	{"id":294703,"date":"2024-12-16T17:16:23","date_gmt":"2024-12-16T17:16:23","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=blog&#038;p=294703"},"modified":"2025-01-09T14:12:03","modified_gmt":"2025-01-09T14:12:03","slug":"ai-breathes-new-life-into-clinical-trials-perspectives-and-challenges","status":"publish","type":"blog","link":"https:\/\/www.artefact.com\/es\/blog\/ai-breathes-new-life-into-clinical-trials-perspectives-and-challenges\/","title":{"rendered":"La IA insufla nueva vida a los ensayos cl\u00ednicos: Perspectivas y desaf\u00edos"},"content":{"rendered":"<p><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--link_color: var(--awb-color6);--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-background-color:var(--awb-color1);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1 description\" style=\"--awb-text-color:var(--awb-color5);--awb-text-font-family:&quot;PT Serif&quot;;--awb-text-font-style:normal;--awb-text-font-weight:400;\"><p>La inteligencia artificial est\u00e1 transformando el mundo de los ensayos cl\u00ednicos y promete reducir a la mitad los plazos de desarrollo de f\u00e1rmacos. Un reciente libro blanco de Artefact explora esta revoluci\u00f3n en curso, destacando las innovaciones que remodelan cada etapa del proceso, desde el dise\u00f1o del ensayo hasta el reclutamiento de pacientes.<\/p>\n<p>El documento ofrece una visi\u00f3n de un ecosistema din\u00e1mico en el que las startups, los gigantes tecnol\u00f3gicos y los laboratorios farmac\u00e9uticos est\u00e1n redefiniendo el futuro de la investigaci\u00f3n m\u00e9dica.<\/p>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--link_color: var(--awb-color6);--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-margin-top:40px;--awb-margin-bottom:40px;--awb-background-color:var(--awb-color1);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-center fusion-flex-justify-content-center fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_1 1_1 fusion-flex-column fusion-flex-align-self-center fusion-column-inner-bg-wrapper\" style=\"--awb-padding-top:20px;--awb-padding-right:20px;--awb-padding-bottom:20px;--awb-padding-left:20px;--awb-overflow:hidden;--awb-inner-bg-size:cover;--awb-border-color:rgba(10,17,40,0.1);--awb-border-top:1px;--awb-border-right:1px;--awb-border-bottom:1px;--awb-border-left:1px;--awb-border-style:solid;--awb-border-radius:4px 4px 4px 4px;--awb-inner-bg-border-radius:4px 4px 4px 4px;--awb-inner-bg-overflow:hidden;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\" data-scroll-devices=\"small-visibility,medium-visibility,large-visibility\"><span class=\"fusion-column-inner-bg hover-type-none\"><a class=\"fusion-column-anchor\" href=\"https:\/\/www.medtechfrance.fr\/actualites\/grand-angle\/lia-insuffle-un-nouveau-souffle-aux-essais-cliniques-perspectives-et-enjeux\/\" rel=\"noopener noreferrer\" target=\"_blank\"><span class=\"fusion-column-inner-bg-image\"><\/span><\/a><\/span><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-center fusion-content-layout-row fusion-flex-align-items-center\"><div class=\"fusion-text fusion-text-2\" style=\"--awb-text-color:var(--awb-color6);\"><p>Lea el art\u00edculo en<\/p>\n<\/div><div class=\"fusion-image-element\" style=\"--awb-margin-right:20px;--awb-margin-left:20px;--awb-max-width:150px;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\"fusion-imageframe imageframe-none imageframe-1 hover-type-none\"><a class=\"fusion-no-lightbox\" href=\"https:\/\/www.medtechfrance.fr\/\" target=\"_self\" aria-label=\"Logo Medtech France transparente\" rel=\"noopener\"><img decoding=\"async\" width=\"250\" height=\"80\" alt=\"Logo Medtech France transparent\" src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/Logo-Medtech-France-removebg-preview-1.png\" data-orig-src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/Logo-Medtech-France-removebg-preview-1.png\" class=\"lazyload img-responsive wp-image-294706\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27250%27%20height%3D%2780%27%20viewBox%3D%270%200%20250%2080%27%3E%3Crect%20width%3D%27250%27%20height%3D%2780%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/Logo-Medtech-France-removebg-preview-1-200x64.png 200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/Logo-Medtech-France-removebg-preview-1.png 250w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 640px) 100vw, 250px\" \/><\/a><\/span><\/div><\/div><\/div><\/div><\/div><article class=\"fusion-fullwidth fullwidth-box fusion-builder-row-3 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--link_color: var(--awb-color6);--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-background-color:var(--awb-color1);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-justify-content-center fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-2 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">C\u00f3mo la IA est\u00e1 remodelando el panorama de los ensayos cl\u00ednicos: un an\u00e1lisis de Artefact<\/h2><\/div><div class=\"fusion-text fusion-text-3\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>La industria farmac\u00e9utica est\u00e1 al borde de una gran revoluci\u00f3n en los ensayos cl\u00ednicos, impulsada por la artificial intelligence (IA). Un reciente libro blanco de Artefact, en colaboraci\u00f3n con AI for Health, explora c\u00f3mo la IA est\u00e1 transformando cada etapa del proceso de ensayo cl\u00ednico, desde el dise\u00f1o hasta el an\u00e1lisis de los resultados.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-2 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">Una oportunidad sin precedentes para acelerar el desarrollo de f\u00e1rmacos<\/h2><\/div><div class=\"fusion-text fusion-text-4\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>En un sector en el que el fracaso es la norma -con 9 de cada 10 candidatos a f\u00e1rmacos que fracasan durante los ensayos cl\u00ednicos- la IA presenta una oportunidad revolucionaria. Al reducir los plazos de desarrollo en varias semanas, la IA tiene el potencial de ahorrar millones a las empresas farmac\u00e9uticas, acelerar los avances cient\u00edficos y llevar terapias que salvan vidas a los pacientes m\u00e1s r\u00e1pido que nunca.<\/p>\n<\/div><div class=\"fusion-text fusion-text-5\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>La tasa actual de fracaso de los ensayos cl\u00ednicos de nuevos f\u00e1rmacos, desde la fase I hasta la aprobaci\u00f3n cl\u00ednica final, supera los 90%. Las principales razones de estos fracasos incluyen la falta de eficacia cl\u00ednica (40-50%), una toxicidad inmanejable (30%), unas propiedades deficientes del f\u00e1rmaco (10-15%) y la ausencia de necesidades comerciales o una mala planificaci\u00f3n estrat\u00e9gica (10%).<\/p>\n<\/div><div class=\"fusion-text fusion-text-6\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><blockquote>\n<div class=\"quote\">\u201cElegimos centrarnos en la IA y la IA generativa en la I+D farmac\u00e9utica por varias razones. En primer lugar, est\u00e1 suscitando un gran inter\u00e9s y aceleraci\u00f3n por parte de muchas partes interesadas. En segundo lugar, la IA y la I+D son temas estrat\u00e9gicos cruciales hoy en d\u00eda, con el potencial de reducir a la mitad la duraci\u00f3n de los ensayos cl\u00ednicos. Por \u00faltimo, es un tema muy actual, ya que muchos laboratorios ya est\u00e1n desplegando o planeando activar estos casos de uso.\u201d<\/div>\n<div class=\"quote-baseline\">dice Thomas Filaire, supervisor del libro blanco en Artefact para explicar las motivaciones del estudio<\/div>\n<\/blockquote>\n<\/div><div class=\"fusion-image-element\" style=\"text-align:center;--awb-margin-top:20px;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\"fusion-imageframe imageframe-none imageframe-2 hover-type-none\"><a class=\"fusion-no-lightbox\" href=\"https:\/\/www.medtechfrance.fr\/actualites\/grand-angle\/lia-insuffle-un-nouveau-souffle-aux-essais-cliniques-perspectives-et-enjeux\/\" target=\"_self\" aria-label=\"La IA insufla nueva vida a los ensayos cl\u00ednicos - 4 fases\" rel=\"noopener\"><img decoding=\"async\" width=\"1536\" height=\"1113\" alt=\"AI Breathes New Life into Clinical Trials - 4 phases\" src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-2-medtech.webp\" data-orig-src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-2-medtech.webp\" class=\"lazyload img-responsive wp-image-294707\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%271536%27%20height%3D%271113%27%20viewBox%3D%270%200%201536%201113%27%3E%3Crect%20width%3D%271536%27%20height%3D%271113%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-2-medtech-200x145.webp 200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-2-medtech-400x290.webp 400w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-2-medtech-600x435.webp 600w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-2-medtech-800x580.webp 800w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-2-medtech-1200x870.webp 1200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-2-medtech.webp 1536w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 640px) 100vw, 1536px\" \/><\/a><\/span><\/div><div class=\"fusion-title title fusion-title-3 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">La IA est\u00e1 redefiniendo cada paso del ciclo de vida de los ensayos cl\u00ednicos.<\/h2><\/div><div class=\"fusion-text fusion-text-7\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>El libro blanco de Artefact explora c\u00f3mo la IA est\u00e1 revolucionando las tres fases clave de los ensayos cl\u00ednicos:<\/p>\n<\/div><div class=\"fusion-image-element\" style=\"text-align:center;--awb-margin-top:20px;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\"fusion-imageframe imageframe-none imageframe-3 hover-type-none\"><a class=\"fusion-no-lightbox\" href=\"https:\/\/www.medtechfrance.fr\/actualites\/grand-angle\/lia-insuffle-un-nouveau-souffle-aux-essais-cliniques-perspectives-et-enjeux\/\" target=\"_self\" aria-label=\"La IA insufla nueva vida a los ensayos cl\u00ednicos - pasos\" rel=\"noopener\"><img decoding=\"async\" width=\"1415\" height=\"547\" alt=\"AI Breathes New Life into Clinical Trials - steps\" src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-3-medtech.webp\" data-orig-src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-3-medtech.webp\" class=\"lazyload img-responsive wp-image-294708\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%271415%27%20height%3D%27547%27%20viewBox%3D%270%200%201415%20547%27%3E%3Crect%20width%3D%271415%27%20height%3D%27547%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-3-medtech-200x77.webp 200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-3-medtech-400x155.webp 400w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-3-medtech-600x232.webp 600w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-3-medtech-800x309.webp 800w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-3-medtech-1200x464.webp 1200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-3-medtech.webp 1415w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 640px) 100vw, 1415px\" \/><\/a><\/span><\/div><div class=\"fusion-title title fusion-title-4 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">1. Dise\u00f1o del ensayo cl\u00ednico<\/h2><\/div><div class=\"fusion-text fusion-text-8\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>La IA optimiza el tradicionalmente largo y complejo proceso de dise\u00f1o de protocolos de ensayos cl\u00ednicos. Las innovaciones clave incluyen:<\/p>\n<\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-1 fusion-checklist-default type-icons\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Uso de modelos ling\u00fc\u00edsticos (LLM) para extraer r\u00e1pidamente la seguridad y la eficacia data de los res\u00famenes de los ensayos.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Predicci\u00f3n algor\u00edtmica del \u00e9xito de los ensayos, orientando los ajustes en el dise\u00f1o o centr\u00e1ndose en mol\u00e9culas m\u00e1s prometedoras.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Generar criterios de elegibilidad de los pacientes utilizando modelos como TrialGPT o AutoTrial.<\/p>\n<\/div><\/li><\/ul><div class=\"fusion-image-element\" style=\"text-align:center;--awb-margin-top:20px;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\"fusion-imageframe imageframe-none imageframe-4 hover-type-none\"><a class=\"fusion-no-lightbox\" href=\"https:\/\/www.medtechfrance.fr\/actualites\/grand-angle\/lia-insuffle-un-nouveau-souffle-aux-essais-cliniques-perspectives-et-enjeux\/\" target=\"_self\" aria-label=\"Presupuesto de Brice Miranda, Jefe del Grupo Data - SERVIER\" rel=\"noopener\"><img decoding=\"async\" width=\"1429\" height=\"696\" alt=\"Quotation of Brice Miranda, Group Chief Data Officer - SERVIER\" src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-4-medtech.webp\" data-orig-src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-4-medtech.webp\" class=\"lazyload img-responsive wp-image-294709\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%271429%27%20height%3D%27696%27%20viewBox%3D%270%200%201429%20696%27%3E%3Crect%20width%3D%271429%27%20height%3D%27696%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-4-medtech-200x97.webp 200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-4-medtech-400x195.webp 400w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-4-medtech-600x292.webp 600w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-4-medtech-800x390.webp 800w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-4-medtech-1200x584.webp 1200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-4-medtech.webp 1429w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 640px) 100vw, 1429px\" \/><\/a><\/span><\/div><div class=\"fusion-text fusion-text-9\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>Estos avances reducen significativamente el tiempo de dise\u00f1o de los ensayos, recort\u00e1ndolo a veces de varios meses a s\u00f3lo semanas. Por ejemplo:<\/p>\n<\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-2 fusion-checklist-default type-icons\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>La IA puede reducir los plazos de dise\u00f1o de protocolos cl\u00ednicos en una media de 30%.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Un algoritmo gen\u00e9tico utilizado en ensayos de bioequivalencia pedi\u00e1trica redujo el n\u00famero de puntos de recogida de muestras de sangre de 15 a 7, manteniendo la precisi\u00f3n farmacocin\u00e9tica.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>La IA puede acortar el tiempo necesario para analizar los res\u00famenes de ensayos cl\u00ednicos anteriores de varios meses a semanas.<\/p>\n<\/div><\/li><\/ul><div class=\"fusion-title title fusion-title-5 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">2. Reclutamiento e inclusi\u00f3n de pacientes<\/h2><\/div><div class=\"fusion-text fusion-text-10\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>La captaci\u00f3n de pacientes sigue siendo uno de los principales retos de los ensayos cl\u00ednicos. La IA ofrece soluciones innovadoras para:<\/p>\n<\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-3 fusion-checklist-default type-icons\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Predecir la probabilidad de que los pacientes abandonen el ensayo.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Optimizar la selecci\u00f3n de los centros de ensayos cl\u00ednicos.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Mejore los formularios de consentimiento de los pacientes.<\/p>\n<\/div><\/li><\/ul><div class=\"fusion-image-element\" style=\"text-align:center;--awb-margin-top:20px;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\"fusion-imageframe imageframe-none imageframe-5 hover-type-none\"><a class=\"fusion-no-lightbox\" href=\"https:\/\/www.medtechfrance.fr\/actualites\/grand-angle\/lia-insuffle-un-nouveau-souffle-aux-essais-cliniques-perspectives-et-enjeux\/\" target=\"_self\" aria-label=\"La IA da nueva vida a los ensayos cl\u00ednicos - Caso de uso en Johnson &amp; Johnson\" rel=\"noopener\"><img decoding=\"async\" width=\"1494\" height=\"1369\" alt=\"AI Breathes New Life into Clinical Trials - Johnson &amp; Johnson use case\" src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-5-medtech.webp\" data-orig-src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-5-medtech.webp\" class=\"lazyload img-responsive wp-image-294710\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%271494%27%20height%3D%271369%27%20viewBox%3D%270%200%201494%201369%27%3E%3Crect%20width%3D%271494%27%20height%3D%271369%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-5-medtech-200x183.webp 200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-5-medtech-400x367.webp 400w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-5-medtech-600x550.webp 600w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-5-medtech-800x733.webp 800w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-5-medtech-1200x1100.webp 1200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-5-medtech.webp 1494w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 640px) 100vw, 1494px\" \/><\/a><\/span><\/div><div class=\"fusion-text fusion-text-11\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>El impacto de la IA en la contrataci\u00f3n es significativo:<\/p>\n<\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-4 fusion-checklist-default type-icons\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>El tiempo dedicado a analizar los historiales m\u00e9dicos electr\u00f3nicos para identificar a los pacientes elegibles se reduce de 30 horas a 4 horas por paciente.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Un estudio de oncolog\u00eda pedi\u00e1trica mostr\u00f3 una reducci\u00f3n 90% de la carga de trabajo de reclutamiento.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Una herramienta de IA redujo el tiempo de selecci\u00f3n de 90 pacientes a s\u00f3lo una quinta parte del tiempo necesario manualmente.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Un estudio sobre el c\u00e1ncer de pulm\u00f3n demostr\u00f3 que un sistema de IA revisaba a 102 pacientes en s\u00f3lo 15,5 segundos con una precisi\u00f3n de elegibilidad del 91,6%.<\/p>\n<\/div><\/li><\/ul><div class=\"fusion-title title fusion-title-6 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">3. Ejecuci\u00f3n y gesti\u00f3n de ensayos cl\u00ednicos<\/h2><\/div><div class=\"fusion-text fusion-text-12\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>La IA est\u00e1 transformando la ejecuci\u00f3n y el an\u00e1lisis de los ensayos cl\u00ednicos gracias a varios avances:<\/p>\n<\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-5 fusion-checklist-default type-icons\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Gesti\u00f3n de la calidad basada en el riesgo (RBQM): La IA mejora la detecci\u00f3n de anomal\u00edas en tiempo real, lo que permite una intervenci\u00f3n m\u00e1s r\u00e1pida y una mayor integridad data.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Ensayos cl\u00ednicos descentralizados (ECA): Mejorar el compromiso de los participantes.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Descubrimiento de perspectivas mediante el an\u00e1lisis automatizado data.<\/p>\n<\/div><\/li><\/ul><div class=\"fusion-text fusion-text-13\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>Estas innovaciones impulsan la eficiencia, reducen los costes y agilizan todo el proceso de los ensayos cl\u00ednicos, acelerando el desarrollo de f\u00e1rmacos y mejorando los resultados.<\/p>\n<\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-6 fusion-checklist-default type-icons\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Una reducci\u00f3n de los costes de los ensayos cl\u00ednicos de hasta 25%<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Aceleraci\u00f3n del desarrollo de f\u00e1rmacos en 1-2 a\u00f1os.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p>Reducci\u00f3n del tiempo de redacci\u00f3n de informes, de 100 a 48 d\u00edas en algunos casos.<\/p>\n<\/div><\/li><\/ul><div class=\"fusion-text fusion-text-14\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>Estas innovaciones est\u00e1n remodelando el panorama de los ensayos cl\u00ednicos, haci\u00e9ndolos m\u00e1s r\u00e1pidos, eficaces y rentables.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-7 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">Un ecosistema de innovaci\u00f3n en expansi\u00f3n.<\/h2><\/div><div class=\"fusion-text fusion-text-15\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>El libro blanco destaca el papel fundamental que desempe\u00f1an diversas partes interesadas en el avance de las soluciones de IA para los ensayos cl\u00ednicos, con especial atenci\u00f3n a las startups innovadoras y a los gigantes tecnol\u00f3gicos l\u00edderes.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-8 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">Los gigantes tecnol\u00f3gicos que impulsan la innovaci\u00f3n.<\/h2><\/div><div class=\"fusion-text fusion-text-16\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>Gigantes tecnol\u00f3gicos como Google, Microsoft, IBM y Apple desempe\u00f1an un papel cada vez m\u00e1s vital en el avance de los ensayos cl\u00ednicos impulsados por la IA:<\/p>\n<\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-7 fusion-checklist-default type-icons\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Microsoft<\/strong> colabora con Novartis en su iniciativa AI for Health para identificar dise\u00f1os \u00f3ptimos de ensayos y predecir resultados. Esta asociaci\u00f3n se centra en el uso de la IA generativa para potenciar el dise\u00f1o de ensayos cl\u00ednicos y mejorar las predicciones de resultados en tiempo real.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>IBM Watson Salud<\/strong> analiza la literatura m\u00e9dica y el data de los ensayos para mejorar el dise\u00f1o de los protocolos y el reclutamiento de pacientes. Sus modelos generativos de IA se centran en grandes conjuntos de data para identificar patrones en la data cl\u00ednica, mejorando los protocolos de los ensayos y las estrategias de reclutamiento.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Verily (una filial de Alphabet)<\/strong> se centra en la captaci\u00f3n de pacientes y la gesti\u00f3n de ensayos con su plataforma Baseline. Esta plataforma utiliza la IA para recopilar y analizar la salud data de los voluntarios, lo que permite dise\u00f1ar ensayos cl\u00ednicos m\u00e1s inteligentes y personalizados.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><span style=\"font-weight: 400;\"><strong>Manzana<\/strong> ha recibido la aprobaci\u00f3n de la FDA para utilizar la herramienta de monitorizaci\u00f3n de la fibrilaci\u00f3n auricular de su Apple Watch en ensayos cl\u00ednicos. Esto marca la primera herramienta digital calificada bajo el programa de Herramientas de Desarrollo de Dispositivos M\u00e9dicos (MDDT), se\u00f1alando el potencial para reducir costos y mejorar el compromiso del paciente en la investigaci\u00f3n cl\u00ednica.<\/span><\/p>\n<\/div><\/li><\/ul><div class=\"fusion-text fusion-text-17\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><blockquote>\n<div class=\"quote\">\u201cEstamos pasando de un ecosistema sanitario reactivo a uno proactivo, casi predictivo\u201d.\u201d<\/div>\n<div class=\"quote-baseline\">subraya Shweta Maniar, Directora Global de Salud y Ciencias de la Vida en Google Cloud<\/div>\n<\/blockquote>\n<\/div><div class=\"fusion-text fusion-text-18\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>Este cambio refleja el impacto transformador de la IA en todo el proceso de los ensayos cl\u00ednicos.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-9 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">Startups, impulsando la innovaci\u00f3n en la investigaci\u00f3n cl\u00ednica.<\/h2><\/div><div class=\"fusion-text fusion-text-19\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>En el campo de la investigaci\u00f3n cl\u00ednica est\u00e1n surgiendo muchas empresas emergentes que ofrecen soluciones innovadoras para el dise\u00f1o de ensayos, la captaci\u00f3n de pacientes y la gesti\u00f3n de data. El libro blanco esboza un mapa de estos actores innovadores, organizados seg\u00fan las tres fases clave de los ensayos cl\u00ednicos:<\/p>\n<\/div><div class=\"fusion-title title fusion-title-10 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">1. Dise\u00f1o del ensayo cl\u00ednico:<\/h2><\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-8 fusion-checklist-default type-icons\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Florence Healthcare, Protocolos.io, Protrials.ai<\/strong>: Automatizaci\u00f3n de protocolos.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Perceiv AI, Seq'one:<\/strong> Optimizaci\u00f3n de los objetivos del ensayo.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Owkin, Medicina Insilico:<\/strong> Predicci\u00f3n de los resultados de los ensayos.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Desaprender.ai:<\/strong> Creaci\u00f3n de \u201cgemelos digitales\u201d de pacientes para predecir los resultados de los ensayos, reduciendo el n\u00famero de pacientes de control necesarios de 20% a 50%.<\/p>\n<\/div><\/li><\/ul><div class=\"fusion-image-element\" style=\"text-align:center;--awb-margin-top:20px;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\"fusion-imageframe imageframe-none imageframe-6 hover-type-none\"><a class=\"fusion-no-lightbox\" href=\"https:\/\/www.medtechfrance.fr\/actualites\/grand-angle\/lia-insuffle-un-nouveau-souffle-aux-essais-cliniques-perspectives-et-enjeux\/\" target=\"_self\" aria-label=\"La IA insufla nueva vida a los ensayos cl\u00ednicos - Dise\u00f1o de ensayos cl\u00ednicos\" rel=\"noopener\"><img decoding=\"async\" width=\"1431\" height=\"811\" alt=\"AI Breathes New Life into Clinical Trials - Clinical trial design\" src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-7-medtech.webp\" data-orig-src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-7-medtech.webp\" class=\"lazyload img-responsive wp-image-294711\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%271431%27%20height%3D%27811%27%20viewBox%3D%270%200%201431%20811%27%3E%3Crect%20width%3D%271431%27%20height%3D%27811%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-7-medtech-200x113.webp 200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-7-medtech-400x227.webp 400w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-7-medtech-600x340.webp 600w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-7-medtech-800x453.webp 800w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-7-medtech-1200x680.webp 1200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-7-medtech.webp 1431w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 640px) 100vw, 1431px\" \/><\/a><\/span><\/div><div class=\"fusion-title title fusion-title-11 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">2. Reclutamiento e inclusi\u00f3n de pacientes:<\/h2><\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-9 fusion-checklist-default type-icons\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Klineo, AsuntoBien:<\/strong> Inscripci\u00f3n en el ensayo cl\u00ednico.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Deep 6 AI, TrialSpark:<\/strong> Reclutamiento de pacientes. Estas empresas emergentes utilizan la IA para analizar los historiales m\u00e9dicos electr\u00f3nicos e identificar r\u00e1pidamente a los pacientes elegibles para los ensayos cl\u00ednicos.<\/p>\n<\/div><\/li><\/ul><div class=\"fusion-image-element\" style=\"text-align:center;--awb-margin-top:20px;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\"fusion-imageframe imageframe-none imageframe-7 hover-type-none\"><a class=\"fusion-no-lightbox\" href=\"https:\/\/www.medtechfrance.fr\/actualites\/grand-angle\/lia-insuffle-un-nouveau-souffle-aux-essais-cliniques-perspectives-et-enjeux\/\" target=\"_self\" aria-label=\"La IA da nueva vida a los ensayos cl\u00ednicos - Ejecuci\u00f3n y gesti\u00f3n - Captaci\u00f3n e inscripci\u00f3n de pacientes\" rel=\"noopener\"><img decoding=\"async\" width=\"1423\" height=\"462\" alt=\"AI Breathes New Life into Clinical Trials - Patient recruitment and enrollment\" src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-8-medtech.webp\" data-orig-src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-8-medtech.webp\" class=\"lazyload img-responsive wp-image-294712\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%271423%27%20height%3D%27462%27%20viewBox%3D%270%200%201423%20462%27%3E%3Crect%20width%3D%271423%27%20height%3D%27462%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-8-medtech-200x65.webp 200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-8-medtech-400x130.webp 400w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-8-medtech-600x195.webp 600w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-8-medtech-800x260.webp 800w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-8-medtech-1200x390.webp 1200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-8-medtech.webp 1423w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 640px) 100vw, 1423px\" \/><\/a><\/span><\/div><div class=\"fusion-text fusion-text-20\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><blockquote>\n<div class=\"quote\">\u201cMenos del 5% de los pacientes se benefician de los ensayos cl\u00ednicos oncol\u00f3gicos, mientras que el 70% afirman que estar\u00edan dispuestos a participar si se les diera la oportunidad. Existe una clara necesidad de mejorar el emparejamiento entre pacientes y ensayos, y los recientes avances de la IA lo hacen posible.\u201d<\/div>\n<div class=\"quote-baseline\">destaca como cuesti\u00f3n cr\u00edtica Thomas Peyresblanques, cofundador y director general de Klineo<\/div>\n<\/blockquote>\n<\/div><div class=\"fusion-title title fusion-title-12 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">3. Ejecuci\u00f3n y gesti\u00f3n de los ensayos:<\/h2><\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-10 fusion-checklist-default type-icons\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Lynxcare:<\/strong> data gesti\u00f3n<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>AiCure, Castor:<\/strong> ensayos descentralizados y seguimiento de pacientes. AiCure utiliza la IA para realizar un seguimiento de la adherencia de los pacientes a los tratamientos y proporciona informaci\u00f3n en tiempo real a los centros de ensayo.<\/p>\n<\/div><\/li><\/ul><div class=\"fusion-image-element\" style=\"text-align:center;--awb-margin-top:20px;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\"fusion-imageframe imageframe-none imageframe-8 hover-type-none\"><a class=\"fusion-no-lightbox\" href=\"https:\/\/www.medtechfrance.fr\/actualites\/grand-angle\/lia-insuffle-un-nouveau-souffle-aux-essais-cliniques-perspectives-et-enjeux\/\" target=\"_self\" aria-label=\"La IA da nueva vida a los ensayos cl\u00ednicos - ejecuci\u00f3n y gesti\u00f3n\" rel=\"noopener\"><img decoding=\"async\" width=\"1413\" height=\"487\" alt=\"AI Breathes New Life into Clinical Trials - execution and management\" src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-9-medtech.webp\" data-orig-src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-9-medtech.webp\" class=\"lazyload img-responsive wp-image-294713\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%271413%27%20height%3D%27487%27%20viewBox%3D%270%200%201413%20487%27%3E%3Crect%20width%3D%271413%27%20height%3D%27487%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-9-medtech-200x69.webp 200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-9-medtech-400x138.webp 400w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-9-medtech-600x207.webp 600w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-9-medtech-800x276.webp 800w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-9-medtech-1200x414.webp 1200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/photo-9-medtech.webp 1413w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 640px) 100vw, 1413px\" \/><\/a><\/span><\/div><div class=\"fusion-text fusion-text-21\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><blockquote>\n<div class=\"quote\">\u201cCon s\u00f3lo 4% de ensayos que incluyen una poblaci\u00f3n representativa, Inato ayuda a los patrocinadores a reclutar pacientes el doble de r\u00e1pido, aumentando la diversidad a 67% de participantes no blancos, frente a una media anterior de 15%\u201d.\u201d<\/div>\n<div class=\"quote-baseline\">explica Kourosh Davarpanah, cofundador y director general de Inato, destacando el impacto de su soluci\u00f3n<\/div>\n<\/blockquote>\n<\/div><div class=\"fusion-text fusion-text-22\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>Esto refleja el potencial de la IA para mejorar el reclutamiento y la inclusi\u00f3n en los ensayos cl\u00ednicos.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-13 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-text-color:var(--awb-color6);--awb-margin-bottom-small:8px;--awb-font-size:30px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"font-family:&quot;PT Serif&quot;;font-style:normal;font-weight:700;margin:0;letter-spacing:1.6px;font-size:1em;--fontSize:30;line-height:1.47;\">Retos a superar<\/h2><\/div><div class=\"fusion-text fusion-text-23\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>A pesar de los prometedores avances, siguen existiendo retos en cuanto a la adopci\u00f3n de la IA en los ensayos cl\u00ednicos:<\/p>\n<\/div><ul style=\"--awb-line-height:27.2px;--awb-icon-width:27.2px;--awb-icon-height:27.2px;--awb-icon-margin:11.2px;--awb-content-margin:38.4px;\" class=\"fusion-checklist fusion-checklist-11 fusion-checklist-default type-icons\"><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Regulaci\u00f3n y Protecci\u00f3n Data:<\/strong> Las autoridades sanitarias deben adaptar los marcos normativos para incorporar las nuevas tecnolog\u00edas de IA al tiempo que garantizan la seguridad de los pacientes. Charlotte Pouchy, consejera delegada de DEEMEA, se\u00f1ala: \u201cLa normativa europea es estricta, pero puede servir de ventaja al actuar como barrera de entrada para las empresas que no la cumplen.\u201d Europa se est\u00e1 posicionando como un regulador clave, haciendo hincapi\u00e9 en la seguridad de los ciudadanos en el uso de la IA.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Acceso a Data e interoperabilidad:<\/strong> Brice Miranda, Director del Grupo Data de Servier, subraya: \u201cEl intercambio global de data es crucial para el avance de la investigaci\u00f3n, pero a menudo se ve obstaculizado por barreras legales, de confidencialidad y de competencia, as\u00ed como por la falta de adhesi\u00f3n a est\u00e1ndares y formatos comunes de data.\u201d Este reto es especialmente importante en el caso de las enfermedades raras, donde la limitaci\u00f3n de data hace que la colaboraci\u00f3n sea a\u00fan m\u00e1s esencial.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Sesgo y generalizaci\u00f3n:<\/strong>Los modelos de IA deben entrenarse con conjuntos representativos de data para evitar sesgos y garantizar que los resultados sean generalizables a poblaciones diversas. Esto plantea un reto \u00e9tico importante, ya que los sesgos en el entrenamiento del data pueden dar lugar a resultados sesgados y no reproducibles. Abordar este reto es fundamental para garantizar que los ensayos cl\u00ednicos impulsados por la IA proporcionen resultados precisos y equitativos para todos los grupos de pacientes.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Transparencia y explicabilidad:<\/strong> La naturaleza de \u201ccaja negra\u201d de muchos modelos de IA plantea problemas \u00e9ticos y de confianza, sobre todo en los ensayos cl\u00ednicos, donde la precisi\u00f3n de las predicciones es crucial. Es esencial explicar c\u00f3mo toman decisiones los modelos de IA para ganarse la confianza de las partes interesadas. Sin transparencia, el uso de la IA en los ensayos cl\u00ednicos puede verse limitado, ya que los organismos reguladores y los pacientes necesitan comprender el fundamento de las decisiones para garantizar la fiabilidad y la confianza en la tecnolog\u00eda.<\/p>\n<\/div><\/li><li class=\"fusion-li-item\" style=\"\"><span class=\"icon-wrapper circle-no\"><i class=\"fusion-li-icon awb-icon-check\" aria-hidden=\"true\"><\/i><\/span><div class=\"fusion-li-item-content\">\n<p><strong>Ciberseguridad y privacidad data:<\/strong> La protecci\u00f3n de los Data sigue siendo una de las principales preocupaciones en el uso de la IA para los ensayos cl\u00ednicos. Para garantizar la seguridad de los data de los pacientes son necesarias medidas de ciberseguridad s\u00f3lidas y una autenticaci\u00f3n multifactorial.<\/p>\n<\/div><\/li><\/ul><div class=\"fusion-text fusion-text-24\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p>En conclusi\u00f3n, la IA ofrece oportunidades sin precedentes para revolucionar los ensayos cl\u00ednicos, pero su adopci\u00f3n generalizada requiere abordar estos complejos retos. La colaboraci\u00f3n entre las startups, los gigantes tecnol\u00f3gicos, las empresas farmac\u00e9uticas y los organismos reguladores ser\u00e1 esencial para aprovechar plenamente el potencial de la IA y garantizar al mismo tiempo la seguridad y la \u00e9tica de los ensayos cl\u00ednicos.<\/p>\n<\/div><div class=\"fusion-text fusion-text-25\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p><em>(1) : Zhang, B., Zhang, L., Chen, Q. et al. Aprovechamiento del artificial intelligence para mejorar el dise\u00f1o de los ensayos cl\u00ednicos. Commun Med 3, 191 (2023). https:\/\/doi.org\/10.1038\/s43856-023-00425-3<\/em><\/p>\n<\/div><div class=\"fusion-text fusion-text-26\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p><em>(2) : Tsuchiwata S, Tsuji Y. Dise\u00f1o computacional de ensayos cl\u00ednicos mediante una combinaci\u00f3n de simulaci\u00f3n y algoritmo gen\u00e9tico. CPT Pharmacometrics Syst Pharmacol. 2023 abr;12(4):522-531. doi: 10.1002\/psp4.12944. Epub 2023 Mar 5. PMID: 36793239; PMCID: PMC10088085.<\/em><\/p>\n<\/div><div class=\"fusion-text fusion-text-27\" style=\"--awb-font-size:20px;--awb-line-height:1.6;--awb-letter-spacing:var(--awb-typography4-letter-spacing);--awb-text-transform:var(--awb-typography4-text-transform);--awb-text-color:var(--awb-color5);--awb-text-font-family:var(--awb-typography4-font-family);--awb-text-font-weight:var(--awb-typography4-font-weight);--awb-text-font-style:var(--awb-typography4-font-style);\"><p><em>(4) : Ismail A, Al-Zoubi T, El Naqa I, Saeed H. El papel de la artificial intelligence en la aceleraci\u00f3n del tiempo de reclutamiento en los ensayos cl\u00ednicos. BJR Open. 2023 Mayo 16;5(1):20220023. doi: 10.1259\/bjro.20220023. PMID: 37953865; PMCID: PMC10636341.<\/em><\/p>\n<\/div><\/div><\/div><\/div><\/article><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-4 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--link_color: var(--awb-color6);--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-margin-top:40px;--awb-margin-bottom:40px;--awb-background-color:var(--awb-color1);--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-center fusion-flex-justify-content-center fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-3 fusion_builder_column_1_1 1_1 fusion-flex-column fusion-flex-align-self-center fusion-column-inner-bg-wrapper\" style=\"--awb-padding-top:20px;--awb-padding-right:20px;--awb-padding-bottom:20px;--awb-padding-left:20px;--awb-overflow:hidden;--awb-inner-bg-size:cover;--awb-border-color:rgba(10,17,40,0.1);--awb-border-top:1px;--awb-border-right:1px;--awb-border-bottom:1px;--awb-border-left:1px;--awb-border-style:solid;--awb-border-radius:4px 4px 4px 4px;--awb-inner-bg-border-radius:4px 4px 4px 4px;--awb-inner-bg-overflow:hidden;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\" data-scroll-devices=\"small-visibility,medium-visibility,large-visibility\"><span class=\"fusion-column-inner-bg hover-type-none\"><a class=\"fusion-column-anchor\" href=\"https:\/\/www.medtechfrance.fr\/actualites\/grand-angle\/lia-insuffle-un-nouveau-souffle-aux-essais-cliniques-perspectives-et-enjeux\/\" rel=\"noopener noreferrer\" target=\"_blank\"><span class=\"fusion-column-inner-bg-image\"><\/span><\/a><\/span><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-center fusion-content-layout-row fusion-flex-align-items-center\"><div class=\"fusion-text fusion-text-28\" style=\"--awb-text-color:var(--awb-color6);\"><p>Lea el art\u00edculo en<\/p>\n<\/div><div class=\"fusion-image-element\" style=\"--awb-margin-right:20px;--awb-margin-left:20px;--awb-max-width:150px;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\"fusion-imageframe imageframe-none imageframe-9 hover-type-none\"><a class=\"fusion-no-lightbox\" href=\"https:\/\/www.medtechfrance.fr\/actualites\/grand-angle\/lia-insuffle-un-nouveau-souffle-aux-essais-cliniques-perspectives-et-enjeux\/\" target=\"_self\" aria-label=\"Logo Medtech France transparente\" rel=\"noopener\"><img decoding=\"async\" width=\"250\" height=\"80\" alt=\"Logo Medtech France transparent\" src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/Logo-Medtech-France-removebg-preview-1.png\" data-orig-src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/Logo-Medtech-France-removebg-preview-1.png\" class=\"lazyload img-responsive wp-image-294706\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27250%27%20height%3D%2780%27%20viewBox%3D%270%200%20250%2080%27%3E%3Crect%20width%3D%27250%27%20height%3D%2780%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/Logo-Medtech-France-removebg-preview-1-200x64.png 200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/12\/Logo-Medtech-France-removebg-preview-1.png 250w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 640px) 100vw, 250px\" \/><\/a><\/span><\/div><div class=\"fusion-text fusion-text-29\"><p>.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/p>","protected":false},"excerpt":{"rendered":"<p>La inteligencia artificial est\u00e1 transformando el mundo de los ensayos cl\u00ednicos y promete reducir a la mitad los plazos de desarrollo de los medicamentos. <\/p>","protected":false},"featured_media":294705,"parent":0,"template":"","meta":{"_acf_changed":false,"ep_exclude_from_search":false},"blog-category":[22035],"blog-language":[2991],"class_list":["post-294703","blog","type-blog","status-publish","has-post-thumbnail","hentry","blog-category-data-ai-consulting","blog-language-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.artefact.com\/es\/wp-json\/wp\/v2\/blog\/294703","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artefact.com\/es\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.artefact.com\/es\/wp-json\/wp\/v2\/types\/blog"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artefact.com\/es\/wp-json\/wp\/v2\/media\/294705"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/es\/wp-json\/wp\/v2\/media?parent=294703"}],"wp:term":[{"taxonomy":"blog-category","embeddable":true,"href":"https:\/\/www.artefact.com\/es\/wp-json\/wp\/v2\/blog-category?post=294703"},{"taxonomy":"blog-language","embeddable":true,"href":"https:\/\/www.artefact.com\/es\/wp-json\/wp\/v2\/blog-language?post=294703"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}