{"id":18520,"date":"2025-10-16T15:20:53","date_gmt":"2025-10-16T13:20:53","guid":{"rendered":"https:\/\/miuniversity.edu\/?p=18520"},"modified":"2025-10-16T15:20:53","modified_gmt":"2025-10-16T13:20:53","slug":"miu-publica-una-investigacion-sobre-el-potencial-de-la-ia-para-la-deteccion-temprana-del-alzheimer","status":"publish","type":"post","link":"https:\/\/miuniversity.edu\/es\/actualidad\/miu-publica-una-investigacion-sobre-el-potencial-de-la-ia-para-la-deteccion-temprana-del-alzheimer\/","title":{"rendered":"MIU publica una investigaci\u00f3n sobre el potencial de la IA para la detecci\u00f3n temprana del Alzheimer"},"content":{"rendered":"<section id=\"hero-post\" class=\"hero-post\">\n  <picture class=\"hero-post__bg\">\n    <!-- tatamiento horizontal -->\n    <source media=\"(orientation: landscape) and (min-width: 1024px)\" srcset=\"https:\/\/miuniversity.edu\/wp-content\/uploads\/2025\/10\/AdobeStock_635832570-scaled.jpeg\">\n    <!-- tatamiento vertical -->\n    <img decoding=\"async\" class=\"hero-post__img\" src=\"https:\/\/miuniversity.edu\/wp-content\/uploads\/2025\/10\/AdobeStock_635832570-scaled.jpeg\" alt=\"IA para la detecci\u00f3n temprana del Alzheimer\n\" title=\"\">\n    <noscript>\n      <img decoding=\"async\" src=\"https:\/\/miuniversity.edu\/wp-content\/uploads\/2025\/10\/AdobeStock_635832570-scaled.jpeg\" alt=\"IA para la detecci\u00f3n temprana del Alzheimer\n\" title=\"\">\n    <\/noscript>\n  <\/picture>\n  <div id=\"breadcrumbs\" class=\"breadcrumbs\">\n    <p class=\"container\">\n      <span>\n        <span>\n          <a href=\"https:\/\/miuniversity.edu\/es\/\" data-gtm-container=\"breadcrumb\" data-gtm-action=\"navigation\">\n            Home          <\/a>\n        <\/span>\n        &gt;\n        <span class=\"breadcrumb_last\" aria-current=\"page\">\n          <strong>MIU publica una investigaci\u00f3n sobre el potencial de la IA para la detecci\u00f3n temprana del Alzheimer<\/strong>\n        <\/span>\n      <\/span>\n    <\/p>\n  <\/div>\n  <h1 class=\"hero-post__title\">\n    MIU publica una investigaci\u00f3n sobre el potencial de la IA para la detecci\u00f3n temprana del Alzheimer  <\/h1>\n  <\/section>\n\n\n<p>Estamos orgullosos de anunciar la publicaci\u00f3n de una investigaci\u00f3n de MIU en la prestigiosa revista acad\u00e9mica <em>Applied Artificial Intelligence<\/em>.<\/p>\n\n\n\n<p>Esta publicaci\u00f3n es un testimonio directo de nuestro compromiso con el avance cient\u00edfico y de la calidad y el impacto de la investigaci\u00f3n, reafirmando el papel de MIU en la misi\u00f3n universitaria de contribuir activamente al progreso global.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Ciencia de datos al servicio de la salud<\/h2>\n\n\n\n<p>El art\u00edculo, titulado \u201c<a href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/08839514.2025.2565166\" target=\"_blank\" rel=\"noopener\">Automated Machine Learning Approach (AutoML) to Alzheimer\u2019s Disease Diagnosis and Prognosis<\/a>\u201d, aborda un desaf\u00edo cr\u00edtico: la detecci\u00f3n y predicci\u00f3n de la enfermedad de Alzheimer, una condici\u00f3n que <strong>afecta a millones de personas en todo el mundo<\/strong>.&nbsp;<\/p>\n\n\n\n<p>El estudio se centra en el uso de la Automatizaci\u00f3n del Aprendizaje Autom\u00e1tico (AutoAA), una rama de la Inteligencia Artificial (IA), para <strong>mejorar significativamente la precisi\u00f3n y la eficiencia en los diagn\u00f3sticos<\/strong>. En esencia, la investigaci\u00f3n busca optimizar las herramientas que ayudan a los m\u00e9dicos a identificar la enfermedad en sus etapas iniciales.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Analizando el poder predictivo de PyCaret<\/h2>\n\n\n\n<p>Seg\u00fan explican los autores del art\u00edculo, Pablo Guill\u00e9n y Enrique Frias-Martinez, la investigaci\u00f3n se centr\u00f3 en un an\u00e1lisis riguroso de PyCaret, una popular herramienta de AutoAA. El objetivo fue evaluar su rendimiento en la clasificaci\u00f3n y predicci\u00f3n del Alzheimer utilizando conjuntos de datos cl\u00ednicos.<\/p>\n\n\n\n<p>Si bien el Machine Learning ha demostrado ser un poderoso aliado en la medicina, a menudo el proceso de desarrollo de modelos es un obst\u00e1culo. Herramientas como PyCaret prometen<strong> democratizar la ciencia de datos<\/strong>, permitiendo la aplicaci\u00f3n de modelos sofisticados con mayor rapidez.<\/p>\n\n\n\n<p>Este trabajo de MIU es crucial porque eval\u00faa si esta facilidad de uso se traduce en una precisi\u00f3n diagn\u00f3stica s\u00f3lida en un campo tan sensible. Los hallazgos no solo validan el potencial de esta herramienta para acelerar la investigaci\u00f3n en neurociencia, sino que tambi\u00e9n allanan el camino para futuros sistemas de apoyo a la decisi\u00f3n m\u00e9dica que sean m\u00e1s r\u00e1pidos y accesibles.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Un reconocimiento a la excelencia investigadora<\/h2>\n\n\n\n<p>La publicaci\u00f3n de este art\u00edculo en una revista acad\u00e9mica de alto nivel es un reconocimiento a la excelencia, rigor, e innovaci\u00f3n que define a MIU City University Miami. Refleja nuestra capacidad para abordar problemas del mundo real y utilizar la tecnolog\u00eda de vanguardia para crear soluciones innovadoras.<\/p>\n\n\n\n<p>Este hito fortalece nuestra visi\u00f3n de ser un centro educativo que no solo ense\u00f1a para el futuro, sino que participa activamente en su construcci\u00f3n.<\/p>\n\n\n\n<p>Invitamos a toda la comunidad a conocer m\u00e1s sobre este estudio que promete impulsar la detecci\u00f3n temprana y mejorar el pron\u00f3stico de la enfermedad de Alzheimer.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Estamos orgullosos de anunciar la publicaci\u00f3n de una investigaci\u00f3n de MIU en la prestigiosa revista acad\u00e9mica Applied Artificial Intelligence. Esta [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":18514,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[17],"tags":[],"class_list":["post-18520","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-actualidad"],"acf":[],"_links":{"self":[{"href":"https:\/\/miuniversity.edu\/es\/wp-json\/wp\/v2\/posts\/18520"}],"collection":[{"href":"https:\/\/miuniversity.edu\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/miuniversity.edu\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/miuniversity.edu\/es\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/miuniversity.edu\/es\/wp-json\/wp\/v2\/comments?post=18520"}],"version-history":[{"count":1,"href":"https:\/\/miuniversity.edu\/es\/wp-json\/wp\/v2\/posts\/18520\/revisions"}],"predecessor-version":[{"id":18523,"href":"https:\/\/miuniversity.edu\/es\/wp-json\/wp\/v2\/posts\/18520\/revisions\/18523"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/miuniversity.edu\/es\/wp-json\/wp\/v2\/media\/18514"}],"wp:attachment":[{"href":"https:\/\/miuniversity.edu\/es\/wp-json\/wp\/v2\/media?parent=18520"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/miuniversity.edu\/es\/wp-json\/wp\/v2\/categories?post=18520"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/miuniversity.edu\/es\/wp-json\/wp\/v2\/tags?post=18520"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}