	{"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\/br\/blog\/ai-breathes-new-life-into-clinical-trials-perspectives-and-challenges\/","title":{"rendered":"A IA d\u00e1 nova vida aos ensaios cl\u00ednicos: Perspectivas e desafios"},"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>A intelig\u00eancia artificial est\u00e1 transformando o mundo dos ensaios cl\u00ednicos, prometendo reduzir pela metade os prazos de desenvolvimento de medicamentos. Um white paper recente da Artefact explora essa revolu\u00e7\u00e3o em andamento, destacando as inova\u00e7\u00f5es que est\u00e3o remodelando cada est\u00e1gio do processo, desde a concep\u00e7\u00e3o do estudo at\u00e9 o recrutamento de pacientes.<\/p>\n<p>O documento oferece uma vis\u00e3o de um ecossistema din\u00e2mico em que startups, gigantes da tecnologia e laborat\u00f3rios farmac\u00eauticos est\u00e3o redefinindo o futuro da pesquisa 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>Leia o artigo em<\/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=\"Logotipo da 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;\">Como a IA est\u00e1 remodelando o cen\u00e1rio dos ensaios cl\u00ednicos: uma an\u00e1lise do 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>O setor farmac\u00eautico est\u00e1 \u00e0 beira de uma grande revolu\u00e7\u00e3o nos estudos cl\u00ednicos, impulsionada pela artificial intelligence (IA). Um white paper recente da Artefact, em parceria com a AI for Health, explora como a IA est\u00e1 transformando todas as etapas do processo de testes cl\u00ednicos, desde o projeto at\u00e9 a an\u00e1lise dos 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;\">Uma oportunidade sem precedentes para acelerar o desenvolvimento 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>Em um setor em que o fracasso \u00e9 a norma - com 9 de cada 10 candidatos a medicamentos fracassando durante os testes cl\u00ednicos - a IA apresenta uma oportunidade revolucion\u00e1ria. Ao reduzir os cronogramas de desenvolvimento em v\u00e1rias semanas, a IA tem o potencial de economizar milh\u00f5es para as empresas farmac\u00eauticas, acelerar as descobertas cient\u00edficas e levar terapias que salvam vidas aos pacientes mais r\u00e1pido do 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>A atual taxa de insucesso dos testes cl\u00ednicos de novos medicamentos, desde a fase I at\u00e9 a aprova\u00e7\u00e3o cl\u00ednica final, ultrapassa 90%. Os principais motivos para esses fracassos incluem a falta de efic\u00e1cia cl\u00ednica (40-50%), toxicidade incontrol\u00e1vel (30%), propriedades ruins do medicamento (10-15%) e aus\u00eancia de necessidades comerciais ou planejamento estrat\u00e9gico deficiente (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\">\u201cOptamos por nos concentrar na IA e na IA generativa em P&amp;D farmac\u00eautico por v\u00e1rios motivos. Primeiro, ela est\u00e1 despertando um interesse e uma acelera\u00e7\u00e3o significativos de muitas partes interessadas. Segundo, a IA e a P&amp;D s\u00e3o t\u00f3picos estrat\u00e9gicos cruciais atualmente, com o potencial de reduzir pela metade a dura\u00e7\u00e3o dos estudos cl\u00ednicos. Por fim, \u00e9 um t\u00f3pico muito atual, pois muitos laborat\u00f3rios j\u00e1 est\u00e3o implantando ou planejando ativar esses casos de uso.\u201d<\/div>\n<div class=\"quote-baseline\">Thomas Filaire, supervisor do white paper da Artefact, explica as motiva\u00e7\u00f5es por tr\u00e1s do estudo<\/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=\"A IA d\u00e1 nova vida aos ensaios 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;\">A IA est\u00e1 redefinindo cada etapa do ciclo de vida dos ensaios 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>O white paper da Artefact explora como a IA est\u00e1 revolucionando as tr\u00eas principais fases dos testes 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=\"A IA d\u00e1 nova vida aos ensaios cl\u00ednicos - etapas\" 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. Desenho do estudo 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>A IA otimiza o processo tradicionalmente longo e complexo de projetar protocolos de ensaios cl\u00ednicos. As principais inova\u00e7\u00f5es incluem:<\/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 de linguagem (LLMs) para extrair rapidamente a seguran\u00e7a e a efic\u00e1cia data de resumos de estudos.<\/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>Previs\u00e3o algor\u00edtmica do sucesso do estudo, orientando ajustes no projeto ou concentrando-se em mol\u00e9culas mais promissoras.<\/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>Gera\u00e7\u00e3o de crit\u00e9rios de elegibilidade de pacientes usando modelos como TrialGPT ou 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=\"Cota\u00e7\u00e3o de Brice Miranda, Diretor do 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>Esses avan\u00e7os reduzem significativamente o tempo de projeto do estudo, \u00e0s vezes reduzindo-o de v\u00e1rios meses para apenas algumas semanas. Por exemplo:<\/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>A IA pode reduzir os prazos de projeto de protocolos cl\u00ednicos em uma m\u00e9dia 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>Um algoritmo gen\u00e9tico usado para estudos de bioequival\u00eancia pedi\u00e1trica reduziu o n\u00famero de pontos de coleta de amostras de sangue de 15 para 7, mantendo a precis\u00e3o 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>A IA pode reduzir o tempo necess\u00e1rio para analisar resumos de estudos cl\u00ednicos anteriores de v\u00e1rios meses para 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. Recrutamento e inclus\u00e3o 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>O recrutamento de pacientes continua sendo um dos principais desafios dos estudos cl\u00ednicos. A IA oferece solu\u00e7\u00f5es inovadoras 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>Prever a probabilidade de os pacientes desistirem do estudo.<\/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>Otimizar a sele\u00e7\u00e3o de locais de estudos 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>Aprimorar os formul\u00e1rios de consentimento do paciente.<\/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=\"A IA d\u00e1 nova vida aos ensaios cl\u00ednicos - caso de uso da 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>O impacto da IA no recrutamento \u00e9 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>O tempo gasto na an\u00e1lise de registros m\u00e9dicos eletr\u00f4nicos para identificar pacientes eleg\u00edveis \u00e9 reduzido de 30 horas para 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>Um estudo de oncologia pedi\u00e1trica mostrou uma redu\u00e7\u00e3o de 90% na carga de trabalho de recrutamento.<\/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>Uma ferramenta de IA reduziu o tempo de sele\u00e7\u00e3o de 90 pacientes para apenas um quinto do tempo necess\u00e1rio 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>Um estudo sobre c\u00e2ncer de pulm\u00e3o demonstrou que um sistema de IA analisou 102 pacientes em apenas 15,5 segundos com precis\u00e3o de 91,6% para elegibilidade.<\/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. Execu\u00e7\u00e3o e gerenciamento de estudos 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>A IA est\u00e1 transformando a execu\u00e7\u00e3o e a an\u00e1lise de estudos cl\u00ednicos por meio de v\u00e1rios avan\u00e7os:<\/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>Gerenciamento de qualidade baseado em riscos (RBQM): A IA aprimora a detec\u00e7\u00e3o de anomalias em tempo real, permitindo uma interven\u00e7\u00e3o mais r\u00e1pida e melhor integridade do 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>Estudos cl\u00ednicos descentralizados (DCT): Melhorando o envolvimento dos 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>Descoberta de percep\u00e7\u00f5es por meio da an\u00e1lise automatizada do 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>Essas inova\u00e7\u00f5es aumentam a efici\u00eancia, reduzem os custos e simplificam todo o processo de ensaios cl\u00ednicos, acelerando o desenvolvimento de medicamentos e melhorando os 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>Uma redu\u00e7\u00e3o nos custos de estudos cl\u00ednicos de at\u00e9 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>Acelera\u00e7\u00e3o do desenvolvimento de medicamentos em 1 a 2 anos.<\/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>Redu\u00e7\u00e3o do tempo de elabora\u00e7\u00e3o de relat\u00f3rios, de 100 para 48 dias em alguns 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>Essas inova\u00e7\u00f5es est\u00e3o remodelando o cen\u00e1rio dos ensaios cl\u00ednicos, tornando-os mais r\u00e1pidos, mais eficientes e econ\u00f4micos.<\/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;\">Um ecossistema de inova\u00e7\u00e3o em expans\u00e3o.<\/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>O white paper destaca o papel fundamental desempenhado por v\u00e1rias partes interessadas no avan\u00e7o das solu\u00e7\u00f5es de IA para testes cl\u00ednicos, com foco especial em startups inovadoras e gigantes da tecnologia.<\/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;\">Os principais gigantes da tecnologia que impulsionam a inova\u00e7\u00e3o.<\/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 da tecnologia como Google, Microsoft, IBM e Apple est\u00e3o desempenhando um papel cada vez mais importante no avan\u00e7o dos ensaios cl\u00ednicos orientados por 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> est\u00e1 colaborando com a Novartis em sua iniciativa AI for Health para identificar projetos de estudos ideais e prever resultados. Essa parceria se concentra no uso de IA generativa para aprimorar o design de estudos cl\u00ednicos e melhorar as previs\u00f5es de resultados em tempo 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 Health<\/strong> analisa a literatura m\u00e9dica e o data de estudos para aprimorar o projeto de protocolos e o recrutamento de pacientes. Seus modelos de IA generativa se concentram em grandes conjuntos de data para identificar padr\u00f5es em data cl\u00ednicos, aprimorando os protocolos de estudos e as estrat\u00e9gias de recrutamento.<\/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 (uma subsidi\u00e1ria da Alphabet)<\/strong> A empresa se concentra no recrutamento de pacientes e no gerenciamento de estudos com sua plataforma Baseline. Essa plataforma usa IA para coletar e analisar dados de sa\u00fade data de volunt\u00e1rios, permitindo a cria\u00e7\u00e3o de estudos cl\u00ednicos mais inteligentes e 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>Apple<\/strong> recebeu a aprova\u00e7\u00e3o da FDA para usar a ferramenta de monitoramento de fibrila\u00e7\u00e3o atrial do Apple Watch em testes cl\u00ednicos. Essa \u00e9 a primeira ferramenta digital qualificada pelo programa MDDT (Medical Device Development Tools, Ferramentas de Desenvolvimento de Dispositivos M\u00e9dicos), sinalizando o potencial de reduzir custos e melhorar o envolvimento dos pacientes em pesquisas cl\u00ednicas.<\/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 passando de um ecossistema de sa\u00fade reativo para um proativo, quase preditivo.\u201d<\/div>\n<div class=\"quote-baseline\">enfatiza Shweta Maniar, Diretora Global de Sa\u00fade e Ci\u00eancias da Vida do 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>Essa mudan\u00e7a reflete o impacto transformador da IA em todo o processo de ensaios 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, impulsionando a inova\u00e7\u00e3o em pesquisa 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>Muitas startups est\u00e3o surgindo no campo da pesquisa cl\u00ednica, oferecendo solu\u00e7\u00f5es inovadoras para o projeto de estudos, recrutamento de pacientes e gerenciamento de data. O white paper apresenta um mapa desses participantes inovadores, organizado de acordo com as tr\u00eas principais fases dos estudos 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. Desenho do estudo 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, Protocols.io, Protrials.ai<\/strong>: Automatiza\u00e7\u00e3o 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> Otimiza\u00e7\u00e3o das metas dos estudos.<\/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, Insilico Medicine:<\/strong> Previs\u00e3o de resultados de estudos.<\/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>Unlearn.ai:<\/strong> Cria\u00e7\u00e3o de \u201cg\u00eameos digitais\u201d de pacientes para prever resultados de estudos, reduzindo o n\u00famero de pacientes de controle necess\u00e1rios de 20% para 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=\"A IA d\u00e1 nova vida aos ensaios cl\u00ednicos - Desenho de ensaios 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. Recrutamento e inclus\u00e3o 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, SubjectWell:<\/strong> Registro de estudos 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><strong>Deep 6 AI, TrialSpark:<\/strong> Recrutamento de pacientes. Essas startups usam IA para analisar registros m\u00e9dicos eletr\u00f4nicos e identificar rapidamente pacientes eleg\u00edveis para estudos 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=\"A IA d\u00e1 nova vida aos ensaios cl\u00ednicos - execu\u00e7\u00e3o e gerenciamento - recrutamento e inscri\u00e7\u00e3o 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 de 5% dos pacientes se beneficiam dos ensaios cl\u00ednicos oncol\u00f3gicos, enquanto 70% dizem que estariam dispostos a participar se tivessem a oportunidade. H\u00e1 uma clara necessidade de uma melhor correspond\u00eancia entre pacientes e estudos, e os recentes avan\u00e7os da IA tornam isso poss\u00edvel.\u201d<\/div>\n<div class=\"quote-baseline\">destaca como uma quest\u00e3o cr\u00edtica Thomas Peyresblanques, cofundador e CEO da 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. Execu\u00e7\u00e3o e gerenciamento de testes:<\/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> Gerenciamento do 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><strong>AiCure, Castor:<\/strong> ensaios descentralizados e monitoramento de pacientes. A AiCure usa IA para rastrear a ades\u00e3o dos pacientes aos tratamentos e fornece feedback em tempo real aos locais de estudo.<\/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=\"A IA d\u00e1 nova vida aos ensaios cl\u00ednicos - execu\u00e7\u00e3o e gerenciamento\" 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\">\u201cCom apenas 4% dos estudos incluindo uma popula\u00e7\u00e3o representativa, o Inato ajuda os patrocinadores a recrutar pacientes duas vezes mais r\u00e1pido, aumentando a diversidade para 67% participantes n\u00e3o brancos, em compara\u00e7\u00e3o com a m\u00e9dia anterior de 15%.\u201d<\/div>\n<div class=\"quote-baseline\">explica Kourosh Davarpanah, cofundador e CEO da Inato, destacando o impacto de sua solu\u00e7\u00e3o<\/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>Isso reflete o potencial da IA para melhorar o recrutamento e a inclus\u00e3o em estudos 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;\">Desafios a serem superados<\/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>Apesar dos avan\u00e7os promissores, ainda h\u00e1 desafios em rela\u00e7\u00e3o \u00e0 ado\u00e7\u00e3o da IA em estudos 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>Regula\u00e7\u00e3o e prote\u00e7\u00e3o Data:<\/strong> As autoridades de sa\u00fade devem adaptar as estruturas regulat\u00f3rias para incorporar novas tecnologias de IA e, ao mesmo tempo, garantir a seguran\u00e7a dos pacientes. Charlotte Pouchy, CEO da DEEMEA, ressalta: \u201cA regulamenta\u00e7\u00e3o europeia \u00e9 rigorosa, mas pode servir como uma vantagem, atuando como uma barreira \u00e0 entrada de empresas que n\u00e3o estejam em conformidade.\u201d A Europa est\u00e1 se posicionando como um regulador importante, enfatizando a seguran\u00e7a do cidad\u00e3o no uso da 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>Acesso ao Data e interoperabilidade:<\/strong> Brice Miranda, Diretor do Grupo Data da Servier, enfatiza: \u201cO compartilhamento global de data \u00e9 crucial para o avan\u00e7o da pesquisa, mas muitas vezes \u00e9 prejudicado por barreiras legais, de confidencialidade e de concorr\u00eancia, bem como pela falta de ades\u00e3o a padr\u00f5es e formatos comuns de data.\u201d Esse desafio \u00e9 particularmente importante para as doen\u00e7as raras, em que o data limitado torna a colabora\u00e7\u00e3o ainda mais essencial.<\/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>Preconceito e generaliza\u00e7\u00e3o:<\/strong>Os modelos de IA devem ser treinados em conjuntos representativos de data para evitar vieses e garantir que os resultados sejam generaliz\u00e1veis para diversas popula\u00e7\u00f5es. Isso representa um grande desafio \u00e9tico, pois os vieses no treinamento do data podem levar a resultados distorcidos e n\u00e3o reprodut\u00edveis. Enfrentar esse desafio \u00e9 fundamental para garantir que os ensaios cl\u00ednicos orientados por IA forne\u00e7am resultados precisos e equitativos para todos os 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>Transpar\u00eancia e explicabilidade:<\/strong> A natureza \u201ccaixa-preta\u201d de muitos modelos de IA levanta quest\u00f5es \u00e9ticas e de confian\u00e7a, principalmente em estudos cl\u00ednicos em que a precis\u00e3o da previs\u00e3o \u00e9 crucial. \u00c9 essencial explicar como os modelos de IA tomam decis\u00f5es para ganhar a confian\u00e7a das partes interessadas. Sem transpar\u00eancia, o uso da IA em estudos cl\u00ednicos pode ser limitado, pois os \u00f3rg\u00e3os reguladores e os pacientes precisam entender a l\u00f3gica por tr\u00e1s das decis\u00f5es para garantir a confiabilidade e a confian\u00e7a na tecnologia.<\/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>Seguran\u00e7a cibern\u00e9tica e privacidade data:<\/strong> A prote\u00e7\u00e3o de Data continua sendo uma grande preocupa\u00e7\u00e3o no uso de IA para estudos cl\u00ednicos. Medidas robustas de seguran\u00e7a cibern\u00e9tica e autentica\u00e7\u00e3o multifatorial s\u00e3o necess\u00e1rias para garantir a seguran\u00e7a do data do paciente.<\/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>Concluindo, a IA oferece oportunidades sem precedentes para revolucionar os estudos cl\u00ednicos, mas a ado\u00e7\u00e3o generalizada requer a abordagem desses desafios complexos. A colabora\u00e7\u00e3o entre startups, gigantes da tecnologia, empresas farmac\u00eauticas e \u00f3rg\u00e3os reguladores ser\u00e1 essencial para aproveitar totalmente o potencial da IA e, ao mesmo tempo, garantir a seguran\u00e7a e a \u00e9tica dos estudos 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. Harnessing artificial intelligence to improve clinical trial design. 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. Projeto computacional de estudos cl\u00ednicos usando uma combina\u00e7\u00e3o de simula\u00e7\u00e3o e algoritmo gen\u00e9tico. CPT Pharmacometrics Syst Pharmacol. 2023 Apr;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. The role of artificial intelligence in hastening time to recruitment in clinical trials. BJR Open. 2023 May 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>Leia o artigo em<\/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=\"Logotipo da 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>A intelig\u00eancia artificial est\u00e1 transformando o mundo dos testes cl\u00ednicos, prometendo reduzir pela metade os prazos de desenvolvimento de 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\/br\/wp-json\/wp\/v2\/blog\/294703","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\/294705"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/media?parent=294703"}],"wp:term":[{"taxonomy":"blog-category","embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog-category?post=294703"},{"taxonomy":"blog-language","embeddable":true,"href":"https:\/\/www.artefact.com\/br\/wp-json\/wp\/v2\/blog-language?post=294703"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}