{"id":12041,"date":"2023-07-06T15:15:08","date_gmt":"2023-07-06T13:15:08","guid":{"rendered":"https:\/\/new.sano.science\/?post_type=people&p=12041"},"modified":"2024-09-01T13:18:37","modified_gmt":"2024-09-01T11:18:37","slug":"pawel-renc","status":"publish","type":"people","link":"https:\/\/sano.science\/people\/pawel-renc\/","title":{"rendered":"Pawe\u0142 Renc"},"excerpt":{"rendered":"

PhD Student in Health Informatics<\/p>\n","protected":false},"featured_media":12042,"template":"","people_teams":[24],"class_list":["post-12041","people","type-people","status-publish","has-post-thumbnail","hentry","people_teams-alumni"],"yoast_head":"\nPawe\u0142 Renc - 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\/people\/pawel-renc\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pawe\u0142 Renc\" \/>\n<meta property=\"og:description\" content=\"PhD Student in Health Informatics\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/people\/pawel-renc\/\" \/>\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=\"2024-09-01T11:18:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/07\/pawel_renc.png\" \/>\n\t<meta property=\"og:image:width\" content=\"350\" \/>\n\t<meta property=\"og:image:height\" content=\"350\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\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\\\/people\\\/pawel-renc\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/people\\\/pawel-renc\\\/\",\"name\":\"Pawe\u0142 Renc - Centre for Computational Personalized Medicine\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/sano.science\\\/people\\\/pawel-renc\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/sano.science\\\/people\\\/pawel-renc\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2023\\\/07\\\/pawel_renc.png\",\"datePublished\":\"2023-07-06T13:15:08+00:00\",\"dateModified\":\"2024-09-01T11:18:37+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/sano.science\\\/people\\\/pawel-renc\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/sano.science\\\/people\\\/pawel-renc\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/sano.science\\\/people\\\/pawel-renc\\\/#primaryimage\",\"url\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2023\\\/07\\\/pawel_renc.png\",\"contentUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2023\\\/07\\\/pawel_renc.png\",\"width\":350,\"height\":350},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/sano.science\\\/people\\\/pawel-renc\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/sano.science\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"People\",\"item\":\"https:\\\/\\\/sano.science\\\/people\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Alumni\",\"item\":\"https:\\\/\\\/sano.science\\\/people-teams\\\/alumni\\\/\"},{\"@type\":\"ListItem\",\"position\":4,\"name\":\"Pawe\u0142 Renc\"}]},{\"@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":"Pawe\u0142 Renc - 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\/people\/pawel-renc\/","og_locale":"en_US","og_type":"article","og_title":"Pawe\u0142 Renc","og_description":"PhD Student in Health Informatics","og_url":"https:\/\/sano.science\/people\/pawel-renc\/","og_site_name":"Centre for Computational Personalized Medicine","article_publisher":"https:\/\/www.facebook.com\/sano.science\/","article_modified_time":"2024-09-01T11:18:37+00:00","og_image":[{"width":350,"height":350,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/07\/pawel_renc.png","type":"image\/png"}],"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\/people\/pawel-renc\/","url":"https:\/\/sano.science\/people\/pawel-renc\/","name":"Pawe\u0142 Renc - Centre for Computational Personalized Medicine","isPartOf":{"@id":"https:\/\/sano.science\/#website"},"primaryImageOfPage":{"@id":"https:\/\/sano.science\/people\/pawel-renc\/#primaryimage"},"image":{"@id":"https:\/\/sano.science\/people\/pawel-renc\/#primaryimage"},"thumbnailUrl":"https:\/\/sano.science\/wp-content\/uploads\/2023\/07\/pawel_renc.png","datePublished":"2023-07-06T13:15:08+00:00","dateModified":"2024-09-01T11:18:37+00:00","breadcrumb":{"@id":"https:\/\/sano.science\/people\/pawel-renc\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sano.science\/people\/pawel-renc\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/sano.science\/people\/pawel-renc\/#primaryimage","url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/07\/pawel_renc.png","contentUrl":"https:\/\/sano.science\/wp-content\/uploads\/2023\/07\/pawel_renc.png","width":350,"height":350},{"@type":"BreadcrumbList","@id":"https:\/\/sano.science\/people\/pawel-renc\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/sano.science\/"},{"@type":"ListItem","position":2,"name":"People","item":"https:\/\/sano.science\/people\/"},{"@type":"ListItem","position":3,"name":"Alumni","item":"https:\/\/sano.science\/people-teams\/alumni\/"},{"@type":"ListItem","position":4,"name":"Pawe\u0142 Renc"}]},{"@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":[],"meta_data":{"description":"<p>Pawe\u0142 obtained the title of MSc. in CS at the AGH University of Science and Technology in Krakow, specializing in data science, and currently is a PhD student at the same university. At Sano, he joined the Healthcare Informatics team where he processes medical data utilizing machine learning methods. His research interests include AI, optimization algorithms and parallel computing in the GPGPU architecture.<\/p>\n","email":"","social_media":false,"tabs":false,"quote":"","position_with_team":{"text_before_link":"PhD Student in","link_text":"Health Informatics","text_after_link":"","link":"https:\/\/sano.science\/research-teams\/health-informatics-group-higs\/"},"publications":[{"ID":14880,"post_author":"5","post_date":"2024-01-12 16:56:53","post_date_gmt":"2024-01-12 15:56:53","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-EUAsHn\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\">Eleanor Murray, Christian Delles, Patryk Orzechowski, Pawel RENC, Arkadiusz SITEK, Joost Wagenaar, and Tomasz Guzik<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-mDL8y1\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-DWDrJd\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">The study characterises vascular phenotypes of hypertensive patients utilising machine learning approaches. Newly diagnosed and treatment-na\u00efve primary hypertensive patients without co-morbidities (aged 18\u201355,\u00a0<em>n<\/em>\u2009=\u200973), and matched normotensive controls (<em>n<\/em>\u2009=\u200979) were recruited (NCT04015635). Blood pressure (BP) and BP variability were determined using 24\u2009h ambulatory monitoring. Vascular phenotyping included SphygmoCor\u00ae measurement of pulse wave velocity (PWV), pulse wave analysis-derived augmentation index (PWA-AIx), and central BP; EndoPAT\u2122-2000\u00ae provided reactive hyperaemia index (LnRHI) and augmentation index adjusted to heart rate of 75bpm. Ultrasound was used to analyse flow mediated dilatation and carotid intima-media thickness (CIMT). In addition to standard statistical methods to compare normotensive and hypertensive groups, machine learning techniques including biclustering explored hypertensive phenotypic subgroups. We report that arterial stiffness (PWV, PWA-AIx, EndoPAT-2000-derived AI@75) and central pressures were greater in incident hypertension than normotension. Endothelial function, percent nocturnal dip, and CIMT did not differ between groups. The vascular phenotype of white-coat hypertension imitated sustained hypertension with elevated arterial stiffness and central pressure; masked hypertension demonstrating values similar to normotension. Machine learning revealed three distinct hypertension clusters, representing \u2018arterially stiffened\u2019, \u2018vaso-protected\u2019, and \u2018non-dipper\u2019 patients. Key clustering features were nocturnal- and central-BP, percent dipping, and arterial stiffness\u00a0measures. We conclude that untreated patients with primary hypertension demonstrate early arterial stiffening rather than endothelial dysfunction or CIMT alterations. Phenotypic heterogeneity in nocturnal and central BP, percent dipping, and arterial stiffness observed early in the course of disease may have implications for risk stratification.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-mDL8y1\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_65a1611903724\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/www.nature.com\/articles\/s41371-022-00794-7\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_blank\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"Vascular phenotypes in early hypertension","post_excerpt":"In: Journal of Human Hypertension, 2022.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"vascular-phenotypes-in-early-hypertension","to_ping":"","pinged":"","post_modified":"2024-01-12 16:56:53","post_modified_gmt":"2024-01-12 15:56:53","post_content_filtered":"","post_parent":0,"guid":"https:\/\/sano.science\/?post_type=research&p=14880","menu_order":58,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12672,"post_author":"5","post_date":"2023-07-13 13:15:34","post_date_gmt":"2023-07-13 11:15:34","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-uPKIm1\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\">Orzechowski P, <strong>Renc P<\/strong>, Moore JH, <strong>Sitek A<\/strong>, Was J, Wagenaar J<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-pfVG6M\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-g6RaDr\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">In this paper we compare performance of genetic programming-based symbolic classifiers on a novel synthetic machine learning benchmark called DIGEN. This framework and collection of 40 different classification problems was designed specifically to differentiate performance of leading machine learning methods.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-pfVG6M\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_64c03a3910a37\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3520304.3529056\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_blank\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"Are Evolutionary Classifiers Any Good? A Comparative Study on a Synthetic Machine Learning Benchmark","post_excerpt":"In: The Genetic and Evolutionary Computation Conference, 2022.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"are-evolutionary-classifiers-any-good-a-comparative-study-on-a-synthetic-machine-learning-benchmark","to_ping":"","pinged":"","post_modified":"2024-01-09 18:35:48","post_modified_gmt":"2024-01-09 17:35:48","post_content_filtered":"","post_parent":0,"guid":"https:\/\/new.sano.science\/?post_type=research&p=12672","menu_order":64,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12642,"post_author":"5","post_date":"2023-07-13 12:38:01","post_date_gmt":"2023-07-13 10:38:01","post_content":"<!-- wp:heading {\"epAnimationGeneratedClass\":\"edplus_anim-rQHizB\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<h2 class=\"wp-block-heading eplus-wrapper\">Renc, Pawe\u0142; P\u0119cak, Tomasz; Rango, Alessio De; Spataro, William; Mendicino, Giuseppe; W\u0105s, Jaros\u0142aw<\/h2>\n<!-- \/wp:heading -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-ErA5G4\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:paragraph {\"epAnimationGeneratedClass\":\"edplus_anim-Q9n5ec\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<p class=\" eplus-wrapper\">Natural complex phenomena simulation relies on the application of advanced numerical models. Nevertheless, due to their inherent temporal and spatial computational complexity, efficient parallel computing algorithms are required in order to speed up simulation execution times. In this paper, we apply the Nvidia CUDA architecture to the simulation of a groundwater hydrological model based on the Cellular Automata formalism. Different implementations, using different memory access patterns and optimizations, regarding the application of persistent active cells (i.e., once a cell is activated, it remains such throughout a simulation), are presented and evaluated. The obtained results have demonstrated the full suitability of the approach in speeding up simulation times, thus resulting in a valid support for complex system modeling.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:spacer {\"height\":\"50px\",\"epAnimationGeneratedClass\":\"edplus_anim-PRqjN1\",\"epGeneratedClass\":\"eplus-wrapper\"} -->\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n<!-- \/wp:spacer -->\n\n<!-- wp:acf\/button {\"id\":\"block_64afd3e7976dd\",\"name\":\"acf\/button\",\"data\":{\"title\":\"READ HERE\",\"_title\":\"field_61d40397c2f0a\",\"button_type\":\"link\",\"_button_type\":\"field_63bbde3b8f0d0\",\"url\":\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1877750321001964?via%3Dihub\",\"_url\":\"field_61d4039bc2f0b\",\"button_style\":\"primary\",\"_button_style\":\"field_63872d045d0f0\",\"target\":\"_blank\",\"_target\":\"field_63872c705d0ef\",\"button_extra_classes\":\"\",\"_button_extra_classes\":\"field_642beab6a97de\"},\"align\":\"\",\"mode\":\"edit\"} \/-->","post_title":"Towards efficient GPGPU Cellular Automata model implementation using persistent active cells\u00a0","post_excerpt":"In: Journal of Computational Science, 2022.","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"towards-efficient-gpgpu-cellular-automata-model-implementation-using-persistent-active-cells","to_ping":"","pinged":"","post_modified":"2024-01-05 13:48:52","post_modified_gmt":"2024-01-05 12:48:52","post_content_filtered":"","post_parent":0,"guid":"https:\/\/new.sano.science\/?post_type=research&p=12642","menu_order":67,"post_type":"research","post_mime_type":"","comment_count":"0","filter":"raw"}]},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/12041","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/people"}],"version-history":[{"count":3,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/12041\/revisions"}],"predecessor-version":[{"id":15310,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people\/12041\/revisions\/15310"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/12042"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=12041"}],"wp:term":[{"taxonomy":"people_teams","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/people_teams?post=12041"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}