{"id":12363,"date":"2021-02-04T09:22:40","date_gmt":"2021-02-04T15:22:40","guid":{"rendered":"https:\/\/saluddigital.com\/?p=12363"},"modified":"2025-10-21T13:04:51","modified_gmt":"2025-10-21T19:04:51","slug":"cientificos-utilizan-algoritmo-de-inteligencia-artificial-para-la-identificacion-de-bacterias","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/avance-de-la-ciencia\/cientificos-utilizan-algoritmo-de-inteligencia-artificial-para-la-identificacion-de-bacterias\/","title":{"rendered":"Scientists use Artificial Intelligence algorithm for bacterial identification"},"content":{"rendered":"
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Scientists at the University of Copenhagen have developed a method that uses artificial intelligence to identify bacteria found inside and outside the human body.<\/h2>\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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The scientific community has long investigated whether there is a link between gut bacteria and the occurrence of physical diseases such as diabetes or overweight. However, the large number of existing bacterial species makes research difficult. In response, researchers at the University of Copenhagen developed a technique based on artificial intelligence (AI) for the analysis of bacteria.<\/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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\u201cIn recent years we have discovered that bacteria have a great impact on the organism. A lot of research is being done in this field, but we have not yet identified all the bacteria found in the human body. Knowledge of bacteria is vital if we are to understand what is going on. That's where our technique can make a difference,\u201d explained Simon Rasmussen, a researcher and professor at the University of Copenhagen who co-authored research published in Nature Biotechnology.<\/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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Rammusen and his team recognize the importance of feces to better understand and study the bacteria that pass through the intestines. That's why they developed an AI algorithm, which completes the DNA strands of bacteria in feces. \u201cOne gram of faeces contains around a billion bacteria of 500-1000 different kinds. If we are able to reconstruct their DNA, it will give us an idea of the types of bacteria we are dealing with, what they are capable of and what they actually do. It is not the complete picture, but it is a huge step forward. And our algorithm is available to other researcher and free to use,\u201d he explains.\u00a0<\/p>

However, the algorithm also contemplates analysis of other substances or objects, for example, for the detection of microorganisms on surfaces. \u201cBut the algorithm can not only be used to study bacteria. You could also use it to analyse health data, for example. Say that you are working on increasing our knowledge of specific diseases. To help us do so we can collect an amount of information about the patient group, such as knowledge of their genetics, protein composition, substances in the blood and data from electronic records. Our artificial intelligence can then analyse these very different sets of data and identify patterns and connections. It holds great potential,\u201d explains the scientist.<\/p>

In the following link you can find the complete study in the scientific journal Nature: https:\/\/www.nature.com\/articles\/s41587-020-00777-4<\/a><\/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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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t BIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

WITH HEALTH <\/strong><\/p>

https:\/\/www.consalud.es\/tecnologia\/inteligencia-artificial-instrumento-mapear-bacterias-intestinales_91381_102.html<\/a><\/p>

\u00a0<\/strong><\/p>

UNIVERSITY OF COPENHAGEN <\/strong><\/p>

https:\/\/healthsciences.ku.dk\/newsfaculty-news\/2021\/01\/faeces-and-algorithms-artificial-intelligence-to-map-our-intestinal-bacteria\/<\/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":"

Cient\u00edficos de la Universidad de Copenhague han desarrollado un m\u00e9todo que utiliza inteligencia artificial para identificar las bacterias que se encuentran dentro y fuera del cuerpo humano. La comunidad cient\u00edfica ha investigado desde hace tiempo, si existe relaci\u00f3n entre las bacterias intestinales y la aparici\u00f3n de enfermedades f\u00edsicas como diabetes o sobrepeso. Sin embargo, la gran cantidad de especies de bacterias existentes dificulta la investigaci\u00f3n. Ante eso investigadores de la Universidad de Copenhague, desarrollaron una t\u00e9cnica basada en Inteligencia artificial (IA), para el an\u00e1lisis de bacterias. \u201cEn los \u00faltimos a\u00f1os hemos descubierto que las bacterias tienen un gran impacto en el organismo. Se est\u00e1n realizando muchas investigaciones en este campo, pero todav\u00eda no hemos identificado todas las bacterias que se encuentran en el cuerpo humano. El conocimiento de las bacterias es vital si queremos comprender lo que est\u00e1 sucediendo. Ah\u00ed es donde nuestra t\u00e9cnica puede marcar la diferencia\u201d, explic\u00f3 Simon Rasmussen, investigador y profesor de la Universidad de Copenhague coautor de una investigaci\u00f3n publicada en Nature Biotechnology. Rammusen y su equipo reconocen la importancia de las heces para comprender y estudiar de mejor manera las bacterias que pasan por los intestinos. Por eso desarrollaron un algoritmo de IA, que completa las cadenas de ADN de las bacterias de las heces. \u201cUn gramo de heces contiene alrededor de mil millones de bacterias de 500-1000 tipos diferentes. Si somos capaces de reconstruir su ADN, nos dar\u00e1 una idea de los tipos de bacterias con las que nos enfrentamos, de lo que son capaces y de lo que realmente hacen. No es la imagen completa, pero es un gran paso adelante. Y nuestro algoritmo est\u00e1 disponible para otros investigadores y es de uso gratuito\u201d, explica.  Sin embargo, el algoritmo tambi\u00e9n contempla an\u00e1lisis de otras sustancias u objetos, por ejemplo, para la detecci\u00f3n de microorganismos en superficies. \u201cEl algoritmo no solo se puede utilizar para estudiar bacterias. Tambi\u00e9n puede usarlo para analizar datos de salud, por ejemplo. Diga que est\u00e1 trabajando para aumentar nuestro conocimiento sobre enfermedades espec\u00edficas. Para ayudarnos a hacerlo, podemos recopilar una cantidad de informaci\u00f3n sobre el grupo de pacientes, como el conocimiento de su gen\u00e9tica, composici\u00f3n de prote\u00ednas, sustancias en la sangre y datos de registros electr\u00f3nicos. Luego, nuestra inteligencia artificial puede analizar estos conjuntos de datos muy diferentes e identificar patrones y conexiones. Tiene un gran potencial\u201d, explica el cient\u00edfico. En el siguiente enlace puede encontrar el estudio completo en la revista cient\u00edfica Nature: https:\/\/www.nature.com\/articles\/s41587-020-00777-4 BIBLIOGRAF\u00cdA CONSALUD https:\/\/www.consalud.es\/tecnologia\/inteligencia-artificial-instrumento-mapear-bacterias-intestinales_91381_102.html   UNIVERSIDAD DE COPENHAGUE https:\/\/healthsciences.ku.dk\/newsfaculty-news\/2021\/01\/faeces-and-algorithms-artificial-intelligence-to-map-our-intestinal-bacteria\/<\/p>","protected":false},"author":1,"featured_media":12364,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[152,156],"tags":[145],"class_list":["post-12363","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-avance-de-la-ciencia","category-big-data","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/12363","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=12363"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/12363\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/12364"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=12363"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=12363"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=12363"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}