{"id":20349,"date":"2025-10-12T18:47:48","date_gmt":"2025-10-12T16:47:48","guid":{"rendered":"https:\/\/thesmartcityjournal.cibeles.net\/sin-categorizar\/que-pasara-y-cuando-con-su-salud\/"},"modified":"2025-10-12T19:27:31","modified_gmt":"2025-10-12T17:27:31","slug":"que-pasara-y-cuando-con-su-salud","status":"publish","type":"post","link":"https:\/\/www.thesmartcityjournal.com\/es\/e-health\/que-pasara-y-cuando-con-su-salud","title":{"rendered":"\u00bfQu\u00e9 pasar\u00e1 y cu\u00e1ndo con su salud?"},"content":{"rendered":"

Un nuevo modelo de inteligencia artificial predice el riesgo de padecer ciertas enfermedades con a\u00f1os de antelaci\u00f3n<\/span><\/i><\/p>\n

La inteligencia artificial (IA) est\u00e1 revolucionando la medicina, ya que ayuda a los m\u00e9dicos a diagnosticar a los pacientes cada vez con mayor precisi\u00f3n. Nuestro historial m\u00e9dico ofrece informaci\u00f3n valiosa sobre posibles problemas de salud. Pero \u00bfy si la inteligencia artificial pudiera predecir con fiabilidad nuestro pr\u00f3ximo diagn\u00f3stico, una complicaci\u00f3n o incluso el momento de la muerte?<\/span><\/p>\n

Un equipo de investigadores del Laboratorio Europeo de Biolog\u00eda Molecular (EMBL, por sus siglas en ingl\u00e9s), el Centro Alem\u00e1n de Investigaci\u00f3n Oncol\u00f3gica (DKFZ, por sus siglas en alem\u00e1n) y la Universidad de Copenhague ha creado Delphi-2M, un modelo de IA capaz de predecir riesgos m\u00e9dicos con m\u00e1s de diez a\u00f1os de antelaci\u00f3n. El modelo se presenta en la revista \u00abNature\u00bb(se abrir\u00e1 en una nueva ventana).<\/span><\/p>\n

Lo que le depara a su salud<\/h2>\n

Delphi-2M puede estimar el riesgo de m\u00e1s de 1 200 afecciones, como el c\u00e1ncer, la diabetes, las enfermedades card\u00edacas y los problemas respiratorios. Es menos fiable cuando se trata de afecciones m\u00e1s aleatorias, como los trastornos mentales y el embarazo. No calcula fechas exactas, sino que estima la probabilidad de padecer enfermedades.<\/span><\/p>\n

A diferencia de ChatGPT y otros chatbots de IA, Delphi-2M no predice palabras, sino resultados. Los acontecimientos m\u00e9dicos suelen seguir patrones predecibles, por lo que aprende esos patrones para predecir futuros resultados sanitarios.<\/span><\/p>\n

En cierto modo, Delphi-2M ofrece una predicci\u00f3n sanitaria similar a la de una aplicaci\u00f3n meteorol\u00f3gica. \u00abIgual que con el tiempo, donde podemos hablar de un 70 % de probabilidad de lluvia, ahora podemos hacer lo mismo en el \u00e1mbito de la asistencia sanitaria\u00bb, explic\u00f3 a la \u00abBBC\u00bb(se abrir\u00e1 en una nueva ventana) Ewan Birney, director ejecutivo interino del EMBL. \u00abY no solo para una enfermedad, sino para todas al mismo tiempo, algo que nunca antes hab\u00edamos podido lograr. Estoy entusiasmado\u00bb.<\/span><\/p>\n

Los investigadores entrenaron Delphi-2M con datos de Biobank, en el Reino Unido: una gran base de datos biom\u00e9dicos que re\u00fane informaci\u00f3n de cerca de medio mill\u00f3n de participantes. Para demostrar el rendimiento del modelo, lo probaron con datos de casi dos millones de personas de la base de datos p\u00fablica de salud de Dinamarca.<\/span><\/p>\n

\u00abNuestro modelo de IA es una prueba de concepto, que muestra que es posible aprender muchos de nuestros patrones de salud a largo plazo y utilizar esa informaci\u00f3n para generar predicciones relevantes\u00bb, coment\u00f3 Birney en una nota prensa del DKFZ(se abrir\u00e1 en una nueva ventana). \u00abAl modelar c\u00f3mo se desarrollan las enfermedades con el tiempo, podemos empezar a investigar cu\u00e1ndo aparecen ciertos riesgos y c\u00f3mo planificar mejor las intervenciones tempranas. Representan un gran paso hacia un planteamiento m\u00e1s personalizado y preventivo de la asistencia sanitaria\u00bb.<\/span><\/p>\n

Una historia de salud que se desarrolla en el tiempo<\/h2>\n

Delphi-2M toma como punto de partida el historial m\u00e9dico del paciente. A partir de ah\u00ed, predice la probabilidad del siguiente acontecimiento de salud en su vida y el tiempo estimado hasta que ocurra. \u00abDel mismo modo que los modelos ling\u00fc\u00edsticos de gran tama\u00f1o pueden aprender la estructura de las frases, este modelo de IA aprende la \u201cgram\u00e1tica\u201d de los datos m\u00e9dicos para modelizar los historiales m\u00e9dicos como secuencias de acontecimientos que se desarrollan a lo largo del tiempo\u00bb, explic\u00f3 Moritz Gerstung, director del Departamento de IA en Oncolog\u00eda del DKFZ.<\/span><\/p>\n

\u00abEste es el inicio de una nueva forma de comprender la salud humana y la progresi\u00f3n de las enfermedades\u00bb, concluy\u00f3 Gerstung. \u00abLos modelos generativos como el nuestro podr\u00edan, alg\u00fan d\u00eda, ayudar a personalizar la asistencia sanitaria y anticipar las necesidades sanitarias a gran escala. Al aprender de grandes poblaciones, estos modelos constituyen una herramienta muy valiosa para analizar c\u00f3mo progresan las enfermedades y, en \u00faltimo t\u00e9rmino, podr\u00edan favorecer intervenciones m\u00e1s tempranas y personalizadas\u00bb.<\/span><\/p>\n

Delphi-2M a\u00fan no est\u00e1 listo para su uso cl\u00ednico. Pero \u00bfde verdad queremos saber cu\u00e1ndo llegar\u00e1 nuestro fin? \u00bfEs m\u00e1s, queremos que sean las m\u00e1quinas las que nos lo digan?<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Un nuevo modelo de inteligencia artificial predice el riesgo de padecer ciertas enfermedades con a\u00f1os de antelaci\u00f3n La inteligencia artificial (IA) est\u00e1 revolucionando la medicina, ya que ayuda a los m\u00e9dicos a diagnosticar a los pacientes cada vez con mayor precisi\u00f3n. Nuestro historial m\u00e9dico ofrece informaci\u00f3n valiosa sobre posibles problemas de salud. Pero \u00bfy si\u2026<\/p>\n","protected":false},"author":2,"featured_media":20347,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_scj_primary_category_id":93,"_scj_featured":false,"_scj_featured_from":"","_scj_featured_until":"","_scj_featured_order":0,"_scj_visibility_class":"current","_scj_layout_family":"standard","_scj_article_style":"","_scj_display_overrides":[],"_scj_intro_image_id":20347,"_scj_intro_alt":"\u00bfQu\u00e9 pasar\u00e1 y cu\u00e1ndo con su salud?","_scj_intro_caption":"","_scj_intro_class":"","_scj_intro_float":"","_scj_full_image_id":20347,"_scj_full_alt":"\u00bfQu\u00e9 pasar\u00e1 y cu\u00e1ndo con su salud?","_scj_full_caption":"","_scj_full_class":"","_scj_full_float":"","_scj_media_type":"","_scj_media_provider":"","_scj_media_external_id":"","_scj_media_url":"","_scj_media_poster_id":0,"_scj_media_width":0,"_scj_media_height":0,"_scj_media_aspect_ratio":"","_scj_media_description":"","_scj_gallery_items":[],"_scj_related_post_ids":[],"_scj_additional_authors":[],"scj_layout_family":"standard","scj_media_provider":"","scj_media_url":"","scj_full_caption":"","footnotes":""},"categories":[93],"tags":[172,2470,2822,2821],"class_list":["post-20349","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-e-health","tag-inteligencia-artificial","tag-medicina-personalizada","tag-riesgo-enfermedades","tag-salud-predictiva"],"yoast_head":"\n\u00bfQu\u00e9 pasar\u00e1 y cu\u00e1ndo con su salud? - thesmartcityjournal.com<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.thesmartcityjournal.com\/es\/e-health\/que-pasara-y-cuando-con-su-salud\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u00bfQu\u00e9 pasar\u00e1 y cu\u00e1ndo con su salud? - thesmartcityjournal.com\" \/>\n<meta property=\"og:description\" content=\"Un nuevo modelo de inteligencia artificial predice el riesgo de padecer ciertas enfermedades con a\u00f1os de antelaci\u00f3n La inteligencia artificial (IA) est\u00e1 revolucionando la medicina, ya que ayuda a los m\u00e9dicos a diagnosticar a los pacientes cada vez con mayor precisi\u00f3n. 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