{"id":15572,"date":"2024-03-04T07:17:00","date_gmt":"2024-03-04T06:17:00","guid":{"rendered":"https:\/\/sano.science\/?post_type=seminars&p=15572"},"modified":"2024-03-03T20:09:52","modified_gmt":"2024-03-03T19:09:52","slug":"124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations","status":"publish","type":"seminars","link":"https:\/\/sano.science\/seminars\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/","title":{"rendered":"124. Multi-agent systems for disease classification through abstractions and argumentations"},"content":{"rendered":"\n
Abstract<\/h2>\n\n\n\n
The availability of large data sets is providing the impetus for driving many current artificial intelligent developments. However, specific challenges arise in developing solutions that exploit small data sets, mainly due to practical and cost-effective deployment issues, as well as the opacity of deep learning models. To address this, the Comprehensive Abstraction and Classification Tool for Uncovering Structures (CACTUS) is presented as a means of improving secure analytics by effectively employing explainable artificial intelligence.<\/p>\n\n\n\n
A natural application of this concept is Age-related Macular Degeneration (AMD), a complex retinal disease with a long and heterogeneous progression trajectory. AMD presents many factors with deep and subtle interactions, from genetic to lifestyle habits, making the data collection necessary for its correct assessment challenging.<\/p>\n\n\n\n
CACTUS is proved to be able to distinguish between individuals with and without AMD better than traditional machine learning models.<\/p>\n\n\n\n
<\/div>\n\n\n\n
About the author<\/h2>\n\n\n\n
Luca got a Master of Science in Computer Science from the University of Modena and Reggio Emilia, in Italy. He feeds a deep curiosity for many scientific fields, for which he decided to join Sano in a project on proteins diffusion in Alzheimer and Parkinson diseases. Luca is always focusing on self-development, meditation, and training sessions.<\/p>\n\n\n\n
Luca Gherardini \u2013 PhD student, Personal Health Data Team, Sano Centre for Computational Medicine, Krakow PL<\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-15572","seminars","type-seminars","status-publish","hentry"],"yoast_head":"\n
124. Multi-agent systems for disease classification through abstractions and argumentations - 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\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"124. Multi-agent systems for disease classification through abstractions and argumentations\" \/>\n<meta property=\"og:description\" content=\"Luca Gherardini \u2013 PhD student, Personal Health Data Team, Sano Centre for Computational Medicine, Krakow PL\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/seminars\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/\" \/>\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=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/124_multi_agent_systems_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\\\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/seminars\\\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\\\/\",\"name\":\"124. Multi-agent systems for disease classification through abstractions and argumentations - Centre for Computational Personalized Medicine\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/sano.science\\\/seminars\\\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/sano.science\\\/seminars\\\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2024\\\/03\\\/124_multi_agent_systems_li-1024x536.jpg\",\"datePublished\":\"2024-03-04T06:17:00+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sano.science\\\/seminars\\\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sano.science\\\/seminars\\\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sano.science\\\/seminars\\\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\\\/#primaryimage\",\"url\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2024\\\/03\\\/124_multi_agent_systems_li.jpg\",\"contentUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2024\\\/03\\\/124_multi_agent_systems_li.jpg\",\"width\":1200,\"height\":628},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sano.science\\\/seminars\\\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sano.science\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Seminars\",\"item\":\"https:\\\/\\\/sano.science\\\/seminars\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"124. Multi-agent systems for disease classification through abstractions and argumentations\"}]},{\"@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":"124. Multi-agent systems for disease classification through abstractions and argumentations - 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\/seminars\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/","og_locale":"en_US","og_type":"article","og_title":"124. Multi-agent systems for disease classification through abstractions and argumentations","og_description":"Luca Gherardini \u2013 PhD student, Personal Health Data Team, Sano Centre for Computational Medicine, Krakow PL","og_url":"https:\/\/sano.science\/seminars\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/","og_site_name":"Centre for Computational Personalized Medicine","article_publisher":"https:\/\/www.facebook.com\/sano.science\/","og_image":[{"url":"https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/124_multi_agent_systems_li-1024x536.jpg","type":"","width":"","height":""}],"twitter_card":"summary_large_image","twitter_site":"@sanoscience","twitter_misc":{"Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/sano.science\/seminars\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/","url":"https:\/\/sano.science\/seminars\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/","name":"124. Multi-agent systems for disease classification through abstractions and argumentations - Centre for Computational Personalized Medicine","isPartOf":{"@id":"https:\/\/sano.science\/#website"},"primaryImageOfPage":{"@id":"https:\/\/sano.science\/seminars\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/#primaryimage"},"image":{"@id":"https:\/\/sano.science\/seminars\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/#primaryimage"},"thumbnailUrl":"https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/124_multi_agent_systems_li-1024x536.jpg","datePublished":"2024-03-04T06:17:00+00:00","breadcrumb":{"@id":"https:\/\/sano.science\/seminars\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sano.science\/seminars\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/sano.science\/seminars\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/#primaryimage","url":"https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/124_multi_agent_systems_li.jpg","contentUrl":"https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/124_multi_agent_systems_li.jpg","width":1200,"height":628},{"@type":"BreadcrumbList","@id":"https:\/\/sano.science\/seminars\/124-multi-agent-systems-for-disease-classification-through-abstractions-and-argumentations\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/sano.science\/"},{"@type":"ListItem","position":2,"name":"Seminars","item":"https:\/\/sano.science\/seminars\/"},{"@type":"ListItem","position":3,"name":"124. Multi-agent systems for disease classification through abstractions and argumentations"}]},{"@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\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-pk3zyD","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\">Abstract<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\">Abstract<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-WwxNfl","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The availability of large data sets is providing the impetus for driving many current artificial intelligent developments. However, specific challenges arise in developing solutions that exploit small data sets, mainly due to practical and cost-effective deployment issues, as well as the opacity of deep learning models. To address this, the Comprehensive Abstraction and Classification Tool for Uncovering Structures (CACTUS) is presented as a means of improving secure analytics by effectively employing explainable artificial intelligence.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The availability of large data sets is providing the impetus for driving many current artificial intelligent developments. However, specific challenges arise in developing solutions that exploit small data sets, mainly due to practical and cost-effective deployment issues, as well as the opacity of deep learning models. To address this, the Comprehensive Abstraction and Classification Tool for Uncovering Structures (CACTUS) is presented as a means of improving secure analytics by effectively employing explainable artificial intelligence.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-uzfTDK","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">A natural application of this concept is Age-related Macular Degeneration (AMD), a complex retinal disease with a long and heterogeneous progression trajectory. AMD presents many factors with deep and subtle interactions, from genetic to lifestyle habits, making the data collection necessary for its correct assessment challenging.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">A natural application of this concept is Age-related Macular Degeneration (AMD), a complex retinal disease with a long and heterogeneous progression trajectory. AMD presents many factors with deep and subtle interactions, from genetic to lifestyle habits, making the data collection necessary for its correct assessment challenging.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-amLzlD","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">CACTUS is proved to be able to distinguish between individuals with and without AMD better than traditional machine learning models.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">CACTUS is proved to be able to distinguish between individuals with and without AMD better than traditional machine learning models.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-XH7385","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-cZoSVn","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\">About the author<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\">About the author<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-x23N5e","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Luca got a Master of Science in Computer Science from the University of Modena and Reggio Emilia, in Italy. He feeds a deep curiosity for many scientific fields, for which he decided to join Sano in a project on proteins diffusion in Alzheimer and Parkinson diseases. Luca is always focusing on self-development, meditation, and training sessions.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Luca got a Master of Science in Computer Science from the University of Modena and Reggio Emilia, in Italy. He feeds a deep curiosity for many scientific fields, for which he decided to join Sano in a project on proteins diffusion in Alzheimer and Parkinson diseases. Luca is always focusing on self-development, meditation, and training sessions.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-4LcFCB","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\/image","attrs":{"align":"center","id":15573,"sizeSlug":"large","linkDestination":"none","epAnimationGeneratedClass":"edplus_anim-Qo6mu0","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\/03\/124_multi_agent_systems_li-1024x536.jpg\" alt=\"\" class=\"wp-image-15573\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image aligncenter size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/124_multi_agent_systems_li-1024x536.jpg\" alt=\"\" class=\"wp-image-15573\"\/><\/figure>\n"]}],"meta_data":{"event_day":"2024-03-04","event_time":"2:00-3:30 PM (CET)","event_guest":"Luca Gherardini \u2013 PhD student, Personal Health Data Team, Sano Centre for Computational Medicine, Krakow PL","has_medias":true,"medias":[{"icon":{"ID":1144,"id":1144,"title":"clock","filename":"clock.svg","filesize":1479,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","link":"https:\/\/sano.science\/seminars\/79-digital-behaviour-change-interventions-dbci-from-design-to-implementation\/clock\/","alt":"clock Sano Seminar","author":"7","description":"","caption":"Sano Seminar clock","name":"clock","status":"inherit","uploaded_to":13471,"date":"2023-06-01 13:24:42","modified":"2024-10-09 16:41:04","menu_order":0,"mime_type":"image\/svg+xml","type":"image","subtype":"svg+xml","icon":"https:\/\/sano.science\/wp-includes\/images\/media\/default.png","width":56,"height":57,"sizes":{"thumbnail":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","thumbnail-width":147,"thumbnail-height":150,"medium":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","medium-width":294,"medium-height":300,"medium_large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","medium_large-width":768,"medium_large-height":783,"large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","large-width":1004,"large-height":1024,"1536x1536":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","1536x1536-width":56,"1536x1536-height":57,"2048x2048":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","2048x2048-width":56,"2048x2048-height":57}},"title":"4th March 2024, 2:00-3:30 PM (CET)","link":""},{"icon":{"ID":1146,"id":1146,"title":"camera","filename":"camera.svg","filesize":1129,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","link":"https:\/\/sano.science\/seminars\/79-digital-behaviour-change-interventions-dbci-from-design-to-implementation\/camera\/","alt":"camera Sano Seminar","author":"7","description":"","caption":"Sano Seminar camera","name":"camera","status":"inherit","uploaded_to":13471,"date":"2023-06-01 13:25:24","modified":"2024-10-09 16:42:29","menu_order":0,"mime_type":"image\/svg+xml","type":"image","subtype":"svg+xml","icon":"https:\/\/sano.science\/wp-includes\/images\/media\/default.png","width":60,"height":38,"sizes":{"thumbnail":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","thumbnail-width":150,"thumbnail-height":95,"medium":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","medium-width":300,"medium-height":190,"medium_large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","medium_large-width":768,"medium_large-height":486,"large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","large-width":1024,"large-height":648,"1536x1536":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","1536x1536-width":60,"1536x1536-height":38,"2048x2048":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","2048x2048-width":60,"2048x2048-height":38}},"title":"Join via ZOOM on","link":{"title":"seminar.sano.science","url":"http:\/\/seminar.sano.science","target":"_blank"}}]},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/15572","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":5,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/15572\/revisions"}],"predecessor-version":[{"id":15579,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/15572\/revisions\/15579"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=15572"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"\"](\"https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/124_multi_agent_systems_li-1024x536.jpg\")
<\/figure>\n<\/div>","protected":false},"excerpt":{"rendered":"