{"id":21229,"date":"2021-09-21T09:21:31","date_gmt":"2021-09-21T14:21:31","guid":{"rendered":"https:\/\/saluddigital.com\/?p=21229"},"modified":"2025-10-21T12:00:53","modified_gmt":"2025-10-21T18:00:53","slug":"cientificos-de-stanford-crearon-un-sistema-que-predice-la-salud-inmunologica-a-traves-de-inteligencia-artificial","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/noticias\/cientificos-de-stanford-crearon-un-sistema-que-predice-la-salud-inmunologica-a-traves-de-inteligencia-artificial\/","title":{"rendered":"Stanford scientists created a system that predicts immune health through Artificial Intelligence"},"content":{"rendered":"
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Scientists and researchers at the Buck Institute for Research on Aging at Stanford University developed iAge, a \u201cclock\u201d that predicts variables and metrics related to longevity.<\/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 Buck Institute for Research on Aging<\/em> of Stanford University, is a study and research center specializing in biomedical research, aging and age-related diseases. Scientists from one of its research groups have developed an aging clock, which measures the inflammatory load, predicts multiple morbidity, frailty, immune health and cardiovascular aging.<\/p>

To develop the system age<\/em> used a system based on Artificial Intelligence trained through a blood immunoma study of 1001 participants. "Standard immune metrics that can be used to identify individuals who are most at risk of developing single or even multiple chronic diseases of aging have been growing rapidly," the researchers 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\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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The researchers have explained the importance of biology in their approach, managed to identify a greater number of metrics so that they now have the means to detect dysfunction in organs and act before the patient develops a disease.<\/p>

Through age<\/em> It will be possible to know the risk of a person developing various chronic diseases, this through the evaluation of the cumulative physiological damage to their immune system. \u201cAll of these people (participants) are healthy according to all available laboratory tests and clinical evaluations, but using iAge we were able to predict who is likely to have left ventricular hypertrophy (an enlargement and thickening of the walls of the ventricle chamber). main pumping of the heart) and vascular dysfunction,\u201d they 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\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\/tecnologia-sanitaria\/crean-reloj-ia-predice-salud-inmunologica_99641_102.html<\/a><\/p>

STANFORD<\/strong><\/p>

https:\/\/med.stanford.edu\/news\/all-news\/2021\/07\/immune-system-clock-predicts-illness-and-mortality<\/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 e investigadores del Buck Institute for Research on Aging de la universidad de Stanford desarrollaron iAge un \u201creloj\u201d que predice variables y m\u00e9tricas relacionadas con la longevidad. El Buck Institute for Research on Aging de la Universidad de Stanford, es un centro de estudios e investigaci\u00f3n especializado en la investigaci\u00f3n biom\u00e9dica, el envejecimiento y enfermedades relacionadas con la edad. Cient\u00edficos de uno de sus grupos de investigaci\u00f3n han desarrollado un reloj del envejecimiento, que mide la carga inflamatoria, predice la multi morbosidad, la fragilidad, la salud inmune y el envejecimiento cardiovascular. Para desarrollar el sistema iAge utilizaron un sistema basado en Inteligencia Artificial entrenado a trav\u00e9s de estudio de inmunoma sangu\u00edneo de 1001 participantes. \u201cLas m\u00e9tricas inmunes est\u00e1ndar que se pueden utilizar para identificar a los individuos que est\u00e1n m\u00e1s en riesgo de desarrollar enfermedades cr\u00f3nicas solas o a\u00fan m\u00faltiples del envejecimiento han estado creciendo mucho\u201d, explicaron los investigadores. Los investigadores han explicado la importancia de la biolog\u00eda en su acercamiento logr\u00f3 identificar un mayor n\u00famero de m\u00e9tricas por lo que ahora cuentan con los medios para la detecci\u00f3n de disfunci\u00f3n en \u00f3rganos y actuar antes de que el paciente desarrolle una enfermedad. A trav\u00e9s de iAge ser\u00e1 posible conocer el riesgo de que una persona desarrolle diversas enfermedades cr\u00f3nicas, esto a trav\u00e9s de la evaluaci\u00f3n del da\u00f1o fisiol\u00f3gico acumulativo a su sistema inmunol\u00f3gico. \u201cTodas estas personas (los participantes) est\u00e1n sanas de acuerdo con todas las pruebas de laboratorio y evaluaciones cl\u00ednicas disponibles, pero al usar iAge pudimos predecir qui\u00e9n es probable que sufra de hipertrofia ventricular izquierda (un agrandamiento y engrosamiento de las paredes de la c\u00e1mara de bombeo principal del coraz\u00f3n) y disfunci\u00f3n vascular\u201d, explicaron. BIBLIOGRAF\u00cdA CONSALUD https:\/\/www.consalud.es\/tecnologia\/tecnologia-sanitaria\/crean-reloj-ia-predice-salud-inmunologica_99641_102.html STANFORD https:\/\/med.stanford.edu\/news\/all-news\/2021\/07\/immune-system-clock-predicts-illness-and-mortality<\/p>","protected":false},"author":1,"featured_media":21231,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3395,3393,160],"tags":[145],"class_list":["post-21229","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-apps-moviles-e-internet-de-las-cosas","category-inteligencia-artificial-y-ciencia","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/21229","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=21229"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/21229\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/21231"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=21229"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=21229"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=21229"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}