{"id":6337,"date":"2024-04-29T08:45:23","date_gmt":"2024-04-29T06:45:23","guid":{"rendered":"https:\/\/bsicos.i3a.es\/?p=6337"},"modified":"2025-12-15T14:48:10","modified_gmt":"2025-12-15T12:48:10","slug":"artificial-intelligence-for-biomedical-data-processing-and-characterization","status":"publish","type":"post","link":"https:\/\/bsicos.i3a.es\/es\/artificial-intelligence-for-biomedical-data-processing-and-characterization\/","title":{"rendered":"ARTIFICIAL INTELLIGENCE FOR BIOMEDICAL DATA PROCESSING AND CHARACTERIZATION"},"content":{"rendered":"<div id=\"pl-gb6337-69e950aeb4cea\"  class=\"panel-layout wp-block-siteorigin-panels-layout-block\" ><div id=\"pg-gb6337-69e950aeb4cea-0\"  class=\"panel-grid panel-has-style\" ><div class=\"siteorigin-panels-stretch panel-row-style panel-row-style-for-gb6337-69e950aeb4cea-0\" data-stretch-type=\"full-width-stretch\" ><div id=\"pgc-gb6337-69e950aeb4cea-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-gb6337-69e950aeb4cea-0-0-0\" class=\"so-panel widget widget_sow-hero panel-first-child panel-last-child\" data-index=\"0\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-hero so-widget-sow-hero-default-93415d0e2dbf-6337 so-widget-fittext-wrapper\"\n\t\t\t data-fit-text-compressor=\"0.85\"\n\t\t>\t\t\t\t<div class=\"sow-slider-base\" style=\"display: none\" tabindex=\"0\">\n\t\t\t\t\t<ul\n\t\t\t\t\tclass=\"sow-slider-images\"\n\t\t\t\t\tdata-settings=\"{&quot;pagination&quot;:true,&quot;speed&quot;:800,&quot;timeout&quot;:8000,&quot;paused&quot;:false,&quot;pause_on_hover&quot;:false,&quot;swipe&quot;:true,&quot;nav_always_show_desktop&quot;:&quot;&quot;,&quot;nav_always_show_mobile&quot;:&quot;&quot;,&quot;breakpoint&quot;:&quot;780px&quot;,&quot;unmute&quot;:false,&quot;anchor&quot;:null}\"\n\t\t\t\t\t\t\t\t\t\tdata-anchor-id=\"\"\n\t\t\t\t>\t\t<li class=\"sow-slider-image\" style=\"visibility: visible;;background-color: #1e73be\" >\n\t\t\t\t\t<div class=\"sow-slider-image-container\">\n\t\t\t<div class=\"sow-slider-image-wrapper\">\n\t\t\t\t<h3 style=\"text-align: center\"><a href=\"..\/research-lines\/\">L\u00edneas de investigaci\u00f3n<\/a><\/h3>\n<h1 class=\"ultp-block-title\" style=\"text-align: center\">ARTIFICIAL INTELLIGENCE FOR BIOMEDICAL DATA PROCESSING AND CHARACTERIZATION<\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/li>\n\t\t<\/ul>\t\t\t\t<ol class=\"sow-slider-pagination\">\n\t\t\t\t\t\t\t\t\t\t\t<li><a href=\"#\" data-goto=\"0\" aria-label=\"mostrar diapositiva 1\"><\/a><\/li>\n\t\t\t\t\t\t\t\t\t<\/ol>\n\n\t\t\t\t<div class=\"sow-slide-nav sow-slide-nav-next\">\n\t\t\t\t\t<a href=\"#\" data-goto=\"next\" aria-label=\"diapositiva siguiente\" data-action=\"next\">\n\t\t\t\t\t\t<em class=\"sow-sld-icon-thin-right\"><\/em>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\n\t\t\t\t<div class=\"sow-slide-nav sow-slide-nav-prev\">\n\t\t\t\t\t<a href=\"#\" data-goto=\"previous\" aria-label=\"diapositiva anterior\" data-action=\"prev\">\n\t\t\t\t\t\t<em class=\"sow-sld-icon-thin-left\"><\/em>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n\n<div id=\"pl-gb6337-69e950aeb59f6\"  class=\"panel-layout wp-block-siteorigin-panels-layout-block\" ><div id=\"pg-gb6337-69e950aeb59f6-0\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-gb6337-69e950aeb59f6-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-gb6337-69e950aeb59f6-0-0-0\" class=\"so-panel widget widget_sow-headline panel-first-child panel-last-child\" data-index=\"0\" ><div class=\"panel-widget-style panel-widget-style-for-gb6337-69e950aeb59f6-0-0-0\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-headline so-widget-sow-headline-default-508947aa1c00-6337\"\n\t\t\t\n\t\t><div class=\"sow-headline-container\">\n\t\t\t\t\t\t\t<p class=\"sow-headline\">\n\t\t\t\t\t\tResearch line\t\t\t\t\t\t<\/p>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"decoration\">\n\t\t\t\t\t\t<div class=\"decoration-inside\"><\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div id=\"pg-gb6337-69e950aeb59f6-1\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-gb6337-69e950aeb59f6-1-0\"  class=\"panel-grid-cell\" ><div id=\"panel-gb6337-69e950aeb59f6-1-0-0\" class=\"so-panel widget widget_sow-editor panel-first-child panel-last-child\" data-index=\"1\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-editor so-widget-sow-editor-base\"\n\t\t\t\n\t\t>\n<div class=\"siteorigin-widget-tinymce textwidget\">\n\t<div>\n<p>The objective is the development of interpretable artificial intelligence algorithms to complement the approach to some of the clinically relevant problems indicated in the previous lines.<\/p>\n<p>The specific objectives are:<\/p>\n<ul>\n<li>Development of algorithms for diagnosis, prognosis and prediction of long-term cardiovascular risk.<\/li>\n<li>Proposal of pre-trained biomedical signal models with unsupervised learning for subsequent adaptation to problems with data limitations.<\/li>\n<li>Development of interpretable models guided by physiology.<\/li>\n<\/ul>\n<\/div>\n<div><\/div>\n<\/div>\n<\/div><\/div><\/div><div id=\"pgc-gb6337-69e950aeb59f6-1-1\"  class=\"panel-grid-cell\" ><div id=\"panel-gb6337-69e950aeb59f6-1-1-0\" class=\"so-panel widget widget_sow-image panel-first-child panel-last-child\" data-index=\"2\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-image so-widget-sow-image-default-8b5b6f678277-6337\"\n\t\t\t\n\t\t>\n<div class=\"sow-image-container\">\n\t\t<img \n\tsrc=\"https:\/\/bsicos.i3a.es\/wp-content\/uploads\/2024\/04\/AI_2.jpg\" width=\"1920\" height=\"1080\" srcset=\"https:\/\/bsicos.i3a.es\/wp-content\/uploads\/2024\/04\/AI_2.jpg 1920w, https:\/\/bsicos.i3a.es\/wp-content\/uploads\/2024\/04\/AI_2-300x169.jpg 300w, https:\/\/bsicos.i3a.es\/wp-content\/uploads\/2024\/04\/AI_2-1024x576.jpg 1024w, https:\/\/bsicos.i3a.es\/wp-content\/uploads\/2024\/04\/AI_2-768x432.jpg 768w, https:\/\/bsicos.i3a.es\/wp-content\/uploads\/2024\/04\/AI_2-1536x864.jpg 1536w\" sizes=\"(max-width: 1920px) 100vw, 1920px\" alt=\"\" \t\tclass=\"so-widget-image\"\/>\n\t<\/div>\n\n<\/div><\/div><\/div><\/div><\/div>\n\n<div  class=\"ultp-post-grid-block wp-block-ultimate-post-post-grid-2 ultp-block-096334\"><div class=\"ultp-block-wrapper\"><div class=\"ultp-loading\"><div class=\"ultp-loading-blocks\" style=\"width:100%;height:100%;\"><div style=\"left: 0;top: 0;animation-delay:0s;\"><\/div><div style=\"left: 21px;top: 0;animation-delay:0.125s;\"><\/div><div style=\"left: 42px;top: 0;animation-delay:0.25s;\"><\/div><div style=\"left: 0;top: 21px;animation-delay:0.875s;\"><\/div><div style=\"left: 42px;top: 21px;animation-delay:0.375s;\"><\/div><div style=\"left: 0;top: 42px;animation-delay:0.75s;\"><\/div><div style=\"left: 42px;top: 42px;animation-delay:0.625s;\"><\/div><div style=\"left: 21px;top: 42px;animation-delay:0.5s;\"><\/div><\/div><\/div><div class=\"ultp-heading-filter\"><div class=\"ultp-heading-filter-in\"><div class=\"ultp-heading-wrap ultp-heading-style15 ultp-heading-left\"><h2 class=\"ultp-heading-inner\"><span>Investigator in charge<\/span><\/h2><\/div><\/div><\/div><div class=\"ultp-block-items-wrap ultp-block-row\"><div class=\"ultp-block-item post-id-5199\"><div class=\"ultp-block-content-wrap ultp-block-content-overlay\"><div class=\"ultp-block-image ultp-block-image-zoomIn ultp-block-image-overlay ultp-block-image-custom\"><a href=\"https:\/\/bsicos.i3a.es\/es\/juan-pablo-martinez-cortes\/\" ><img decoding=\"async\"  alt=\"Juan Pablo Mart\u00ednez Cort\u00e9s\"  src=\"https:\/\/bsicos.i3a.es\/wp-content\/uploads\/2020\/09\/Juan-Pablo-Martinez-WEB.jpg\" \/><\/a><\/div><div class=\"ultp-block-content ultp-block-content-bottomPosition\"><div class=\"ultp-block-content-inner\"><h3 class=\"ultp-block-title\"><a href=\"https:\/\/bsicos.i3a.es\/es\/juan-pablo-martinez-cortes\/\" >Juan Pablo Mart\u00ednez Cort\u00e9s<\/a><\/h3><\/div><\/div><\/div><\/div><div class=\"ultp-block-item post-id-5244\"><div class=\"ultp-block-content-wrap ultp-block-content-overlay\"><div class=\"ultp-block-image ultp-block-image-zoomIn ultp-block-image-overlay ultp-block-image-custom\"><a href=\"https:\/\/bsicos.i3a.es\/es\/julia-ramirez-garcia\/\" ><img decoding=\"async\"  alt=\"Julia Ram\u00edrez Garc\u00eda\"  src=\"https:\/\/bsicos.i3a.es\/wp-content\/uploads\/2022\/01\/Julia_Ramirez-Garcia.jpg\" \/><\/a><\/div><div class=\"ultp-block-content ultp-block-content-bottomPosition\"><div class=\"ultp-block-content-inner\"><h3 class=\"ultp-block-title\"><a href=\"https:\/\/bsicos.i3a.es\/es\/julia-ramirez-garcia\/\" >Julia Ram\u00edrez Garc\u00eda<\/a><\/h3><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"pagination-block-html\" aria-hidden=\"true\" style=\"display: none;\"><\/div><\/div>\n\n<div  class=\"ultp-post-grid-block wp-block-ultimate-post-post-grid-2 ultp-block-280a7e\"><div class=\"ultp-block-wrapper\"><div class=\"ultp-loading\"><div class=\"ultp-loading-blocks\" style=\"width:100%;height:100%;\"><div style=\"left: 0;top: 0;animation-delay:0s;\"><\/div><div style=\"left: 21px;top: 0;animation-delay:0.125s;\"><\/div><div style=\"left: 42px;top: 0;animation-delay:0.25s;\"><\/div><div style=\"left: 0;top: 21px;animation-delay:0.875s;\"><\/div><div style=\"left: 42px;top: 21px;animation-delay:0.375s;\"><\/div><div style=\"left: 0;top: 42px;animation-delay:0.75s;\"><\/div><div style=\"left: 42px;top: 42px;animation-delay:0.625s;\"><\/div><div style=\"left: 21px;top: 42px;animation-delay:0.5s;\"><\/div><\/div><\/div><div class=\"ultp-heading-filter\"><div class=\"ultp-heading-filter-in\"><div class=\"ultp-heading-wrap ultp-heading-style15 ultp-heading-left\"><h2 class=\"ultp-heading-inner\"><span>Proyectos<\/span><\/h2><\/div><\/div><\/div><div class=\"ultp-block-items-wrap ultp-block-row\"><div class=\"ultp-block-item post-id-6712\"><div class=\"ultp-block-content-wrap ultp-block-content-overlay\"><div class=\"ultp-block-image ultp-block-image-zoomIn\"><a href=\"https:\/\/bsicos.i3a.es\/es\/pid2023-148975ob-i00-sex-as-modulator-of-electrophysiological-abnormalities-leading-to-cardiovascular-risk-hormonecg\/\" ><img decoding=\"async\"  alt=\"PID2023-148975OB-I00: Sex as modulator of electrophysiological abnormalities leading to cardiovascular risk (HORMONECG)\"  src=\"https:\/\/bsicos.i3a.es\/wp-content\/uploads\/2022\/03\/Fondo-proyecto-870x570.png\" \/><\/a><\/div><div class=\"ultp-block-content ultp-block-content-middlePosition\"><div class=\"ultp-block-content-inner\"><h3 class=\"ultp-block-title\"><a href=\"https:\/\/bsicos.i3a.es\/es\/pid2023-148975ob-i00-sex-as-modulator-of-electrophysiological-abnormalities-leading-to-cardiovascular-risk-hormonecg\/\" >PID2023-148975OB-I00: Sex as modulator of electrophysiological abnormalities leading to cardiovascular risk (HORMONECG)<\/a><\/h3><\/div><\/div><\/div><\/div><div class=\"ultp-block-item post-id-6521\"><div class=\"ultp-block-content-wrap ultp-block-content-overlay\"><div class=\"ultp-block-image ultp-block-image-zoomIn\"><a href=\"https:\/\/bsicos.i3a.es\/es\/identification-of-strong-electrocardiographic-and-genetic-predictors-of-sudden-cardiac-death-risk-aided-by-artificial-intelligence-sudden-cns2023-143599\/\" ><img decoding=\"async\"  alt=\"Identification of strong electrocardiographic and genetic predictors of sudden cardiac death risk aided by artificial intelligence (SUDDEN): CNS2023-143599\"  src=\"https:\/\/bsicos.i3a.es\/wp-content\/uploads\/2022\/03\/Fondo-proyecto-870x570.png\" \/><\/a><\/div><div class=\"ultp-block-content ultp-block-content-middlePosition\"><div class=\"ultp-block-content-inner\"><h3 class=\"ultp-block-title\"><a href=\"https:\/\/bsicos.i3a.es\/es\/identification-of-strong-electrocardiographic-and-genetic-predictors-of-sudden-cardiac-death-risk-aided-by-artificial-intelligence-sudden-cns2023-143599\/\" >Identification of strong electrocardiographic and genetic predictors of sudden cardiac death risk aided by artificial intelligence (SUDDEN): CNS2023-143599<\/a><\/h3><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"pagination-block-html\" aria-hidden=\"true\" style=\"display: none;\"><\/div><\/div>\n\n<div  class=\"ultp-post-grid-block wp-block-ultimate-post-post-list-1 ultp-block-cf3ab0\"><div class=\"ultp-block-wrapper\"><div class=\"ultp-loading\"><div class=\"ultp-loading-blocks\" style=\"width:100%;height:100%;\"><div style=\"left: 0;top: 0;animation-delay:0s;\"><\/div><div style=\"left: 21px;top: 0;animation-delay:0.125s;\"><\/div><div style=\"left: 42px;top: 0;animation-delay:0.25s;\"><\/div><div style=\"left: 0;top: 21px;animation-delay:0.875s;\"><\/div><div style=\"left: 42px;top: 21px;animation-delay:0.375s;\"><\/div><div style=\"left: 0;top: 42px;animation-delay:0.75s;\"><\/div><div style=\"left: 42px;top: 42px;animation-delay:0.625s;\"><\/div><div style=\"left: 21px;top: 42px;animation-delay:0.5s;\"><\/div><\/div><\/div><div class=\"ultp-block-items-wrap ultp-block-row ultp-block-column-1 ultp-pl1a-style1 ultp-post-list1-layout1\"><div class=\"ultp-block-item post-id-6220\"><div class=\"ultp-block-content-wrap\"><div class=\"ultp-block-entry-content\"><div class=\"ultp-block-entry-heading\"><h3 class=\"ultp-block-title\"><a href=\"https:\/\/bsicos.i3a.es\/es\/development-of-accurate-and-physiologically-meaningful-digital-twins-of-vascular-hemodynamics-using-physics-informed-neural-networks-impulso-project\/\" >Development of accurate and physiologically meaningful digital twins of vascular hemodynamics using physics-informed neural networks (IMPULSO project)<\/a><\/h3><\/div><\/div><div class=\"ultp-block-content\"><\/div><\/div><\/div><\/div><\/div><div class=\"pagination-block-html\" aria-hidden=\"true\" style=\"display: none;\"><\/div><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":6359,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[279],"tags":[],"class_list":["post-6337","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-lineas-de-investigacion"],"_links":{"self":[{"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/posts\/6337","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/comments?post=6337"}],"version-history":[{"count":14,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/posts\/6337\/revisions"}],"predecessor-version":[{"id":6821,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/posts\/6337\/revisions\/6821"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/media\/6359"}],"wp:attachment":[{"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/media?parent=6337"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/categories?post=6337"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/tags?post=6337"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}