type?post=15093"},{"taxonomy":"research_team","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/research_team?post=15093"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}