{"id":292748,"date":"2024-11-29T17:39:43","date_gmt":"2024-11-29T17:39:43","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=blog&#038;p=292748"},"modified":"2024-11-29T17:40:27","modified_gmt":"2024-11-29T17:40:27","slug":"unleashing-the-power-of-ai-in-clinical-trials-key-insights-from-pfizer-and-artefact-ai-for-health-summit","status":"publish","type":"blog","link":"https:\/\/www.artefact.com\/es\/blog\/unleashing-the-power-of-ai-in-clinical-trials-key-insights-from-pfizer-and-artefact-ai-for-health-summit\/","title":{"rendered":"Liberar el poder de la IA en los ensayos cl\u00ednicos: Ideas clave de PFIZER y ARTEFACT - Cumbre sobre IA para la salud"},"content":{"rendered":"<p><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 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-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>Cumbre de la IA para la Salud - Edici\u00f3n 2024<\/p>\n<p>Principales conclusiones de la mesa redonda \u201cLiberar el poder de la IA en los ensayos cl\u00ednicos\u201d con Luca Mollo, Vicepresidente, Director M\u00e9dico Francia, M.D. en Pfizer, Thomas Filaire, Socio en Artefact, y L\u00e9a Giroulet, Senior Data Consultant en Artefact.<\/p>\n<\/div><\/div><\/div><\/div><\/div><article class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 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-1 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-video fusion-youtube\" style=\"--awb-max-width:670px;--awb-max-height:377px;--awb-align-self:center;--awb-width:100%;--awb-margin-bottom:20px;\"><div class=\"video-shortcode\"><div class=\"fluid-width-video-wrapper\" style=\"padding-top:56.27%;\" ><iframe title=\"Reproductor de video de YouTube 1\" src=\"https:\/\/www.youtube.com\/embed\/I5BStBQD9lU?wmode=transparent&autoplay=0\" width=\"670\" height=\"377\" allowfullscreen allow=\"autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;\"><\/iframe><\/div><\/div><\/div><div class=\"fusion-text fusion-text-2\" 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 debate gir\u00f3 en torno al papel transformador de la IA en los ensayos cl\u00ednicos, apoyado por las ideas de Pfizer y Artefact, y destacado en su libro blanco de colaboraci\u00f3n. Se expusieron casos de uso concretos, el mapeo del ecosistema y los retos que plantea la ampliaci\u00f3n de las innovaciones en IA.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-2 fusion_builder_column_1_2 1_2 fusion-flex-column fusion-flex-align-self-center\" style=\"--awb-bg-size:cover;--awb-width-large:50%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:50%;--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\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-image-element\" style=\"--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:\/\/marketing.artefact.com\/l\/597421\/2024-11-18\/j37wkz\" target=\"_self\" aria-label=\"Sanidad ebook 2024 - GIF\" rel=\"noopener\"><img decoding=\"async\" width=\"700\" height=\"404\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%27700%27%20height%3D%27404%27%20viewBox%3D%270%200%20700%20404%27%3E%3Crect%20width%3D%27700%27%20height%3D%27404%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-orig-src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2024\/11\/Healthcare-ebook-2024-GIF-1.gif\" alt class=\"lazyload img-responsive wp-image-292750\"\/><\/a><\/span><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-3 fusion_builder_column_1_2 1_2 fusion-flex-column fusion-flex-align-self-center\" style=\"--awb-bg-size:cover;--awb-width-large:50%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:50%;--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\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div ><a class=\"fusion-button button-flat fusion-button-default-size button-default fusion-button-default button-1 fusion-button-default-span fusion-button-default-type\" target=\"_self\" href=\"https:\/\/marketing.artefact.com\/l\/597421\/2024-11-18\/j37wkz\" rel=\"noopener\"><span class=\"fusion-button-text awb-button__text awb-button__text--default\">Descargar el informe<\/span><\/a><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-4 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;\">Motivaci\u00f3n de Artefact para el libro blanco<\/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>Artefact identific\u00f3 una creciente demanda de IA en I+D, impulsada por su potencial para acortar la duraci\u00f3n de los ensayos cl\u00ednicos hasta en 50%, acelerar el suministro de terapias innovadoras y garantizar la competitividad de las empresas farmac\u00e9uticas. Los casos de uso explorados en el libro blanco ya se est\u00e1n aplicando o integrando en las estrategias a medio plazo de las partes interesadas.<\/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;\">El uso de la IA en el descubrimiento de f\u00e1rmacos por parte de Pfizer<\/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>Pfizer aprovecha la IA para analizar conjuntos de data, identificar dianas farmacol\u00f3gicas, predecir la eficacia y optimizar el desarrollo. Por ejemplo, durante la pandemia de COVID-19, la IA permiti\u00f3 a Pfizer reducir el cribado de mol\u00e9culas de 3 millones a 600, acelerando el desarrollo de un f\u00e1rmaco antiv\u00edrico oral de cuatro a\u00f1os a cuatro meses. Adem\u00e1s, la IA facilit\u00f3 nuevas metodolog\u00edas como los ensayos cl\u00ednicos descentralizados y la monitorizaci\u00f3n a distancia, ayudando a reducir los plazos medios de desarrollo de f\u00e1rmacos de 8,6 a\u00f1os en 2019 a 4,8 a\u00f1os en 2022.<\/p>\n<\/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;\">Fases clave de los ensayos cl\u00ednicos<\/h2><\/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>El libro blanco divide la cadena de valor de los ensayos cl\u00ednicos en tres fases: dise\u00f1o, captaci\u00f3n de pacientes y ejecuci\u00f3n. Para el dise\u00f1o del ensayo, los modelos de lenguaje amplio (LLM) extraen la seguridad y la eficacia data de ensayos anteriores, agilizando los protocolos de estudio. La captaci\u00f3n de pacientes se beneficia de los modelos de IA que analizan los datos demogr\u00e1ficos y el historial m\u00e9dico para predecir las tasas de abandono, garantizando la continuidad del ensayo. La ejecuci\u00f3n y la gesti\u00f3n mejoran gracias al procesamiento data impulsado por la IA, lo que reduce el tiempo necesario para la generaci\u00f3n de informes y su presentaci\u00f3n a las autoridades reguladoras.<\/p>\n<\/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;\">Avances en la gesti\u00f3n cl\u00ednica data<\/h2><\/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);\"><p>La IA automatiza tareas laboriosas como la limpieza, el procesamiento y el an\u00e1lisis de data cl\u00ednicos, descubriendo patrones y correlaciones que los m\u00e9todos tradicionales podr\u00edan pasar por alto. Durante el desarrollo de la vacuna COVID-19, la IA permiti\u00f3 a Pfizer redactar el reports reglamentario en 48 d\u00edas, frente a los 100 d\u00edas tradicionales. Este plazo acelerado permiti\u00f3 una entrada m\u00e1s r\u00e1pida en el mercado y mejor\u00f3 el acceso de los pacientes.<\/p>\n<\/div><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;\">Desaf\u00edos en la ampliaci\u00f3n de las innovaciones de IA<\/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 principal reto reside en establecer una data foundations s\u00f3lida, que incluya marcos de gobernanza y cumplimiento. Aunque en un principio se perciben como costosos y lentos, estos cimientos son fundamentales para la escalabilidad a largo plazo y para ofrecer casos de uso impulsados por la IA de forma eficaz.<\/p>\n<\/div><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;\">Conclusi\u00f3n<\/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 est\u00e1 revolucionando los ensayos cl\u00ednicos al acortar los plazos, mejorar la eficiencia y potenciar los resultados en los pacientes. Sin embargo, el \u00e9xito depende de que se aborden los retos del data governance y se fomente la colaboraci\u00f3n en todo el ecosistema sanitario.<\/p>\n<\/div><\/div><\/div><\/div><\/article><\/p>","protected":false},"excerpt":{"rendered":"<p>El debate gir\u00f3 en torno al papel transformador de la IA en los ensayos cl\u00ednicos, apoyado por las ideas de Pfizer y Artefact, y destacado en su libro blanco de colaboraci\u00f3n. Se expusieron casos de uso concretos, el mapeo del ecosistema y los retos que plantea la ampliaci\u00f3n de las innovaciones en IA.<\/p>","protected":false},"featured_media":292749,"parent":0,"template":"","meta":{"_acf_changed":false,"ep_exclude_from_search":false},"blog-category":[21931],"blog-language":[2991],"class_list":["post-292748","blog","type-blog","status-publish","has-post-thumbnail","hentry","blog-category-healthcare","blog-language-en"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.artefact.com\/es\/wp-json\/wp\/v2\/blog\/292748","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\/292749"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/es\/wp-json\/wp\/v2\/media?parent=292748"}],"wp:term":[{"taxonomy":"blog-category","embeddable":true,"href":"https:\/\/www.artefact.com\/es\/wp-json\/wp\/v2\/blog-category?post=292748"},{"taxonomy":"blog-language","embeddable":true,"href":"https:\/\/www.artefact.com\/es\/wp-json\/wp\/v2\/blog-language?post=292748"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}