{"id":161972,"date":"2020-02-21T14:04:12","date_gmt":"2020-02-21T12:04:12","guid":{"rendered":"https:\/\/virtualdesk.es\/union-europea-apuesta-por-machine-learning-en-sector-sanitario\/"},"modified":"2026-05-04T13:05:51","modified_gmt":"2026-05-04T12:05:51","slug":"union-europea-apuesta-por-machine-learning-en-sector-sanitario","status":"publish","type":"post","link":"https:\/\/virtualdesk.es\/en\/union-europea-apuesta-por-machine-learning-en-sector-sanitario\/","title":{"rendered":"La Uni\u00f3n Europea apuesta por el machine learning en el sector sanitario"},"content":{"rendered":"

[vc_row][vc_column width=”1\/1″][vc_single_image media=”58931″ media_width_percent=”100″][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/1″][vc_column_text]<\/p>\n

La Uni\u00f3n Europea apuesta por el machine learning <\/em>en el sector sanitario<\/strong><\/h1>\n

La asistencia sanitaria representa el 10% del Producto Interior Bruto (PIB) de la Uni\u00f3n Europea y este gasto se incrementa continuamente debido al r\u00e1pido envejecimiento de la poblaci\u00f3n, al aumento de la prevalencia de enfermedades cr\u00f3nicas y al crecimiento del coste de la tecnolog\u00eda m\u00e9dica. Se estima que para 2060 ese gasto ascender\u00e1 al 30% del PIB.<\/p>\n

Ante esta previsi\u00f3n, resulta indispensable tomar las medidas necesarias para asegurar la sostenibilidad de los modelos sanitarios actuales, reduciendo los costes, pero manteniendo y mejorando la calidad asistencial<\/strong>.<\/p>\n

Para alcanzar este ambicioso objetivo, la Uni\u00f3n Europea ha decidido apostar por el desarrollo de soluciones basadas en el big data<\/em>, la inteligencia artificial y el machine learning<\/em><\/strong>. DeepHealth<\/a> y BigMedilytics<\/a> son dos de los proyectos m\u00e1s importantes que se est\u00e1n llevando a cabo en este sentido. Cuentan con millones de euros de presupuesto y con la colaboraci\u00f3n simult\u00e1nea de expertos internacionales.<\/p>\n

Estas soluciones se sirven del enorme potencial de los datos m\u00e9dicos generados (aproximadamente 1 Zettabyte) para aplicar t\u00e9cnicas de aprendizaje y crear modelos predictivos que permitan hallar innovadoras y eficaces v\u00edas de evaluaci\u00f3n, seguimiento y tratamiento de enfermedades<\/strong>.<\/p>\n

Las posibilidades que se abren son infinitas e ilusionantes; desde la mejora de la calidad de vida de personas con dolencias cr\u00f3nicas -como las migra\u00f1as- hasta la detecci\u00f3n de enfermedades que todav\u00eda no se han manifestado<\/strong>, como por ejemplo en el caso del Alzh\u00e9imer<\/a>.<\/p>\n

El del c\u00e1ncer es otro de los campos de batalla donde se espera que machine learning<\/em> sea capaz de marcar la diferencia, detectando precozmente enfermedades como el c\u00e1ncer de mama, la leucemia, el c\u00e1ncer de pr\u00f3stata, p\u00e1ncreas o el de pulm\u00f3n<\/strong>. As\u00ed como, descubriendo, por ejemplo, que pacientes podr\u00edan ser m\u00e1s receptivos a un tratamiento con inmunoterapia. Su aplicaci\u00f3n real en el sistema sanitario parece inminente y Virtual Desk ya ha iniciado proyectos de investigaci\u00f3n en este \u00e1mbito<\/strong>.<\/p>\n

El machine learning<\/em> no sustituir\u00e1 la labor de los especialistas y de los pat\u00f3logos, pero se convertir\u00e1 en una herramienta imprescindible en la medicina del ma\u00f1ana gracias a su ingente capacidad de an\u00e1lisis, aprendizaje y predicci\u00f3n. Esta incre\u00edble tecnolog\u00eda<\/a>, que apenas est\u00e1 dando los primeros pasos de un camino lleno de posibilidades, servir\u00e1 en un futuro para salvar y mejorar millones de vidas.[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

La aplicaci\u00f3n de Machine Learning en el sector sanitario abre posibilidades como la detecci\u00f3n precoz de c\u00e1ncer de mama, leucemia, c\u00e1ncer de pr\u00f3stata, p\u00e1ncreas o pulm\u00f3n. VirtualDesk ya ha iniciado proyectos de investigaci\u00f3n en este \u00e1mbito.<\/p>\n","protected":false},"author":1,"featured_media":58931,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[315],"tags":[160,119,162,128,120,156,139,113,131],"class_list":["post-161972","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-socyal-en","tag-administracion-publica","tag-big-data","tag-deteccion-precoz-cancer","tag-digitalizacion","tag-inteligencia-artificial","tag-machine-learning","tag-sanidad","tag-transformacion-digital","tag-virtualdesk"],"yoast_head":"\nLa Uni\u00f3n Europea apuesta por el machine learning en el sector sanitario<\/title>\n<meta name=\"description\" content=\"La aplicaci\u00f3n de Machine Learning en el sector sanitario abre posibilidades como la detecci\u00f3n precoz de c\u00e1ncer de mama, leucemia, c\u00e1ncer de pr\u00f3stata, p\u00e1ncreas o pulm\u00f3n. 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