{"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\/fr\/blog\/unleashing-the-power-of-ai-in-clinical-trials-key-insights-from-pfizer-and-artefact-ai-for-health-summit\/","title":{"rendered":"Lib\u00e9rer le pouvoir de l'IA dans les essais cliniques : Les points cl\u00e9s de PFIZER et ARTEFACT - Sommet de l'IA pour la sant\u00e9"},"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>Sommet de l'IA pour la sant\u00e9 - \u00c9dition 2024<\/p>\n<p>Principaux enseignements de la table ronde \u201cLib\u00e9rer la puissance de l'IA dans les essais cliniques\u201d avec Luca Mollo, vice-pr\u00e9sident, directeur m\u00e9dical France, docteur en m\u00e9decine chez Pfizer, Thomas Filaire, associ\u00e9 chez Artefact, et L\u00e9a Giroulet, Senior Data Consultant chez 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=\"Lecteur vid\u00e9o 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>La discussion a port\u00e9 sur le r\u00f4le transformateur de l'IA dans les essais cliniques, soutenu par les id\u00e9es de Pfizer et Artefact, et mis en \u00e9vidence dans leur livre blanc collaboratif. Il a pr\u00e9sent\u00e9 des cas d'utilisation concrets, une cartographie de l'\u00e9cosyst\u00e8me et les d\u00e9fis li\u00e9s \u00e0 l'expansion des innovations en mati\u00e8re d'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=\"Manuel sur les soins de sant\u00e9 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\">T\u00e9l\u00e9charger le rapport<\/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;\">Motivation de Artefact pour le livre blanc<\/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 a identifi\u00e9 une demande croissante pour l'IA dans la R&amp;D, motiv\u00e9e par son potentiel \u00e0 raccourcir les dur\u00e9es des essais cliniques jusqu'\u00e0 50%, \u00e0 acc\u00e9l\u00e9rer la mise \u00e0 disposition de th\u00e9rapies innovantes et \u00e0 assurer la comp\u00e9titivit\u00e9 des entreprises pharmaceutiques. Les cas d'utilisation explor\u00e9s dans le livre blanc sont d\u00e9j\u00e0 mis en \u0153uvre ou int\u00e9gr\u00e9s dans les strat\u00e9gies \u00e0 moyen terme des parties prenantes.<\/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;\">Pfizer utilise l'IA pour la d\u00e9couverte de m\u00e9dicaments<\/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 utilise l'IA pour analyser les ensembles data, identifier les cibles des m\u00e9dicaments, pr\u00e9dire l'efficacit\u00e9 et optimiser le d\u00e9veloppement. Par exemple, lors de la pand\u00e9mie de COVID-19, l'IA a permis \u00e0 Pfizer de r\u00e9duire le nombre de mol\u00e9cules s\u00e9lectionn\u00e9es de 3 millions \u00e0 600, acc\u00e9l\u00e9rant ainsi le d\u00e9veloppement d'un m\u00e9dicament antiviral oral de quatre ans \u00e0 quatre mois. En outre, l'IA a facilit\u00e9 l'adoption de nouvelles m\u00e9thodologies telles que les essais cliniques d\u00e9centralis\u00e9s et la surveillance \u00e0 distance, contribuant \u00e0 r\u00e9duire les d\u00e9lais moyens de d\u00e9veloppement des m\u00e9dicaments de 8,6 ans en 2019 \u00e0 4,8 ans d'ici 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;\">Phases cl\u00e9s des essais cliniques<\/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>Le livre blanc d\u00e9compose la cha\u00eene de valeur des essais cliniques en trois phases : conception, recrutement des patients et ex\u00e9cution. Pour la conception de l'essai, les grands mod\u00e8les linguistiques (LLM) extraient la s\u00e9curit\u00e9 et l'efficacit\u00e9 data des essais pr\u00e9c\u00e9dents, rationalisant ainsi les protocoles d'\u00e9tude. Le recrutement des patients b\u00e9n\u00e9ficie de mod\u00e8les d'IA qui analysent les donn\u00e9es d\u00e9mographiques et les ant\u00e9c\u00e9dents m\u00e9dicaux pour pr\u00e9dire les taux d'abandon, assurant ainsi la continuit\u00e9 de l'essai. L'ex\u00e9cution et la gestion sont am\u00e9lior\u00e9es gr\u00e2ce au traitement data pilot\u00e9 par l'IA, ce qui r\u00e9duit le temps n\u00e9cessaire \u00e0 la g\u00e9n\u00e9ration des rapports et \u00e0 leur soumission aux autorit\u00e9s r\u00e9glementaires.<\/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;\">Avanc\u00e9es en mati\u00e8re de gestion clinique 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>L'IA automatise les t\u00e2ches laborieuses telles que le nettoyage, le traitement et l'analyse des data cliniques, ce qui permet de d\u00e9couvrir des sch\u00e9mas et des corr\u00e9lations que les m\u00e9thodes traditionnelles risquent de ne pas voir. Au cours du d\u00e9veloppement du vaccin COVID-19, l'IA a permis \u00e0 Pfizer de r\u00e9diger des reports r\u00e9glementaires en 48 jours, contre 100 jours traditionnellement. Ce d\u00e9lai acc\u00e9l\u00e9r\u00e9 a permis une mise sur le march\u00e9 plus rapide et un meilleur acc\u00e8s aux patients.<\/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;\">D\u00e9fis li\u00e9s \u00e0 la mise \u00e0 l'\u00e9chelle des innovations en mati\u00e8re d'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>Le principal d\u00e9fi r\u00e9side dans la mise en place de data foundations robustes, y compris des cadres de gouvernance et de conformit\u00e9. Bien qu'initialement per\u00e7ues comme co\u00fbteuses et lentes, ces fondations sont essentielles \u00e0 l'\u00e9volutivit\u00e9 \u00e0 long terme et \u00e0 la r\u00e9alisation efficace de cas d'utilisation fond\u00e9s sur l'IA.<\/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;\">Conclusion<\/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>L'IA r\u00e9volutionne les essais cliniques en raccourcissant les d\u00e9lais, en am\u00e9liorant l'efficacit\u00e9 et les r\u00e9sultats pour les patients. Toutefois, pour r\u00e9ussir, il faut relever les d\u00e9fis du data governance et favoriser la collaboration dans l'ensemble de l'\u00e9cosyst\u00e8me des soins de sant\u00e9.<\/p>\n<\/div><\/div><\/div><\/div><\/article><\/p>","protected":false},"excerpt":{"rendered":"<p>La discussion a port\u00e9 sur le r\u00f4le transformateur de l'IA dans les essais cliniques, soutenu par les id\u00e9es de Pfizer et Artefact, et mis en \u00e9vidence dans leur livre blanc collaboratif. Il a pr\u00e9sent\u00e9 des cas d'utilisation concrets, une cartographie de l'\u00e9cosyst\u00e8me et les d\u00e9fis li\u00e9s \u00e0 l'expansion des innovations en mati\u00e8re d'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\/fr\/wp-json\/wp\/v2\/blog\/292748","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/types\/blog"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/media\/292749"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/media?parent=292748"}],"wp:term":[{"taxonomy":"blog-category","embeddable":true,"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/blog-category?post=292748"},{"taxonomy":"blog-language","embeddable":true,"href":"https:\/\/www.artefact.com\/fr\/wp-json\/wp\/v2\/blog-language?post=292748"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}