{"id":60926,"date":"2022-12-15T08:20:46","date_gmt":"2022-12-15T12:20:46","guid":{"rendered":"http:\/\/www.ing.una.py\/?p=54894"},"modified":"2024-12-05T12:56:05","modified_gmt":"2024-12-05T15:56:05","slug":"investigador-de-la-fiuna-publica-en-edicion-especial-de-inteligencia-artificial-aplicada-a-la-medicina-en-cell-reports-methods","status":"publish","type":"post","link":"https:\/\/www.ing.una.py\/FIUNA3\/?p=60926","title":{"rendered":"Investigador de la FIUNA publica en edici\u00f3n especial de Inteligencia Artificial aplicada a la Medicina en Cell Reports Methods"},"content":{"rendered":"<p><![CDATA[<strong>Diego Galeano<\/strong>, Ph.D. investigador dependiente del <strong>Departamento de Ingenier\u00eda Electr\u00f3nica y Mecatr\u00f3nica (DIEM) de la Facultad de Ingenier\u00eda de la Universidad Nacional de Asunci\u00f3n (FIUNA),<\/strong> ha publicado su trabajo de investigaci\u00f3n en la edici\u00f3n especial de IA de la prestigiosa editorial Cell Press, denominado <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2667237522002557\"><em>\u00ab<span class=\"title-text\">Machine learning prediction of side effects for drugs in clinical trials\u00bb.<\/span><\/em><\/a><!--more-->\n\nCell Reports Methods es una revista multidisciplinaria de acceso abierto de Cell Press que publica importantes avances metodol\u00f3gicos de amplio inter\u00e9s. El criterio principal para la publicaci\u00f3n en Cell Reports Methods es un m\u00e9todo robusto y reproducible que estimule el progreso cient\u00edfico. Las \u00e1reas de inter\u00e9s incluyen innovaciones en secuenciaci\u00f3n y tecnolog\u00edas de im\u00e1genes, edici\u00f3n de genomas, enfoques de una sola mol\u00e9cula, m\u00e9todos computacionales, biotecnolog\u00eda y biolog\u00eda sint\u00e9tica.\n\nEl Dr. Galeano ha desarrollado un enfoque de IA que permite predecir los efectos secundarios de los medicamentos que se encuentran en ensayos cl\u00ednicos. El Dr. Galeano menciona <em>\u201cPredecir los efectos secundarios de f\u00e1rmacos en desarrollo es un desaf\u00edo debido a la escasa cantidad de datos disponible\u201d<\/em>. Esta tecnolog\u00eda de IA permitir\u00eda a las compa\u00f1\u00edas farmac\u00e9uticas dise\u00f1ar medicamentos m\u00e1s seguros para pacientes y as\u00ed anticipar efectos adversos que de otra manera solo ser\u00eda detectado cuando el f\u00e1rmaco se encuentre en el mercado. El Prof Alberto Paccanaro, investigador de la Funda\u00e7\u00e3o Getulio Vargas (FGV) y Royal Holloway, University of London, es colaborador del art\u00edculo.\n\n[pdf-embedder url=\"http:\/\/www.ing.una.py\/FIUNA3\/wp-content\/uploads\/2022\/12\/1-s2.0-S2667237522002557-main.pdf\"]]]>    \t<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Diego Galeano, Ph.D. investigador dependiente del Departamento de Ingenier\u00eda Electr\u00f3nica y Mecatr\u00f3nica (DIEM) de la Facultad de Ingenier\u00eda de la Universidad Nacional de Asunci\u00f3n (FIUNA), ha publicado su trabajo de investigaci\u00f3n en la edici\u00f3n especial de IA de la prestigiosa editorial Cell Press, denominado \u00abMachine learning prediction of side effects for drugs in clinical trials\u00bb.<\/p>\n","protected":false},"author":1,"featured_media":56597,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"jetpack_seo_schema_type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[824,226,75,349],"tags":[384,347],"class_list":["post-60926","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-departamento-de-ingenieria-electronica-y-mecatronica","category-investigaciones","category-noticias","category-publicacion-de-investigacion","tag-conacyt","tag-direccion-de-investigacion"],"jetpack_publicize_connections":[],"jetpack_shortlink":"https:\/\/wp.me\/pc8Odv-fQG","jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":61155,"url":"https:\/\/www.ing.una.py\/FIUNA3\/?p=61155","url_meta":{"origin":60926,"position":0},"title":"Art\u00edculo publicado por investigador de la FIUNA fue seleccionado entre los mejores del 2022 por la revista Cell Report Methods","author":"Admin","date":"27\/04\/2023","format":false,"excerpt":"Docente investigador de la Facultad de Ingenier\u00eda, Universidad Nacional de Asunci\u00f3n (FIUNA), Dr. Ing. Diego Galeano, titulado \u201cMachine learning prediction of side effects for drugs in clinical trials\u201d. Los art\u00edculos seleccionados incluyen los m\u00e1s le\u00eddos, los favoritos de los editores y los que despertaron el inter\u00e9s y discusi\u00f3n de la\u2026","rel":"","context":"En \u00abNoticias\u00bb","block_context":{"text":"Noticias","link":"https:\/\/www.ing.una.py\/FIUNA3\/?cat=75"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/www.ing.una.py\/FIUNA3\/wp-content\/uploads\/2023\/04\/drGaleano.jpg?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.ing.una.py\/FIUNA3\/wp-content\/uploads\/2023\/04\/drGaleano.jpg?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/www.ing.una.py\/FIUNA3\/wp-content\/uploads\/2023\/04\/drGaleano.jpg?resize=525%2C300&ssl=1 1.5x, https:\/\/i0.wp.com\/www.ing.una.py\/FIUNA3\/wp-content\/uploads\/2023\/04\/drGaleano.jpg?resize=700%2C400&ssl=1 2x"},"classes":[]},{"id":55129,"url":"https:\/\/www.ing.una.py\/FIUNA3\/?p=55129","url_meta":{"origin":60926,"position":1},"title":"Investigador de la FIUNA forma parte del grupo de investigaci\u00f3n en COV-IRT que utilizan la Inteligencia Artificial para descubrir medicamentos efectivos contra la COVID-19","author":"Admin","date":"08\/10\/2021","format":false,"excerpt":"Dr. Ing. Diego Galeano, Investigador de la Facultad de Ingenier\u00eda de la Universidad Nacional de Asunci\u00f3n (FIUNA), para predecir f\u00e1rmacos antivirales que podr\u00edan ser efectivos para el tratamiento ante el virus del SARS-CoV-2. 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hidr\u00f3geno","author":"Admin","date":"11\/09\/2026","format":false,"excerpt":"Equipo de investigadores del Centro de Investigaci\u00f3n en Tecnolog\u00edas Hidroel\u00e9ctricas y Energ\u00eda Distribuida (CITHED) de la Facultad de Ingenier\u00eda de la Universidad Nacional de Asunci\u00f3n (FIUNA) logra la publicaci\u00f3n del art\u00edculo cient\u00edfico \u201cMulti-Model Finite Control Set Model-Based Predictive Voltage Control of a Floating Interleaved Boost DC-DC Converter in Fuel Cell\u2026","rel":"","context":"En \u00abInvestigaci\u00f3n FIUNA\u00bb","block_context":{"text":"Investigaci\u00f3n FIUNA","link":"https:\/\/www.ing.una.py\/FIUNA3\/?cat=226"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/www.ing.una.py\/FIUNA3\/wp-content\/uploads\/2026\/09\/Publican_en_revista-Q1.jpg?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.ing.una.py\/FIUNA3\/wp-content\/uploads\/2026\/09\/Publican_en_revista-Q1.jpg?resize=350%2C200&ssl=1 1x, 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