{"id":1312,"date":"2024-04-25T14:15:39","date_gmt":"2024-04-25T12:15:39","guid":{"rendered":"http:\/\/absys.dacya.ucm.es\/?page_id=1312"},"modified":"2024-05-29T12:23:59","modified_gmt":"2024-05-29T10:23:59","slug":"projects","status":"publish","type":"page","link":"http:\/\/absys.dacya.ucm.es\/?page_id=1312&lang=en","title":{"rendered":"Projects"},"content":{"rendered":"\n

Proyectos<\/h2>\n\n\n\n
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Glucmodel <\/strong><\/h2>\n\n\n\n

glUCModel is a service destinated to diabetes patients, that predicts the level of glucose in a near future, between 30 and 120 minutes after, so that the patients knows if he\/she needs to supply insulin or not. The patient has the possibility to choose one of our prediction models, that are pre- trained with bunch of real patients, depending on the type of parameters wanted to train. Developed by the ABSys research group of Universidad Complutense de Madrid.<\/p>\n<\/div>\n\n\n\n

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Aictuari<\/h2>\n\n\n\n

Aictuari is an AI predictive system designed for the insurance industry with the latest AI techniques, built to detect hidden patterns in your policy portfolio and new business streams.<\/p>\n\n\n\n

Aictuari predicts the future and drastically improves decision taking in pricing, suscription and renewing processes.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Microstress<\/h2>\n\n\n\n

In this project, the aim is to develop a methodology that allows obtaining maps of microscopic stresses, particularly in aluminum alloys. The procedure will use experimental diffraction results from large European facilities, mainly through neutron diffraction, and will be analyzed using computational techniques that handle a large number of variables (Evolutionary Algorithms).<\/p>\n<\/div>\n\n\n\n

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Genobia<\/h2>\n\n\n\n

Design, through artificial intelligence, of predictive algorithms for the identification of individuals at risk of developing overweight\/obesity and their associated pathologies: Contribution of genetic analysis.(GenObIA\u00ad-CM) S2017\/BMD\u00ad-3773.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Proyectos Glucmodel glUCModel is a service destinated to diabetes patients, that predicts the level of glucose in a near future, between 30 and 120 minutes after, so that the patients knows if he\/she needs to supply insulin or not. The patient has the possibility to choose one of our prediction models, that are pre- trained…<\/p>\n

Seguir leyendo Projects<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1312","page","type-page","status-publish","hentry","entry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"http:\/\/absys.dacya.ucm.es\/index.php?rest_route=\/wp\/v2\/pages\/1312","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/absys.dacya.ucm.es\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/absys.dacya.ucm.es\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/absys.dacya.ucm.es\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/absys.dacya.ucm.es\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1312"}],"version-history":[{"count":5,"href":"http:\/\/absys.dacya.ucm.es\/index.php?rest_route=\/wp\/v2\/pages\/1312\/revisions"}],"predecessor-version":[{"id":1440,"href":"http:\/\/absys.dacya.ucm.es\/index.php?rest_route=\/wp\/v2\/pages\/1312\/revisions\/1440"}],"wp:attachment":[{"href":"http:\/\/absys.dacya.ucm.es\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1312"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}