{"id":30442,"date":"2022-08-03T09:41:32","date_gmt":"2022-08-03T14:41:32","guid":{"rendered":"https:\/\/saluddigital.com\/?p=30442"},"modified":"2025-10-20T11:25:06","modified_gmt":"2025-10-20T17:25:06","slug":"universidad-de-arkansas-los-institutos-nacionales-de-salud-y-google-desarrollan-modelo-para-la-investigacion-biomedica","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/universidad-de-arkansas-los-institutos-nacionales-de-salud-y-google-desarrollan-modelo-para-la-investigacion-biomedica\/","title":{"rendered":"University of Arkansas, National Institutes of Health and Google develop model for biomedical research"},"content":{"rendered":"
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Data scientists from the University of Arkansas (UARK) will develop an Artificial Intelligence (AI) model for biomedical research.<\/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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UARK researchers will develop a project of learning modules for biomedical research with the support of the National Institutes of Health (NIH) and Google. The objective of the modules will be to support biomedical researchers in their learning about the importance of machine learning and AI as important tools in research.<\/p>

For example, biomedical research benefits from the application of machine learning or machine learning<\/em> by optimizing data analysis for different types of medical and scientific images.<\/p>

For the development of the project, Justin Zhan, professor at the University of Arkansas, who is the principal investigator of this project, received funds of more than 140 thousand dollars from the National Institute of General Medical Sciences. He also achieved a partnership with Kyle Quinn, professor of biomedical engineering, and Larry Cornett, who heads the Arkansas IDeA Network, a UARK Biomedical Research network.<\/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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In this way, the Arkansas IDeA Network will develop case studies for learning modules, using data science and image cores. \u201cNew technology is rapidly expanding the number and variety of imaging modalities, for example, that can tell doctors much more about their patients. But this transformation has created challenges, particularly with the storage and management of massive data sets. Furthermore, while the big data revolution transforms biology and medicine into data-driven sciences, traditional education is slow to respond. Addressing this deficiency is part of what we are trying to do,\u201d Zhan explained.<\/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

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Arkansas researchers will also be supported by software engineers from Google and NIH to address various AI-driven research goals. "The cloud computing modules developed by Zhan's team will help researchers understand how artificial intelligence can be used in biomedical sciences to analyze big data," the university explained in a statement.<\/p>

Studies related to the identification of features in massive sets of biomedical images could help researchers and clinicians, such as implementing AI in their work on a regular basis.<\/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

UARK<\/strong><\/p>

https:\/\/news.uark.edu\/articles\/60519\/researchers-partner-with-nih-and-google-to-develop-ai-learning-modules<\/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 datos de la Universidad de Arkansas (UARK) desarrollar\u00e1n un modelo de Inteligencia Artificial (IA), para la investigaci\u00f3n biom\u00e9dica. Investigadores de la UARK desarrollar\u00e1n un proyecto de m\u00f3dulos de aprendizaje para la investigaci\u00f3n biom\u00e9dica con apoyo de los Institutos Nacionales de Salud (NIH) y Google. El objetivo de los m\u00f3dulos ser\u00e1 apoyar a los investigadores biom\u00e9dicos en su aprendizaje sobre la importancia de machine learning y la IA como herramientas importantes en la investigaci\u00f3n. Por ejemplo, la investigaci\u00f3n biom\u00e9dica se ve beneficiada con la aplicaci\u00f3n de aprendizaje autom\u00e1tico o machine learning al optimizar el an\u00e1lisis de datos para diferentes tipos de im\u00e1genes m\u00e9dicas y cient\u00edficas. Para el desarrollo del proyecto Justin Zhan profesor de la Universidad de Arkansas, quien es el investigador principal de este proyecto recibi\u00f3 fondos de m\u00e1s de 140 mil d\u00f3lares por parte del Instituto Nacional de Ciencias M\u00e9dicas Generales. Asimismo, logr\u00f3 una asociaci\u00f3n con Kyle Quinn, profesor de ingenier\u00eda biom\u00e9dica y Larry Cornett, quien dirige la Arkansas IDeA Network una red de Investigaci\u00f3n Biom\u00e9dica de la UARK. De esta forma, Arkansas IDeA Network, desarrollar\u00e1 estudios de caso para m\u00f3dulos de aprendizaje, utilizando ciencia de datos y n\u00facleos de im\u00e1genes. \u201cLa nueva tecnolog\u00eda est\u00e1 expandiendo r\u00e1pidamente la cantidad y variedad de modalidades de im\u00e1genes, por ejemplo, que pueden decirles a los m\u00e9dicos mucho m\u00e1s sobre sus pacientes. Pero esta transformaci\u00f3n ha creado desaf\u00edos, particularmente con el almacenamiento y la gesti\u00f3n de conjuntos de datos masivos. Adem\u00e1s, mientras que la revoluci\u00f3n de los grandes datos transforma la biolog\u00eda y la medicina en ciencias basadas en datos, la educaci\u00f3n tradicional est\u00e1 respondiendo lentamente. Abordar esta deficiencia es parte de lo que estamos tratando de hacer\u201d, explic\u00f3 Zhan. Los investigadores de Arkansas tambi\u00e9n contar\u00e1n con el apoyo de ingenieros de software de Google y de NIH para abordar diversos objetivos de la investigaci\u00f3n impulsada por IA. \u201cLos m\u00f3dulos de computaci\u00f3n en la nube desarrollados por el equipo de Zhan ayudar\u00e1n a los investigadores a comprender c\u00f3mo se puede utilizar la inteligencia artificial en las ciencias biom\u00e9dicas para analizar grandes datos\u201d, explic\u00f3 la universidad en un comunicado. Los estudios relacionados con la identificaci\u00f3n de caracter\u00edsticas en conjuntos masivos de im\u00e1genes biom\u00e9dicas, podr\u00eda ayudar a los investigadores y m\u00e9dicos, como implementar la IA en su trabajo de manera regular. BIBLIOGRAF\u00cdA UARK https:\/\/news.uark.edu\/articles\/60519\/researchers-partner-with-nih-and-google-to-develop-ai-learning-modules<\/p>","protected":false},"author":1,"featured_media":30444,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[156,160],"tags":[145],"class_list":["post-30442","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/30442","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=30442"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/30442\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/30444"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=30442"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=30442"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=30442"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}