{"id":15222,"date":"2019-04-16T08:42:03","date_gmt":"2019-04-16T14:42:03","guid":{"rendered":"http:\/\/otech.uaeh.edu.mx\/noti\/?p=15222"},"modified":"2019-04-16T09:17:21","modified_gmt":"2019-04-16T15:17:21","slug":"pruebas-con-inteligencia-artificial-ayudan-a-determinar-mas-casos-de-cancer-tratables","status":"publish","type":"post","link":"https:\/\/otech.uaeh.edu.mx\/noti\/ia\/pruebas-con-inteligencia-artificial-ayudan-a-determinar-mas-casos-de-cancer-tratables\/","title":{"rendered":"Pruebas con inteligencia artificial ayudan a determinar m\u00e1s casos de c\u00e1ncer tratables"},"content":{"rendered":"
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Usar inteligencia artificial para revelar c\u00e9lulas tumorales con capacidad reducida para reparar su propio ADN\u00a0puede ayudar a identificar a decenas de miles de pacientes que se beneficiar\u00edan<\/strong>\u00a0del tratamiento con medicamentos de AstraZeneca Plc y GlaxoSmithKline Plc, afirman investigadores.<\/span><\/p>\n<\/div>\n<\/div>\n

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De acuerdo con un estudio realizado por cient\u00edficos de la Escuela de Medicina de Harvard, en Boston, y la Universidad de Cambridge, en el Reino Unido, los an\u00e1lisis gen\u00e9ticos con un algoritmo de aprendizaje autom\u00e1tico ayudan a detectar c\u00e1nceres vulnerables al tratamiento con medicamentos llamados inhibidores PARP.<\/p>\n<\/div>\n<\/div>\n

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La\u00a0<\/span>oncolog\u00eda se encuentra entre los campos de m\u00e1s r\u00e1pido crecimiento en la industria farmac\u00e9utica<\/strong>, con una variedad de nuevos tratamientos que han aumentado las ventas anuales a alrededor de US$133.000 millones. Los m\u00e9dicos y cient\u00edficos est\u00e1n buscando m\u00e1s pistas sobre c\u00f3mo implementar los costosos medicamentos que a veces reducen los tumores en solo una fracci\u00f3n de los pacientes.<\/p>\n<\/div>\n<\/div>\n

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Los onc\u00f3logos a menudo determinan si los pacientes recibir\u00e1n inhibidores PARP como Lynparza de Astra o Zejula de Glaxo mediante pruebas de defectos en ciertas mutaciones gen\u00e9ticas que impiden a las c\u00e9lulas arreglar su propio ADN mediante un mecanismo espec\u00edfico. Sin embargo, muchos tumores sin esas mutaciones tambi\u00e9n pueden tener el mismo d\u00e9ficit de reparaci\u00f3n gen\u00e9tica, pero son m\u00e1s dif\u00edciles de encontrar porque no hay una prueba espec\u00edfica.<\/p>\n<\/div>\n<\/div>\n

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El algoritmo encuentra patrones en los tumores que muestran si tienen una deficiencia en la reparaci\u00f3n hom\u00f3loga del ADN<\/strong>, lo que los hace susceptibles al tratamiento con inhibidores PARP, se\u00f1alan investigadores liderados por Doga Gulhan, de Harvard, en la revista Nature Genetics.\u00a0<\/span>La t\u00e9cnica puede aplicarse a las pruebas gen\u00e9ticas que ya se realizan para muchos tumores<\/strong>, se\u00f1alaron los investigadores.<\/p>\n<\/div>\n<\/div>\n

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De 270.000 c\u00e1nceres de mama diagnosticados en 2018, alrededor de 13.500 a 27.000 se atribuyeron a las llamadas mutaciones BRCA y, por tanto, podr\u00edan atacarse con inhibidores PARP. Mediante el an\u00e1lisis de simulaci\u00f3n por computadora, identificaron hasta 54.000 m\u00e1s casos con genes BRCA normales que ten\u00edan defectos en la reparaci\u00f3n hom\u00f3loga y podr\u00edan tratarse con los nuevos medicamentos contra el c\u00e1ncer.<\/p>\n<\/div>\n<\/div>\n

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Los analistas estiman las ventas de Lynparza en US$1.100 millones este a\u00f1o y las de Zejula en US$314 millones. Se estima que Rubraca de Clovis Oncology Inc., otro inhibidor PARP, vender\u00e1 US$147 millones.<\/p>\n

Fuente: Infobae<\/strong><\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Usar inteligencia artificial para revelar c\u00e9lulas tumorales con capacidad reducida para reparar su propio ADN\u00a0puede ayudar a identificar a decenas de miles de pacientes que se beneficiar\u00edan\u00a0del tratamiento con medicamentos de AstraZeneca Plc y GlaxoSmithKline Plc, afirman investigadores.<\/p>\n","protected":false},"author":1,"featured_media":15223,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[361],"tags":[],"class_list":["post-15222","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ia"],"yoast_head":"\nPruebas con inteligencia artificial ayudan a determinar m\u00e1s casos de c\u00e1ncer tratables - Observatorio Tecnol\u00f3gico de Hidalgo<\/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:\/\/otech.uaeh.edu.mx\/noti\/ia\/pruebas-con-inteligencia-artificial-ayudan-a-determinar-mas-casos-de-cancer-tratables\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pruebas con inteligencia artificial ayudan a determinar m\u00e1s casos de c\u00e1ncer tratables - 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