{"id":14901,"date":"2025-06-03T11:14:30","date_gmt":"2025-06-03T11:14:30","guid":{"rendered":"https:\/\/ceb.edu.es\/diploma-avanzado-en-ia-aplicada-a-la-oncologia\/"},"modified":"2026-03-25T00:41:26","modified_gmt":"2026-03-25T00:41:26","slug":"diploma-avanzado-en-ia-aplicada-a-la-oncologia","status":"publish","type":"page","link":"https:\/\/ceb.edu.es\/en\/diploma-avanzado-en-ia-aplicada-a-la-oncologia\/","title":{"rendered":"Advanced Diploma in AI Applied to Oncology"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mbnjqw9t-93336821adfd959ca9e7d4444ed959f6\">\n.avia-section.av-mbnjqw9t-93336821adfd959ca9e7d4444ed959f6 .av-parallax .av-parallax-inner{\nbackground-repeat:no-repeat;\nbackground-image:url(https:\/\/ceb.edu.es\/wp-content\/uploads\/2025\/06\/AdobeStock_417250193-21dsa.webp);\nbackground-position:0% 0%;\nbackground-attachment:scroll;\n}\n.avia-section.av-mbnjqw9t-93336821adfd959ca9e7d4444ed959f6 .av-section-color-overlay{\nopacity:0.1;\nbackground-color:#ff5900;\n}\n<\/style>\n<div id='av_section_1'  class='avia-section av-mbnjqw9t-93336821adfd959ca9e7d4444ed959f6 main_color avia-section-default avia-no-border-styling  avia-builder-el-0  el_before_av_section  avia-builder-el-first  av-parallax-section avia-bg-style-parallax av-section-color-overlay-active container_wrap fullsize'  data-section-bg-repeat='no-repeat'><div class='av-parallax' data-avia-parallax-ratio='0.3' ><div class='av-parallax-inner main_color avia-full-stretch'><\/div><\/div><div class=\"av-section-color-overlay-wrap\"><div class=\"av-section-color-overlay\"><\/div><div class='container av-section-cont-open' ><main  role=\"main\" itemprop=\"mainContentOfPage\"  class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-14901'><div class='entry-content-wrapper clearfix'>\n<section  class='av_textblock_section av-mbnjmyib-df2112c761fdf8af2a76f7aa53f86227 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock blanco-text'  itemprop=\"text\" ><h2 class=\"blanco-text\">Advanced Diploma in AI Applied to Oncology<\/h2>\n<p><strong><span class=\"naranja-ceb-text\">Why specialize in Artificial Intelligence?<\/span><\/strong><\/p>\n<p>Over the next three years, the industry will require <strong>more than 90,000 professionals<\/strong> with expertise in data science and artificial intelligence.<\/p>\n<p>Artificial Intelligence has become an essential tool in the field of oncology, enabling:<\/p>\n<ul>\n<li>Format: online<\/li>\n<li>Duration: 20 weeks \/ 100 hours<\/li>\n<li>Start date: 01\/12\/2025<\/li>\n<li>Price: 1.840 \u20ac (discounts for CEB alumni)<\/li>\n<\/ul>\n<p>Limited spaces &#8211; reserve yours as soon as possible!<\/p>\n<\/div><\/section>\n<div  class='avia-button-wrap av-mbnk4ozk-bd6e39dc0e609dd642cc67f143e142c1-wrap avia-button-left  avia-builder-el-2  el_after_av_textblock  avia-builder-el-last '>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mbnk4ozk-bd6e39dc0e609dd642cc67f143e142c1\">\n#top #wrap_all .avia-button.av-mbnk4ozk-bd6e39dc0e609dd642cc67f143e142c1{\nbackground-color:#ff5900;\nborder-color:#ff5900;\ntransition:all 0.4s ease-in-out;\n}\n#top #wrap_all .avia-button.av-mbnk4ozk-bd6e39dc0e609dd642cc67f143e142c1:hover{\ncolor:white;\ntransition:all 0.4s ease-in-out;\n}\n#top #wrap_all .avia-button.av-mbnk4ozk-bd6e39dc0e609dd642cc67f143e142c1:hover .avia-svg-icon svg:first-child{\nfill:white;\nstroke:white;\n}\n<\/style>\n<a href='https:\/\/ceb.edu.es\/en\/contact\/'  class='avia-button av-mbnk4ozk-bd6e39dc0e609dd642cc67f143e142c1 av-link-btn avia-icon_select-no avia-size-small avia-position-left avia-font-color-theme-color'   aria-label=\"Request for information\"><span class='avia_iconbox_title' >Request for information<\/span><span class='avia_button_background avia-button avia-color-theme-color-highlight' ><\/span><\/a><\/div>\n<\/div><\/div><\/main><!-- close content main element --><\/div><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mbofn1fr-05f63c7072546494fb4cca4f6d06bc71\">\n.avia-section.av-mbofn1fr-05f63c7072546494fb4cca4f6d06bc71{\nbackground-color:#111013;\nbackground-image:unset;\n}\n<\/style>\n<div id='av_section_2'  class='avia-section av-mbofn1fr-05f63c7072546494fb4cca4f6d06bc71 main_color avia-section-default avia-no-border-styling  avia-builder-el-3  el_after_av_section  el_before_av_section  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-14901'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mbofq4wz-263ebafec45d68b3b2fd39a592ed21f9\">\n#top .av_textblock_section.av-mbofq4wz-263ebafec45d68b3b2fd39a592ed21f9 .avia_textblock{\ncolor:#ffffff;\n}\n<\/style>\n<section  class='av_textblock_section av-mbofq4wz-263ebafec45d68b3b2fd39a592ed21f9 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock av_inherit_color'  itemprop=\"text\" ><p><span class=\"naranja-ceb-text\">STEP BY STEP<\/span><\/p>\n<h2><span class=\"naranja-ceb-text\">Why<\/span> study AI applied to Oncology?<\/h2>\n<p style=\"text-align: center;\">Studying an advanced diploma around Artificial Intelligence (AI) and seeing its application in oncology will allow you to:<\/p>\n<\/div><\/section>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mbofy3ud-7d149cfffe14c1250260dda275a78a19\">\n.avia-content-slider-element-container.av-mbofy3ud-7d149cfffe14c1250260dda275a78a19{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-content-slider-element-container av-mbofy3ud-7d149cfffe14c1250260dda275a78a19 avia-content-slider-element-slider avia-content-slider avia-smallarrow-slider avia-content-slider-active avia-content-slider-even  avia-builder-el-5  el_after_av_textblock  avia-builder-el-last  av-slideshow-ui av-control-default av-no-slider-navigation av-slideshow-autoplay av-loop-endless av-loop-manual-endless av_inherit_color avia-content-slider1' data-slideshow-options=\"{&quot;animation&quot;:&quot;slide&quot;,&quot;autoplay&quot;:true,&quot;loop_autoplay&quot;:&quot;endless&quot;,&quot;interval&quot;:100,&quot;loop_manual&quot;:&quot;manual-endless&quot;,&quot;autoplay_stopper&quot;:false,&quot;noNavigation&quot;:false,&quot;bg_slider&quot;:false,&quot;transitionSpeed&quot;:3000,&quot;keep_padding&quot;:&quot;&quot;,&quot;hoverpause&quot;:false,&quot;show_slide_delay&quot;:30}\"><div class='avia-smallarrow-slider-heading  no-content-slider-heading '><div class='new-special-heading'>&nbsp;<\/div><div class='avia-slideshow-arrows avia-slideshow-controls' ><a href='#prev' class='prev-slide  avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='left-open-big' data-av_iconset='svg_entypo-fontello' tabindex='-1' title=\"Previous\"><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" aria-labelledby='av-svg-title-2' aria-describedby='av-svg-desc-2' role=\"graphics-symbol\" aria-hidden=\"true\">\n<title id='av-svg-title-2'>Previous<\/title>\n<desc id='av-svg-desc-2'>Previous<\/desc>\n<path d=\"M14.464 27.84q0.832 0.832 0 1.536-0.832 0.832-1.536 0l-12.544-12.608q-0.768-0.768 0-1.6l12.544-12.608q0.704-0.832 1.536 0 0.832 0.704 0 1.536l-11.456 11.904z\"><\/path>\n<\/svg><span class='avia_hidden_link_text'>Previous<\/span><\/a><a href='#next' class='next-slide  avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello' tabindex='-1' title=\"Next\"><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" aria-labelledby='av-svg-title-3' aria-describedby='av-svg-desc-3' role=\"graphics-symbol\" aria-hidden=\"true\">\n<title id='av-svg-title-3'>Next<\/title>\n<desc id='av-svg-desc-3'>Next<\/desc>\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><span class='avia_hidden_link_text'>Next<\/span><\/a><\/div><\/div><div class=\"avia-content-slider-inner\"><div class=\"slide-entry-wrap\"><section class='slide-entry av-mbofwal4-74b1ef769dbc8e84f005eda1ed666ccc flex_column av_one_fourth post-entry slide-entry-overview slide-loop-1 slide-parity-odd  first'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >Revolution in diagnosis and treatment<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p><strong>Revolution in diagnosis and treatment<\/strong><br \/>\n<strong>Revolution in early cancer detection<\/strong><\/p>\n<p>Artificial intelligence is transforming oncology by improving the accuracy of early tumor detection, both through advanced analysis of medical images, such as mammograms, ultrasound scans, CT scans and MRI scans, and through the accurate identification and interpretation of biomarkers. Thanks to AI, it is possible to identify subtle patterns that might go unnoticed by the human eye, significantly increasing early detection rates.<\/p>\n<\/div><\/section><section class='slide-entry av-mbofwndl-be5d3799ec92b77f173729d98ce89ef6 flex_column av_one_fourth post-entry slide-entry-overview slide-loop-2 slide-parity-even  '  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >Optimization of biomedical research<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p><strong>Optimization of biomedical research<\/strong><br \/>\n<strong>Personalization of cancer treatments<\/strong><br \/>\nAI allows the analysis of large volumes of clinical, genetic and molecular data to design personalized treatments, adapted to the genetic and molecular profile of each patient. This helps to optimize therapies, reducing side effects and improving treatment efficacy and thus life expectancy and quality of life.<\/p>\n<\/div><\/section><section class='slide-entry av-mbofxd71-4eb787bef53e45d0a89f4130b0b6f124 flex_column av_one_fourth post-entry slide-entry-overview slide-loop-3 slide-parity-odd  '  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >Optimization of clinical decision making<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p><strong>Optimizing clinical decision making<\/strong><br \/>\nAI algorithms facilitate the interpretation of complex oncology data, providing healthcare professionals with evidence-based decision support tools. This translates into more accurate diagnoses that enable molecular subclassification of tumors, more effective treatment plans based on personalized medicine, and improved resource and time management.<\/p>\n<\/div><\/section><section class='slide-entry av-mbofxna1-495f9fb78cafffce8d6415fc4064ef3e flex_column av_one_fourth post-entry slide-entry-overview slide-loop-4 slide-parity-even  '  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >Accelerating research in oncology<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p><strong>Accelerating oncology research<\/strong><br \/>\nArtificial intelligence enables the analysis and correlation of large biomedical databases and biobanks, accelerating the discovery of new biomarkers and the development of new therapeutic strategies. In addition, AI contributes to the identification of patterns in clinical trial data, helping to predict responses with greater accuracy.<\/p>\n<\/div><\/section><\/div><div class=\"slide-entry-wrap\"><section class='slide-entry av-mbofy1p5-c1825f0da3824cbecc9be7fe7e397a8e flex_column av_one_fourth post-entry slide-entry-overview slide-loop-5 slide-parity-odd  post-entry-last  first'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >Un campo con alta demanda y proyecci\u00f3n profesional<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p><strong>A field with high demand and professional projection<br \/>\n<\/strong>The combination of AI and oncology is booming, generating a high demand for professionals capable of integrating these technologies into clinical and research practice. Training in this field offers a competitive advantage in the labor market and the opportunity to contribute to the improvement of oncology care at a global level.<\/p>\n<\/div><\/section><\/div><\/div><\/div>\n<\/p>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mbog6xv6-d319d895a9ecf5a4bc35f413877db087\">\n.avia-section.av-mbog6xv6-d319d895a9ecf5a4bc35f413877db087{\nbackground-color:#f5f5f5;\nbackground-image:unset;\n}\n<\/style>\n<div id='av_section_3'  class='avia-section av-mbog6xv6-d319d895a9ecf5a4bc35f413877db087 main_color avia-section-default avia-no-border-styling  avia-builder-el-6  el_after_av_section  avia-builder-el-last  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-14901'><div class='entry-content-wrapper clearfix'>\n<section  class='av_textblock_section av-mbog388i-49d7229062a00f163f7f3fe72f5f9473 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p>MISSION<\/p>\n<h2>What you <span class=\"naranja-ceb-text\">will learn<\/span><\/h2>\n<\/div><\/section>\n<div  class='tabcontainer av-mbog6mgs-3b46470b06365ba70a41b545ae16627e top_tab  avia-builder-el-8  el_after_av_textblock  el_before_av_textblock '>\n<section class='av_tab_section av_tab_section av-mbog62uk-c5b7cbb36eb2db7b7a766ef6e40f55ee'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div id='tab-id-1-tab' class='tab active_tab' role='tab' aria-selected=\"true\" tabindex=\"0\" data-fake-id='#tab-id-1' aria-controls='tab-id-1-content'  itemprop=\"headline\" >Program objectives<\/div><div id='tab-id-1-content' class='tab_content active_tab_content' role='tabpanel' aria-labelledby='tab-id-1-tab' aria-hidden=\"false\"><div class='tab_inner_content invers-color'  itemprop=\"text\" ><ul>\n<li>Explore the impact of AI on cancer detection and diagnosis, understanding how advanced image analysis techniques and clinical data can improve the accuracy and early detection of cancer.<\/li>\n<li>To understand the personalization of treatments through AI, analyzing how predictive models can optimize therapeutic decisions and improve the patient&#8217;s quality of life.<\/li>\n<li>Learn to apply clinical and molecular data analysis techniques, using AI tools to identify patterns, biomarkers and trends that facilitate data-driven medical decision making.<\/li>\n<li>Implement AI solutions in clinical and oncology research environments, optimizing data management, process automation and clinical trial analysis to improve efficiency.<\/li>\n<li>Develop skills in biomedical data preprocessing and modeling, applying machine learning and deep learning algorithms to address specific challenges in oncology, such as relapse prediction or molecular subclassification of tumors.<\/li>\n<\/ul>\n<\/div><\/div><\/section>\n<section class='av_tab_section av_tab_section av-mbog6l41-e0da2dc24062c8bd4f0a6bba31ddcbee'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div id='tab-id-2-tab' class='tab' role='tab' aria-selected=\"false\" tabindex=\"0\" data-fake-id='#tab-id-2' aria-controls='tab-id-2-content'  itemprop=\"headline\" >Agenda<\/div><div id='tab-id-2-content' class='tab_content' role='tabpanel' aria-labelledby='tab-id-2-tab' aria-hidden=\"true\"><div class='tab_inner_content invers-color'  itemprop=\"text\" ><ul>\n<li>Fundamentals of AI<\/li>\n<li>Areas of AI<\/li>\n<li>AI in diagnosis, prognosis, and data analysis in Oncology<\/li>\n<li>AI in personalized medicine and oncology research<\/li>\n<li>Ethics and regulation of AI<\/li>\n<\/ul>\n<\/div><\/div><\/section>\n<\/div>\n<section  class='av_textblock_section av-mbog9amq-6741427a380f8a8f61f0e575da60d523 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2>Our Experts<\/h2>\n<p>These modules are taught by prestigious experts in the application of AI to oncology. Among them, we would like to highlight: Fernando Mart\u00edn, PhD in Computer Science and Medicine, Deputy Manager of Medical Informatics, Digital Strategy and Innovation at La Paz University Hospital; Jes\u00fas Garc\u00eda Foncillas, MD, specialist in Medical Oncology, Director of the Translational Oncology Division at the FJD-UAM Health Research Institute; Nuria Malats, Head of the Genetic and Molecular Epidemiology Group at the Spanish National Cancer Research Center; Manuel Rodr\u00edguez Justo, specialist in Gastrointestinal Pathology and Hematopathology at UCLH and Professor of Pathology at the UCL Cancer Institute.<\/p>\n<\/div><\/section>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mbogbqkv-7ae7bdbe9c2d400ced795e15a5b6ab62\">\n.avia-content-slider-element-container.av-mbogbqkv-7ae7bdbe9c2d400ced795e15a5b6ab62 .slide-entry{\nbox-shadow: 0px 0px 0px 0px ;\n}\n<\/style>\n<div  class='avia-content-slider-element-container av-mbogbqkv-7ae7bdbe9c2d400ced795e15a5b6ab62 avia-content-slider-element-slider avia-content-slider avia-smallarrow-slider avia-content-slider-active avia-content-slider-even  avia-builder-el-10  el_after_av_textblock  avia-builder-el-last  diploma-ia-expertos av-slideshow-ui av-control-default av-no-slider-navigation av-slideshow-autoplay av-loop-endless av-loop-manual-endless avia-content-slider2' data-slideshow-options=\"{&quot;animation&quot;:&quot;slide&quot;,&quot;autoplay&quot;:true,&quot;loop_autoplay&quot;:&quot;endless&quot;,&quot;interval&quot;:100,&quot;loop_manual&quot;:&quot;manual-endless&quot;,&quot;autoplay_stopper&quot;:false,&quot;noNavigation&quot;:false,&quot;bg_slider&quot;:false,&quot;transitionSpeed&quot;:2000,&quot;keep_padding&quot;:&quot;&quot;,&quot;hoverpause&quot;:false,&quot;show_slide_delay&quot;:30}\"><div class='avia-smallarrow-slider-heading  no-content-slider-heading '><div class='new-special-heading'>&nbsp;<\/div><div class='avia-slideshow-arrows avia-slideshow-controls' ><a href='#prev' class='prev-slide  avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='left-open-big' data-av_iconset='svg_entypo-fontello' tabindex='-1' title=\"Previous\"><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" aria-labelledby='av-svg-title-4' aria-describedby='av-svg-desc-4' role=\"graphics-symbol\" aria-hidden=\"true\">\n<title id='av-svg-title-4'>Previous<\/title>\n<desc id='av-svg-desc-4'>Previous<\/desc>\n<path d=\"M14.464 27.84q0.832 0.832 0 1.536-0.832 0.832-1.536 0l-12.544-12.608q-0.768-0.768 0-1.6l12.544-12.608q0.704-0.832 1.536 0 0.832 0.704 0 1.536l-11.456 11.904z\"><\/path>\n<\/svg><span class='avia_hidden_link_text'>Previous<\/span><\/a><a href='#next' class='next-slide  avia-svg-icon avia-font-svg_entypo-fontello' data-av_svg_icon='right-open-big' data-av_iconset='svg_entypo-fontello' tabindex='-1' title=\"Next\"><svg version=\"1.1\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"15\" height=\"32\" viewBox=\"0 0 15 32\" preserveAspectRatio=\"xMidYMid meet\" aria-labelledby='av-svg-title-5' aria-describedby='av-svg-desc-5' role=\"graphics-symbol\" aria-hidden=\"true\">\n<title id='av-svg-title-5'>Next<\/title>\n<desc id='av-svg-desc-5'>Next<\/desc>\n<path d=\"M0.416 27.84l11.456-11.84-11.456-11.904q-0.832-0.832 0-1.536 0.832-0.832 1.536 0l12.544 12.608q0.768 0.832 0 1.6l-12.544 12.608q-0.704 0.832-1.536 0-0.832-0.704 0-1.536z\"><\/path>\n<\/svg><span class='avia_hidden_link_text'>Next<\/span><\/a><\/div><\/div><div class=\"avia-content-slider-inner\"><div class=\"slide-entry-wrap\"><section class='slide-entry av-mboge3op-d041bb54a3ea7b04335a17e426923c55 flex_column av_one_fourth post-entry slide-entry-overview slide-loop-1 slide-parity-odd  first'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >EDUARDO CASTA\u00d1\u00d3N<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p style=\"text-align: center;\"><img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/tepinstitute.com\/wp-content\/uploads\/2025\/02\/Imagen4-e1738687237245.jpg\" alt=\"EDUARDO CASTA\u00d1\u00d3N\" title=\"The specialist in Medical Oncology graduated in Medicine from the University of Navarra in 2009 and completed his residency in Medical Oncology at the Cl\u00ednica Universidad de Navarra (2010-2015), obtaining in 2013 the ESMO MORA certificate. In 2015, he obtained his PhD in Medicine from the same university, focusing his research in translational oncology. Between 2015 and 2017, he was Clinical Fellow at the Department of Therapeutic Innovation and Early Trials (DITEP) at the Gustave Roussy Institute, under the direction of Professor JC Soria, gaining experience in innovative treatments and clinical trials. In addition, he has complemented his training with a Master in Biostatistics (UAB, 2016-2020), a Master in Molecular Oncology (URJC, 2018-2019) and a Master in Big Data Science (UNAV, 2021-2022), specializing in data analysis applied to oncology and personalized medicine.\"> <strong title=\"The specialist in Medical Oncology graduated in Medicine from the University of Navarra in 2009 and completed his residency in Medical Oncology at the Cl\u00ednica Universidad de Navarra (2010-2015), obtaining in 2013 the ESMO MORA certificate. In 2015, he obtained his PhD in Medicine from the same university, focusing his research in translational oncology. Between 2015 and 2017, he was Clinical Fellow at the Department of Therapeutic Innovation and Early Trials (DITEP) at the Gustave Roussy Institute, under the direction of Professor JC Soria, gaining experience in innovative treatments and clinical trials. In addition, he has complemented his training with a Master in Biostatistics (UAB, 2016-2020), a Master in Molecular Oncology (URJC, 2018-2019) and a Master in Big Data Science (UNAV, 2021-2022), specializing in data analysis applied to oncology and personalized medicine.\">EDUARDO CASTA\u00d1\u00d3N<\/strong><br \/>\n<span class=\"naranja-ceb-text-bold\">Specialist in Medical Oncology, Cl\u00ednica Universidad de Navarra.<\/span><\/p>\n<\/div><\/section><section class='slide-entry av-mboge3op-7-f92bf7aa65a4d57c17b292dd89b151c7 flex_column av_one_fourth post-entry slide-entry-overview slide-loop-2 slide-parity-even  '  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >FERNANDO MART\u00cdN S\u00c1NCHEZ<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p style=\"text-align: center;\"><img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/tepinstitute.com\/wp-content\/uploads\/2025\/02\/Imagen3-e1738686893699.jpg\" title=\"Dr. Fernando Mart\u00edn-S\u00e1nchez has been Deputy Manager of Medical Informatics, Digital Strategy and Innovation at the Hospital Universitario La Paz in Madrid since June 2023. He has spent much of his career at the Instituto de Salud Carlos III, where he held key positions in medical informatics, bioinformatics and digital health. He has been Professor of Health Informatics at Weill Cornell Medicine (Cornell University, USA) and at the University of Melbourne (Australia). He has a PhD in Computer Science and Medicine, with a background in biochemistry, molecular biology and knowledge engineering. He was the first Deputy Director General for Artificial Intelligence at SEDIA (2020) and is a member of prestigious international institutions such as ACMI and ACHI. With more than 200 scientific publications and 40 research projects led, his work has been key in the intersection between artificial intelligence, medical informatics and health innovation.\"> <strong title=\"Dr. Fernando Mart\u00edn-S\u00e1nchez has been Deputy Manager of Medical Informatics, Digital Strategy and Innovation at the Hospital Universitario La Paz in Madrid since June 2023. He has spent much of his career at the Instituto de Salud Carlos III, where he held key positions in medical informatics, bioinformatics and digital health. He has been Professor of Health Informatics at Weill Cornell Medicine (Cornell University, USA) and at the University of Melbourne (Australia). He has a PhD in Computer Science and Medicine, with a background in biochemistry, molecular biology and knowledge engineering. He was the first Deputy Director General for Artificial Intelligence at SEDIA (2020) and is a member of prestigious international institutions such as ACMI and ACHI. With more than 200 scientific publications and 40 research projects led, his work has been key in the intersection between artificial intelligence, medical informatics and health innovation.\">FERNANDO MART\u00cdN S\u00c1NCHEZ<\/strong><br \/>\n<span class=\"naranja-ceb-text-bold\">Deputy Manager of Medical Informatics, Digital Strategy and Innovation at Hospital Universitario La Paz, Madrid.<\/span><\/p>\n<\/div><\/section><section class='slide-entry av-mboge3op-6-030ecfc92cccae1c5bbb499525d8bbb7 flex_column av_one_fourth post-entry slide-entry-overview slide-loop-3 slide-parity-odd  '  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >JES\u00daS GARC\u00cdA FONCILLAS<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p style=\"text-align: center;\"><img decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/tepinstitute.com\/wp-content\/uploads\/2025\/02\/Imagen2-1-e1738686611899.jpg\" alt=\"JES\u00daS GARC\u00cdA FONCILLAS\" title=\"Renowned oncologist, director of the OncoHealth Oncology Institute and the Department of Oncology at the Fundaci\u00f3n Jim\u00e9nez D\u00edaz. With a degree in Medicine from the University of Zaragoza, he specialized in Medical Oncology and obtained his PhD at the University of Navarra, completing his training at the MD Anderson Cancer Center in Houston. He has directed key areas at the Cl\u00ednica Universidad de Navarra and has been professor of the Master in Biotechnology at CSIC. His research focuses on the clinical application of prognostic and predictive biomarkers in oncology. He has held relevant positions in organizations such as ASEICA, SEFF and SEOM, and has chaired the Mediterranean Oncology Society since 2012. He has received awards such as the \" la=\"\" raz=\"\" al=\"\" mejor=\"\" investigador=\"\" en=\"\" y=\"\" es=\"\" miembro=\"\" de=\"\" real=\"\" academia=\"\" medicina=\"\" zaragoza.=\"\" con=\"\" m=\"\" publicaciones=\"\" cient=\"\" su=\"\" contribuci=\"\" a=\"\" oncolog=\"\" traslacional=\"\" ampliamente=\"\" reconocida.=\"\"> <strong title=\"Renowned oncologist, director of the OncoHealth Oncology Institute and the Department of Oncology at the Fundaci\u00f3n Jim\u00e9nez D\u00edaz. With a degree in Medicine from the University of Zaragoza, he specialized in Medical Oncology and obtained his PhD at the University of Navarra, completing his training at the MD Anderson Cancer Center in Houston. He has directed key areas at the Cl\u00ednica Universidad de Navarra and has been professor of the Master in Biotechnology at CSIC. His research focuses on the clinical application of prognostic and predictive biomarkers in oncology. He has held relevant positions in organizations such as ASEICA, SEFF and SEOM, and has chaired the Mediterranean Oncology Society since 2012. He has received awards such as the\" la=\"\" raz=\"\" al=\"\" mejor=\"\" investigador=\"\" en=\"\" y=\"\" es=\"\" miembro=\"\" de=\"\" real=\"\" academia=\"\" medicina=\"\" zaragoza.=\"\" con=\"\" m=\"\" publicaciones=\"\" cient=\"\" su=\"\" contribuci=\"\" a=\"\" oncolog=\"\" traslacional=\"\" ampliamente=\"\" reconocida.=\"\">JES\u00daS GARC\u00cdA FONCILLAS<\/strong><br \/>\n<span class=\"naranja-ceb-text-bold\">Director of the Oncology Institute &#8220;OncoHealth&#8221;.<\/span><\/p>\n<\/div><\/section><section class='slide-entry av-mboge3op-5-2f8eb0ceae6dcf6872a114693716409a flex_column av_one_fourth post-entry slide-entry-overview slide-loop-4 slide-parity-even  '  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >CRISTINA HERNANDO MELI\u00c1<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p style=\"text-align: center;\"><img decoding=\"async\" class=\"aligncenter\" title=\"She works in the breast cancer unit of the Instituto Valenciano de Oncolog\u00eda M\u00e9dica. Previously, she has worked at the Hospital Cl\u00ednico de Valencia, in the Breast Cancer Biology Group, integrating clinical practice with translational research in phase I to III clinical trials focused on targeted therapies as sub-investigator and principal investigator. In addition, she has worked as principal investigator in the European projects REBECCA and MELIORA, which incorporate digital tools and artificial intelligence to improve the quality of life of patients.\" src=\"\/wp-content\/uploads\/2025\/06\/experto4.webp\" alt=\"CRISTINA HERNANDO MELI\u00c1\"> <strong title=\"She works in the breast cancer unit of the Instituto Valenciano de Oncolog\u00eda M\u00e9dica. Previously, she has worked at the Hospital Cl\u00ednico de Valencia, in the Breast Cancer Biology Group, integrating clinical practice with translational research in phase I to III clinical trials focused on targeted therapies as sub-investigator and principal investigator. In addition, she has worked as principal investigator in the European projects REBECCA and MELIORA, which incorporate digital tools and artificial intelligence to improve the quality of life of patients.\">CRISTINA HERNANDO MELI\u00c1<\/strong><br \/>\n<span class=\"naranja-ceb-text-bold\">Medical Oncology Specialist, Breast Cancer Unit, Instituto Valenciano de Oncolog\u00eda (IVO).<\/span><\/p>\n<\/div><\/section><\/div><div class=\"slide-entry-wrap\"><section class='slide-entry av-mboge3op-4-9f670182eb08f5074dcd3292219e0715 flex_column av_one_fourth post-entry slide-entry-overview slide-loop-5 slide-parity-odd  first'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >MANUEL RODR\u00cdGUEZ JUSTO<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p style=\"text-align: center;\"><img decoding=\"async\" class=\"aligncenter\" src=\"\/wp-content\/uploads\/2025\/06\/MANUEL_RODRIGUEZ_JUSTO.webp\" alt=\"MANUEL RODR\u00cdGUEZ JUSTO\" title=\"He has led the 100K Genomes Project (NHS). His line of research focuses on tumor heterogeneity studies and quantification of genomic and proteomic targets using digital image analysis. He collaborates with industry in the development of AI applications oriented to digital pathology.\"> <strong title=\"He has led the 100K Genomes Project (NHS). His line of research focuses on tumor heterogeneity studies and quantification of genomic and proteomic targets using digital image analysis. He collaborates with industry in the development of AI applications oriented to digital pathology.\">MANUEL RODR\u00cdGUEZ JUSTO<\/strong><br \/>\n<span class=\"naranja-ceb-text-bold\">Specialist in gastrointestinal pathology and hematopathology at UCLH and professor of pathology at UCL-Cancer Institute.<\/span><\/p>\n<\/div><\/section><section class='slide-entry av-mboge3op-3-875d124b9357934ac3593b67e8f54a8e flex_column av_one_fourth post-entry slide-entry-overview slide-loop-6 slide-parity-even  '  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >NURIA MALATS<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p style=\"text-align: center;\"><img decoding=\"async\" class=\"aligncenter\" src=\"\/wp-content\/uploads\/2025\/06\/nuria_malats.webp\" alt=\"NURIA MALATS\" title=\"D. from the Autonomous University of Barcelona. During her PhD, she performed experimental and epidemiological work on the association of K-ras mutations with both environmental exposure and clinical outcomes in pancreatic cancer. Since 1997, she is co-PI of the Spanish Bladder Cancer Study \/EPICURO, a large case-control study on bladder cancer that integrates scientific interests from different disciplines in both cancer development and progression. She has worked as a scientist at the Center for Research in Environmental Epidemiology (CREAL-IMIM), leading and participating in national and international projects. She has coordinated and participated in teaching activities in undergraduate and postgraduate courses in several Spanish universities. She has more than 100 publications and is an external reviewer for national and international funding agencies and first level scientific journals. She is also a member of the Scientific Council of the European Society of Urological Research (ESUR), and of the European Association of Urology Foundation Research.\"> <strong title=\"D. from the Autonomous University of Barcelona. During her PhD, she performed experimental and epidemiological work on the association of K-ras mutations with both environmental exposure and clinical outcomes in pancreatic cancer. Since 1997, she is co-PI of the Spanish Bladder Cancer Study \/EPICURO, a large case-control study on bladder cancer that integrates scientific interests from different disciplines in both cancer development and progression. She has worked as a scientist at the Center for Research in Environmental Epidemiology (CREAL-IMIM), leading and participating in national and international projects. She has coordinated and participated in teaching activities in undergraduate and postgraduate courses in several Spanish universities. She has more than 100 publications and is an external reviewer for national and international funding agencies and first level scientific journals. She is also a member of the Scientific Council of the European Society of Urological Research (ESUR), and of the European Association of Urology Foundation Research.\">NURIA MALATS<\/strong><br \/>\n<span class=\"naranja-ceb-text-bold\">Head of the Genetic and Molecular Epidemiology Group, Centro Nacional de Investigaciones Oncol\u00f3gicas.<\/span><\/p>\n<\/div><\/section><section class='slide-entry av-mboge3op-2-23b0b1f11ab8d364e8d11a75de625f46 flex_column av_one_fourth post-entry slide-entry-overview slide-loop-7 slide-parity-odd  '  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >\u00d3SCAR PELLICER<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p style=\"text-align: center;\"><img decoding=\"async\" class=\"aligncenter\" src=\"\/wp-content\/uploads\/2025\/06\/oscar_pellicer.webp\" alt=\"\u00d3SCAR PELLICER\" title=\"Industrial and computer engineer, during his PhD he worked in the field of prostate cancer diagnosis through medical image analysis with Deep Learning and Artificial Intelligence (AI), receiving for his work the extraordinary prize of the UV, and the award for best thesis in AI of the Valencian Community. Throughout his research career he has published more than 70 articles in scientific journals, applying statistics and AI to all kinds of medical problems.\"> <strong title=\"Industrial and computer engineer, during his PhD he worked in the field of prostate cancer diagnosis through medical image analysis with Deep Learning and Artificial Intelligence (AI), receiving for his work the extraordinary prize of the UV, and the award for best thesis in AI of the Valencian Community. Throughout his research career he has published more than 70 articles in scientific journals, applying statistics and AI to all kinds of medical problems.\">\u00d3SCAR PELLICER<\/strong><br \/>\n<span class=\"naranja-ceb-text-bold\">Professor and Researcher at the University of Valencia (UV)<\/span><\/p>\n<\/div><\/section><section class='slide-entry av-mboge3op-1-74f8ea8daa3b302757f702ea9b862546 flex_column av_one_fourth post-entry slide-entry-overview slide-loop-8 slide-parity-even  post-entry-last  '  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><h3 class='slide-entry-title entry-title '  itemprop=\"headline\" >LUIS MART\u00cd BONMAT\u00cd<\/h3><div class='slide-entry-excerpt entry-content'  itemprop=\"text\" ><p style=\"text-align: center;\"><img decoding=\"async\" class=\"aligncenter\" src=\"\/wp-content\/uploads\/2025\/06\/DR.-MARTI.webp\" alt=\"LUIS MART\u00cd BONMAT\u00cd\" title=\"Currently, he is the Director of the Clinical Area of Medical Imaging of the Hospital Universitario y Polit\u00e9cnico La Fe in Valencia, and also Head of the Radiology Service of the Hospital Quir\u00f3n in Valencia12. He has held important positions in various scientific societies, such as the Spanish Society of Radiology (SERAM), where he was president between 2008 and 20101. His work has been recognized with multiple awards and distinctions, including the Gold Medal of SERAM in 2014.\"> <strong title=\"Currently, he is the Director of the Clinical Area of Medical Imaging of the Hospital Universitario y Polit\u00e9cnico La Fe in Valencia, and also Head of the Radiology Service of the Hospital Quir\u00f3n in Valencia12. He has held important positions in various scientific societies, such as the Spanish Society of Radiology (SERAM), where he was president between 2008 and 20101. His work has been recognized with multiple awards and distinctions, including the Gold Medal of SERAM in 2014.\">LUIS MART\u00cd BONMAT\u00cd<\/strong><br \/>\n<span class=\"naranja-ceb-text-bold\">Bachelor and Doctor in Medicine and specialist in radiology.<\/span><\/p>\n<\/div><\/section><\/div><\/div><\/div>\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-14901","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ceb.edu.es\/en\/wp-json\/wp\/v2\/pages\/14901","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ceb.edu.es\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ceb.edu.es\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ceb.edu.es\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ceb.edu.es\/en\/wp-json\/wp\/v2\/comments?post=14901"}],"version-history":[{"count":5,"href":"https:\/\/ceb.edu.es\/en\/wp-json\/wp\/v2\/pages\/14901\/revisions"}],"predecessor-version":[{"id":14906,"href":"https:\/\/ceb.edu.es\/en\/wp-json\/wp\/v2\/pages\/14901\/revisions\/14906"}],"wp:attachment":[{"href":"https:\/\/ceb.edu.es\/en\/wp-json\/wp\/v2\/media?parent=14901"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}