{"id":778,"date":"2026-02-20T09:33:39","date_gmt":"2026-02-20T06:33:39","guid":{"rendered":"https:\/\/bgrssb.icgbio.ru\/2026\/?page_id=778"},"modified":"2026-02-20T09:40:33","modified_gmt":"2026-02-20T06:40:33","slug":"symposium_4","status":"publish","type":"page","link":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/symposium_4\/","title":{"rendered":"Symposium B4 \u201cBig biological data analysis, ontologies and artificial intelligence\u201d"},"content":{"rendered":"<p data-start=\"45\" data-end=\"339\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">This symposium is an interdisciplinary forum for presenting and discussing the latest advances in areas such as: analysis of large-scale genetic\/biological data using artificial intelligence methods; systems methodology and theory; and ontological representation and modeling of subject domains.<\/span><\/p>\n<p data-start=\"341\" data-end=\"380\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">The symposium\u2019s central topics include:<\/span><\/p>\n<ul data-start=\"382\" data-end=\"2320\" data-is-last-node=\"\" data-is-only-node=\"\">\n<li data-start=\"382\" data-end=\"587\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">automated extraction of knowledge and facts from Big genetic datasets presented in scientific publications, patents, and factographic databases, using machine reading and artificial intelligence methods;<\/span><\/li>\n<li data-start=\"588\" data-end=\"815\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">integration of bioinformatics\/systems computational biology methods with artificial intelligence\/machine learning approaches for analyzing Big genetic\/biological data and for modeling genetic\/biological systems and processes;<\/span><\/li>\n<li data-start=\"816\" data-end=\"970\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">interpretability, explainability, and substantive validity of AI-derived decisions\/inferences obtained in the analysis of large genetic\/biological data;<\/span><\/li>\n<li data-start=\"971\" data-end=\"1185\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">application of artificial intelligence\/machine learning methods to problems in the domains of \u201cGenetics,\u201d \u201cMedicine,\u201d \u201cBiotechnology,\u201d \u201cPharmacology,\u201d \u201cAgrobiotechnologies,\u201d and other life-science\u2013related fields;<\/span><\/li>\n<li data-start=\"1186\" data-end=\"1298\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">ontological description and modeling of subject domains enabling efficient information retrieval and analysis;<\/span><\/li>\n<li data-start=\"1299\" data-end=\"1805\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">methods of explainable and causal artificial intelligence (generative AI and large language models (LLMs), graph neural networks (GNNs), deep neural networks (DNNs), transformers, Kolmogorov\u2013Arnold networks (KAN), etc.) for analysis and modeling of the structural-functional organization and dynamics of complex systems and processes in genetics and the life sciences (genomes, biological macromolecules, gene networks, metabolic pathways, functional systems of organisms, populations, ecosystems, etc.);<\/span><\/li>\n<li data-start=\"1806\" data-end=\"1975\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">algorithms and computational tools for deriving meaningful conclusions from large-scale genetic (biological) data (scalability, data quality, integration, validation);<\/span><\/li>\n<li data-start=\"1976\" data-end=\"2123\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">development of causal artificial intelligence methods for effective investigation of cause-and-effect relationships in complex systems\/processes;<\/span><\/li>\n<li data-start=\"2124\" data-end=\"2320\" data-is-last-node=\"\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 10pt;\">mathematical and methodological problems of systems theory (including functional systems): basic elements and modules, hierarchical structure, integrity, synergetics, and system-forming factors.<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>This symposium is an interdisciplinary forum for presenting and discussing the latest advances in areas such as: analysis of large-scale genetic\/biological data using artificial intelligence methods; systems methodology and theory; and ontological representation and modeling of subject domains. The symposium\u2019s central topics include: automated extraction of knowledge and facts from Big genetic datasets presented in [&hellip;]<\/p>\n","protected":false},"author":3967,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/pages\/778"}],"collection":[{"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/users\/3967"}],"replies":[{"embeddable":true,"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/comments?post=778"}],"version-history":[{"count":3,"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/pages\/778\/revisions"}],"predecessor-version":[{"id":781,"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/pages\/778\/revisions\/781"}],"wp:attachment":[{"href":"https:\/\/bgrssb.icgbio.ru\/2026\/en\/wp-json\/wp\/v2\/media?parent=778"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}