{"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\/br\/blog\/unleashing-the-power-of-ai-in-clinical-trials-key-insights-from-pfizer-and-artefact-ai-for-health-summit\/","title":{"rendered":"Liberando o poder da IA em estudos cl\u00ednicos: Principais percep\u00e7\u00f5es do PFIZER e do ARTEFACT - AI for Health Summit"},"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>C\u00fapula de IA para a Sa\u00fade - Edi\u00e7\u00e3o 2024<\/p>\n<p>Principais aprendizados do painel de discuss\u00e3o sobre \u201cUnleashing the power of AI in Clinical Trials\u201d (Liberando o poder da IA em estudos cl\u00ednicos) com Luca Mollo, vice-presidente, diretor m\u00e9dico da Fran\u00e7a, m\u00e9dico da Pfizer, Thomas Filaire, s\u00f3cio da Artefact, e L\u00e9a Giroulet, Data Consultant s\u00eanior da 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=\"Reprodutor de v\u00eddeo do 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>A discuss\u00e3o girou em torno do papel transformador da IA em testes cl\u00ednicos, apoiada por insights da Pfizer e da Artefact, e destacada em seu white paper colaborativo. Ele apresentou casos de uso concretos, mapeamento de ecossistemas e desafios para ampliar as inova\u00e7\u00f5es de 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=\"Healthcare 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\">Baixar o relat\u00f3rio<\/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;\">A motiva\u00e7\u00e3o da Artefact para o white paper<\/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>O Artefact identificou uma demanda crescente por IA em P&amp;D, impulsionada por seu potencial de reduzir a dura\u00e7\u00e3o dos testes cl\u00ednicos em at\u00e9 50%, acelerar o fornecimento de terapias inovadoras e garantir a competitividade das empresas farmac\u00eauticas. Os casos de uso explorados no white paper j\u00e1 est\u00e3o sendo implementados ou integrados \u00e0s estrat\u00e9gias de m\u00e9dio prazo das partes interessadas.<\/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;\">O uso da IA pela Pfizer na descoberta de medicamentos<\/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>A Pfizer utiliza a IA para analisar datasets, identificar alvos de medicamentos, prever a efic\u00e1cia e otimizar o desenvolvimento. Por exemplo, durante a pandemia da COVID-19, a IA permitiu que a Pfizer reduzisse a triagem de mol\u00e9culas de 3 milh\u00f5es para 600, acelerando o desenvolvimento de um medicamento antiviral oral de quatro anos para quatro meses. Al\u00e9m disso, a IA facilitou novas metodologias, como ensaios cl\u00ednicos descentralizados e monitoramento remoto, ajudando a reduzir os prazos m\u00e9dios de desenvolvimento de medicamentos de 8,6 anos em 2019 para 4,8 anos at\u00e9 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;\">Principais fases dos estudos 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>O white paper divide a cadeia de valor do estudo cl\u00ednico em tr\u00eas fases: projeto, recrutamento de pacientes e execu\u00e7\u00e3o. Para o projeto do estudo, os modelos de linguagem ampla (LLMs) extraem a seguran\u00e7a e a efic\u00e1cia data de estudos anteriores, simplificando os protocolos de estudo. O recrutamento de pacientes se beneficia dos modelos de IA que analisam dados demogr\u00e1ficos e hist\u00f3rico m\u00e9dico para prever as taxas de desist\u00eancia, garantindo a continuidade do estudo. A execu\u00e7\u00e3o e o gerenciamento s\u00e3o aprimorados por meio do processamento data orientado por IA, reduzindo o tempo necess\u00e1rio para a gera\u00e7\u00e3o de relat\u00f3rios e o envio \u00e0s autoridades regulat\u00f3rias.<\/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;\">Avan\u00e7os no gerenciamento cl\u00ednico 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>A IA automatiza tarefas que exigem muito trabalho, como limpeza, processamento e an\u00e1lise de data cl\u00ednicos, descobrindo padr\u00f5es e correla\u00e7\u00f5es que os m\u00e9todos tradicionais podem deixar passar. Durante o desenvolvimento da vacina contra a COVID-19, a IA permitiu que a Pfizer elaborasse o reports regulat\u00f3rio em 48 dias, em compara\u00e7\u00e3o com os 100 dias tradicionais. Esse cronograma acelerado permitiu a entrada mais r\u00e1pida no mercado e melhorou o acesso dos 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;\">Desafios no dimensionamento das inova\u00e7\u00f5es 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>O principal desafio est\u00e1 em estabelecer um data foundations robusto, incluindo estruturas de governan\u00e7a e conformidade. Embora inicialmente sejam vistas como caras e lentas, essas bases s\u00e3o essenciais para a escalabilidade de longo prazo e para o fornecimento eficaz de casos de uso orientados por 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;\">Conclus\u00e3o<\/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>A IA est\u00e1 revolucionando os testes cl\u00ednicos ao reduzir os cronogramas, melhorar a efici\u00eancia e aprimorar os resultados para os pacientes. No entanto, o sucesso depende da abordagem dos desafios do data governance e da promo\u00e7\u00e3o da colabora\u00e7\u00e3o em todo o ecossistema de sa\u00fade.<\/p>\n<\/div><\/div><\/div><\/div><\/article><\/p>","protected":false},"excerpt":{"rendered":"<p>A discuss\u00e3o girou em torno do papel transformador da IA em testes cl\u00ednicos, apoiada por insights da Pfizer e da Artefact, e destacada em seu white paper colaborativo. Ele apresentou casos de uso concretos, mapeamento de ecossistemas e desafios para ampliar as inova\u00e7\u00f5es de 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\/br\/wp-json\/wp\/v2\/blog\/292748","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/types\/blog"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/media\/292749"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/media?parent=292748"}],"wp:term":[{"taxonomy":"blog-category","embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog-category?post=292748"},{"taxonomy":"blog-language","embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog-language?post=292748"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}