{"id":30883,"date":"2022-08-11T08:44:56","date_gmt":"2022-08-11T13:44:56","guid":{"rendered":"https:\/\/saluddigital.com\/?p=30883"},"modified":"2025-10-20T11:23:59","modified_gmt":"2025-10-20T17:23:59","slug":"modelo-computacional-es-utilizado-para-descubrir-biomarcadores-de-control-glucemico-en-diabetes-tipo-1","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/modelo-computacional-es-utilizado-para-descubrir-biomarcadores-de-control-glucemico-en-diabetes-tipo-1\/","title":{"rendered":"Computational model is used to discover biomarkers of glycemic control in type 1 diabetes"},"content":{"rendered":"
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Researchers propose a scalable computational framework to discover digital biomarkers of glycemic control in people living with type 1 diabetes.<\/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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Digital biomarkers are defined as objective, physically quantifiable and behavioral data that are collected and measured through portable digital devices such as wearables or other mobile devices. Medical research uses digital biomarkers to explain, search for relationships, or predict data about human health. In addition, they also have the role of being clinically significant objective data due to the precision in their capture.<\/p>

In this sense, biomarkers can be transformative for the standard of care for chronic diseases that depend on various variables for their control. Recently, researchers at Dartmouth College in the United States developed a computational framework to find digital biomarkers of glycemic control.<\/p>

Good glycemic control is one of the main goals of people living with diabetes. To maintain blood glucose levels in a good range, it is necessary to measure and control various variables such as diet, medications, physical activity, among others.<\/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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Research<\/a> detail that a person living with diabetes makes an average of more than 100 decisions related to their health per day, and dedicates 58 minutes daily to their personal care related to diabetes. In this way, the use of digital devices and tools such as continuous glucose monitors, insulin pumps, among others, are of great support for people who live with this condition. Both devices are minimally invasive and have clinical validations, which allow constant control of blood glucose, as well as semi-automatic administration of insulin.<\/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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Authors Abigail Bartolom\u00e9 and Temiloluwa Prioleau collected more than 79,000 days of digital data to model the computational framework. The objectives were: to define the characteristics of digital data; model digital biomarkers and glycemic control; rate glycemic control with digital biomarkers; and finally identify the biomarkers with the greatest impact.<\/p>

Data were obtained from 100 subjects with insulin pumps (53,923 days) and 150 subjects with a device for constant blood glucose monitoring (25,886 days). Participants' ages ranged from 2 to 76 years with 0 to 60 years living with diabetes. Thanks to the data obtained, the researchers were able to define the objective characteristics and their impact, as well as classify glycemic control and identify the most important digital biomarkers.<\/p>

Among the most important findings that the research showed was that glycemic control varies according to the patient's age group and that children and young people between 2 and 14 years of age obtained the worst glycemic control results, as well as characteristics related to total daily insulin . Learn more about this research and its results at the following link: https:\/\/www.nature.com\/articles\/s41746-022-00656-z<\/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

KARGER <\/strong><\/p>

https:\/\/www.karger.com\/Journal\/guidelines\/271954<\/a><\/p>

NATURE<\/strong><\/p>

https:\/\/www.nature.com\/articles\/s41746-022-00656-z<\/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":"

Investigadores proponen un marco computacional escalable para descubrir biomarcadores digitales de control gluc\u00e9mico en personas que viven con diabetes tipo 1. Los biomarcadores digitales, son definidos como datos objetivos, f\u00edsicamente cuantificables y de comportamiento, que son recopilados y medidos a trav\u00e9s de dispositivos digitales port\u00e1tiles como wearables u otros dispositivos m\u00f3viles. La investigaci\u00f3n m\u00e9dica utiliza los biomarcadores digitales para explicar, buscar relaciones o predecir datos sobre la salud humana. Adem\u00e1s, tambi\u00e9n tienen el papel de ser datos objetivos cl\u00ednicamente significativos debido a la precisi\u00f3n en su captura. En este sentido los biomarcadores pueden ser transformadores para el est\u00e1ndar de atenci\u00f3n de enfermedades cr\u00f3nicas que dependen de diversas variables para su control. Recientemente, investigadoras del Darmouth College en Estados Unidos, desarrollaron un marco computacional para encontrar biomarcadores digitales de control gluc\u00e9mico. El buen control gluc\u00e9mico es uno de los objetivos principales de las personas que viven con diabetes. Para mantener en un buen rango los niveles de glucosa en sangre es necesario medir y controlar diversas variables como la alimentaci\u00f3n, medicamentos, actividad f\u00edsica, entre otras. Investigaciones detallan que una persona que vive con diabetes toma en promedio m\u00e1s de 100 decisiones relacionadas con su salud al d\u00eda, y dedican en 58 minutos diariamente su cuidado personal relacionado con diabetes. De esta forma, el uso de dispositivos y herramientas digitales como monitores continuos de glucosa, bombas de insulina, entre otras, son de gran apoyo para las personas que viven con esta condici\u00f3n. Ambos dispositivos son m\u00ednimamente invasivos y cuentan con validaciones cl\u00ednicas, que permiten control constante de la glucosa en sangre, as\u00ed como la administraci\u00f3n semiautom\u00e1tica de insulina. Las autoras Abigail Bartolom\u00e9 y Temiloluwa Prioleau, recopilaron m\u00e1s de 79 mil d\u00edas de datos digitales para modelar el marco computacional. Los objetivos fueron: definir las caracter\u00edsticas de los datos digitales; modelar los biomarcadores digitales y el control gluc\u00e9mico; calificar el control gluc\u00e9mico con los biomarcadores digitales; y finalmente identificar los biomarcadores de mayor impacto. Los datos fueron obtenidos de 100 sujetos con bombas de insulina (53,923 d\u00edas) y 150 sujetos con un dispositivo para el monitoreo constante de la glucosa en sangre (25,886 d\u00edas). La edad de los participantes fue de 2 a 76 a\u00f1os con 0 a 60 a\u00f1os viviendo con diabetes.  Gracias a los datos obtenidos, las investigadoras lograron definir las caracter\u00edsticas objetivas y su impacto, as\u00ed como clasificar el control gluc\u00e9mico y lograr identificar los biomarcadores digitales m\u00e1s importantes. Entre hallazgos m\u00e1s importantes que mostr\u00f3 la investigaci\u00f3n fue que el control gluc\u00e9mico var\u00eda seg\u00fan el grupo de edad del paciente y que los ni\u00f1os y j\u00f3venes de entre 2 y 14 a\u00f1os obtuvieron los peores resultados de control gluc\u00e9mico, as\u00ed como caracter\u00edsticas relacionadas con la insulina diaria total. Conoce m\u00e1s sobre esta investigaci\u00f3n y sus resultados en el siguiente enlace: https:\/\/www.nature.com\/articles\/s41746-022-00656-z BIBLIOGRAF\u00cdA KARGER https:\/\/www.karger.com\/Journal\/guidelines\/271954 NATURE https:\/\/www.nature.com\/articles\/s41746-022-00656-z<\/p>","protected":false},"author":1,"featured_media":30884,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3399,156,160],"tags":[145],"class_list":["post-30883","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-analitica","category-big-data","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/30883","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=30883"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/30883\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/30884"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=30883"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=30883"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=30883"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}