{"id":534883,"date":"2026-11-12T00:37:13","date_gmt":"2026-11-12T00:37:13","guid":{"rendered":"http:\/\/6af4f4ec3989285cafdb21d4"},"modified":"2026-11-12T00:37:13","modified_gmt":"2026-11-12T00:37:13","slug":"asi-funciona-alphagenome-2-la-nueva-ia-de-google-para-investigar-el-origen-de-las-enfermedades","status":"publish","type":"post","link":"https:\/\/sarmiento24h.com\/?p=534883","title":{"rendered":"As\u00ed funciona AlphaGenome 2, la nueva IA de Google para investigar el origen de las enfermedades"},"content":{"rendered":"

Google DeepMind present\u00f3 AlphaGenome 2<\/strong>, un modelo de inteligencia artificial (IA) que promete revolucionar la investigaci\u00f3n cient\u00edfica al convertirse en \u201cuna nueva y poderosa herramienta para descubrir los factores celulares que impulsan las enfermedades\u201d, seg\u00fan sus desarrolladores.<\/p>\n

\u201cNuestro modelo de secuenciaci\u00f3n de ADN de \u00faltima generaci\u00f3n une la biolog\u00eda unicelular y la gen\u00e9tica al predecir c\u00f3mo las variantes gen\u00e9ticas afectan a cientos de tipos de c\u00e9lulas humanas\u201d, explica el equipo de desarrollo en una nota de prensa.<\/p>\n

La literatura cient\u00edfica explica que todas las c\u00e9lulas del cuerpo humano contienen pr\u00e1cticamente el mismo c\u00f3digo gen\u00e9tico. Sin embargo, no todas utilizan los mismos genes. Cada tipo celular activa o desactiva diferentes grupos de ellos de acuerdo con su funci\u00f3n.<\/p>\n

\n
\n
\"genoma<\/picture><\/span><\/div>\n
\n
Esta nueva IA de Google ayuda a cient\u00edficos a entender mejor el origen gen\u00e9tico de enfermedades raras<\/a><\/div>\n

AlphaGenome es un modelo de aprendizaje profundo desarrollado por Google DeepMind que puede interpretar secuencias del genoma no codificante y anticipar m\u00faltiples efectos biol\u00f3gicos de manera simult\u00e1nea.<\/p>\n<\/div>\n<\/div>\n

\n

Este proceso, conocido como expresi\u00f3n gen\u00e9tica, determina qu\u00e9 genes est\u00e1n activos y qu\u00e9 funciones desempe\u00f1a cada c\u00e9lula. Proyectos previos<\/a> como el AlphaGenome Atlas permiten identificar el comportamiento de millones de c\u00e9lulas. Sin embargo, todav\u00eda no se comprende del todo c\u00f3mo las peque\u00f1as modificaciones del ADN alteran esa actividad ni c\u00f3mo estos cambios pueden influir en la aparici\u00f3n de determinadas enfermedades o en el desarrollo de ciertos rasgos humanos.<\/p>\n

Esta es precisamente la brecha de conocimiento que busca abordar AlphaGenome 2, pues permite identificar c\u00f3mo peque\u00f1as variaciones en la secuencia gen\u00e9tica pueden modificar la actividad de determinados genes en c\u00e9lulas espec\u00edficas. Esto abre nuevas v\u00edas para comprender mejor los mecanismos biol\u00f3gicos relacionados con distintas enfermedades.<\/p>\n

\u00bfC\u00f3mo funciona AlphaGenome 2?<\/h2>\n

El algoritmo se basa en los avances de AlphaGenome y AlphaGenome Atlas, desarrollados previamente por Google DeepMind<\/a>. El primero es un modelo capaz de predecir c\u00f3mo las variantes gen\u00e9ticas afectan la actividad molecular en diferentes tejidos del organismo, mientras que el segundo es una plataforma que re\u00fane predicciones sobre los 9,000 millones de posibles cambios de una sola letra en el genoma humano.<\/strong><\/p>\n

Ambos desarrollos permiten a los investigadores identificar y estudiar las variaciones gen\u00e9ticas que podr\u00edan influir en la aparici\u00f3n de enfermedades raras, caracter\u00edsticas humanas complejas y algunos procesos fundamentales de la biolog\u00eda.<\/p>\n

El equipo de Google precisa que \u201cestas herramientas ayudan a los investigadores a priorizar e interpretar los efectos de las variantes, impulsando descubrimientos en enfermedades raras, rasgos complejos y biolog\u00eda fundamental\u201d.<\/p>\n

El principal avance de AlphaGenome 2 radica en que, en lugar de analizar \u00fanicamente el comportamiento promedio de los genes en tejidos completos, puede estudiar tipos y estados celulares individuales.<\/p>\n

El modelo fue construido a partir de AlphaGenome, pero incorpora una arquitectura redise\u00f1ada y un proceso de entrenamiento que incluy\u00f3 m\u00e1s de 100 millones de perfiles de c\u00e9lulas individuales procedentes de 68 tejidos humanos.<\/p>\n

Gracias a esta actualizaci\u00f3n, seg\u00fan el equipo de Google DeepMind, el nuevo modelo casi duplica la capacidad de su antecesor<\/a> para identificar variantes gen\u00e9ticas que modifican la expresi\u00f3n de los genes en las c\u00e9lulas.<\/strong><\/p>\n

En la pr\u00e1ctica, seg\u00fan sus desarrolladores, \u201cpermite a los investigadores predecir los efectos de las variantes en c\u00e9lulas relevantes para la enfermedad que pasar\u00edan desapercibidos en los modelos de tejidos generales, as\u00ed como realizar predicciones para estados celulares y de enfermedad que el modelo no hab\u00eda considerado anteriormente\u201d.<\/p>\n

De esta manera, la actualizaci\u00f3n facilita el uso de los atlas celulares no solo como mapas descriptivos de las caracter\u00edsticas de las c\u00e9lulas, sino tambi\u00e9n como recursos capaces de realizar predicciones<\/strong> sobre la gen\u00e9tica humana.<\/p>\n

El modelo est\u00e1 disponible para investigaci\u00f3n no comercial a trav\u00e9s de la API de AlphaGenome, mientras que el acceso para proyectos de investigaci\u00f3n comercial se encuentra en una fase preliminar privada.<\/p>\n","protected":false},"excerpt":{"rendered":"

Google DeepMind present\u00f3 AlphaGenome 2, un modelo...<\/p>\n","protected":false},"author":1,"featured_media":534884,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[46],"tags":[],"class_list":["post-534883","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tecnologia"],"yoast_head":"\nAs\u00ed funciona AlphaGenome 2, la nueva IA de Google para investigar el origen de las enfermedades - 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