{"id":23637,"date":"2022-01-21T08:40:08","date_gmt":"2022-01-21T14:40:08","guid":{"rendered":"https:\/\/saluddigital.com\/?p=23637"},"modified":"2025-10-21T10:26:32","modified_gmt":"2025-10-21T16:26:32","slug":"google-avanza-en-investigacion-genomica-para-mejorar-tratamiento-de-enfermedades","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/avance-de-la-ciencia\/google-avanza-en-investigacion-genomica-para-mejorar-tratamiento-de-enfermedades\/","title":{"rendered":"Google advances in genomic research to improve treatment of diseases"},"content":{"rendered":"
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Genomic sequencing according to the Centers for Disease Control and Prevention (CDC), is a process that determines the order or sequence of nucleotides in each of the genes present in the genome of a virus. Through genome sequencing, it is possible to better understand some diseases and make more accurate diagnoses.<\/p>

Genome sequencing is currently used in medical care for the diagnosis of rare genetic diseases that increase the risk of breast cancer or pulmonary arterial hypertension.<\/p>

In this sense, Google Health is applying technology in the field of genomics, in order to identify diseases of this type. They have recently partnered with Pacific Bioscienses to advance the development of genomic technologies and clinical research.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Google also worked with the Genomics Institute at the University of California, Santa Cruz, resulting in a new method called PEPPER-Margin-DeepVariant<\/a>, which parses data for sequencers Oxford Naopore<\/em>, the fastest commercial sequencing technology. Thus was published a study<\/a> at New England Journal of Medicine<\/em>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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These types of advances have also promoted the use of machine learning in data sequencing processes. \u201cWe believe that machine learning can further unlock the potential of these instruments. Our new research partnership with Pacific Biosciences (PacBio), a developer of genome sequencing platforms, is a great example of how Google's machine learning and algorithm development tools can help researchers get more insights from data from sequencing\u201d, explains the Google blog.<\/p>

However, one of the goals of this advance according to Google is to support more equitable genomics resources and methods. For example, in the development of genomic studies, the participation of a more diverse population is considered, since historically this type of study has focused on patients of European descent.<\/p>

\u201cWe hope that our work in developing and sharing these methods with those in the genomics field will improve general health and understanding of biology for all. Working together with our collaborators, we can apply this work to real-world applications\u201d, concludes Google's entry, signed by Andres Carrol, product leader and Pi Chuan Chang, software engineer, both in the Genomics division of Google Health.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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GOOGLE<\/strong><\/p>

https:\/\/blog.google\/technology\/health\/advancing-genomics-better-understand-and-treat-disease\/<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

La secuenciaci\u00f3n gen\u00f3mica seg\u00fan los Centros de Control y Prevenci\u00f3n de Enfermedades (CDC), es un proceso que determina el orden o la secuencia de los nucle\u00f3tidos en cada uno de los genes presentes en el genoma de un virus. A trav\u00e9s de la secuenciaci\u00f3n del genoma, es posible comprender mejor algunas enfermedades y realizar diagn\u00f3sticos m\u00e1s acertados. Actualmente la secuenciaci\u00f3n del genoma es utilizada en la atenci\u00f3n m\u00e9dica para el diagn\u00f3stico de enfermedades gen\u00e9ticas raras, que elevan el riesgo de c\u00e1ncer de mama o hipertensi\u00f3n arterial pulmonar. En este sentido Google Health, se encuentra aplicando tecnolog\u00eda en el campo de la gen\u00f3mica, para lograr identificar enfermedades de este tipo. Recientemente, se han asociado con Pacific Bioscienses para avanzar en el desarrollo de tecnolog\u00edas gen\u00f3micas y la investigaci\u00f3n cl\u00ednica. Asimismo, Google trabaj\u00f3 con el Instituto de Gen\u00f3mica de la Universidad de California en Santa Cruz, asaci\u00f3n que dio como resultado un nuevo m\u00e9todo llamado PEPPER-Margin-DeepVariant, que analiza datos para secuenciadores Oxford Naopore, la tecnolog\u00eda comercial de secuenciaci\u00f3n m\u00e1s r\u00e1pida. De esta forma fue publicado un estudio en New England Journal of Medicine. Este tipo de avances tambi\u00e9n han potenciado el uso de aprendizaje autom\u00e1tico, en los procesos de secuenciaci\u00f3n de datos. \u201cCreemos que el aprendizaje autom\u00e1tico puede desbloquear a\u00fan m\u00e1s el potencial de estos instrumentos. Nuestra nueva asociaci\u00f3n de investigaci\u00f3n con Pacific Biosciences (PacBio), un desarrollador de plataformas de secuenciaci\u00f3n gen\u00f3mica, es un excelente ejemplo de c\u00f3mo las herramientas de aprendizaje autom\u00e1tico y desarrollo de algoritmos de Google pueden ayudar a los investigadores a obtener m\u00e1s informaci\u00f3n de los datos de secuenciaci\u00f3n\u201d, explica el blog de Google. Sin embargo, uno de los objetivos de este avance seg\u00fan Google es apoyar recursos y m\u00e9todos de gen\u00f3mica m\u00e1s equitativos. Por ejemplo, en el desarrollo de estudios gen\u00f3micos, se plantea la participaci\u00f3n de una poblaci\u00f3n m\u00e1s diversa, ya que hist\u00f3ricamente este tipo de estudios se han centrado en pacientes de ascendencia europea. \u201cEsperamos que nuestro trabajo al desarrollar y compartir estos m\u00e9todos con aquellos en el campo de la gen\u00f3mica mejore la salud general y la comprensi\u00f3n de la biolog\u00eda para todos. Trabajando junto con nuestros colaboradores, podemos aplicar este trabajo a aplicaciones del mundo real\u201d, finaliza la entrada de Google, firmada por Andres Carrol, l\u00edder de producto y Pi Chuan Chang, ingeniero de software, ambos en la divisi\u00f3n de Gen\u00f3mica de Google Health. BIBLIOGRAF\u00cdA GOOGLE https:\/\/blog.google\/technology\/health\/advancing-genomics-better-understand-and-treat-disease\/<\/p>","protected":false},"author":1,"featured_media":23638,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[152,156,3393,160],"tags":[145],"class_list":["post-23637","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-avance-de-la-ciencia","category-big-data","category-inteligencia-artificial-y-ciencia","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/23637","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=23637"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/23637\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/23638"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=23637"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=23637"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=23637"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}