{"id":4371,"date":"2025-07-29T14:47:54","date_gmt":"2025-07-29T12:47:54","guid":{"rendered":"https:\/\/www.unioviedo.es\/IUOPA\/?p=4371"},"modified":"2025-07-29T14:47:54","modified_gmt":"2025-07-29T12:47:54","slug":"chic-a-machine-learning-framework-for-inferring-the-presence-of-high-risk-clonal-hematopoiesis-using-complete-blood-count-data-from-431531-uk-biobank-participants","status":"publish","type":"post","link":"https:\/\/www.unioviedo.es\/IUOPA\/chic-a-machine-learning-framework-for-inferring-the-presence-of-high-risk-clonal-hematopoiesis-using-complete-blood-count-data-from-431531-uk-biobank-participants\/","title":{"rendered":"CHIC: A machine learning framework for inferring the presence of high-risk clonal hematopoiesis using complete blood count data from 431,531 UK Biobank participants."},"content":{"rendered":"<p><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: rgba(255,255,255,0);background-position: center center;background-repeat: no-repeat;border-width: 0px 0px 0px 0px;border-color:#eae9e9;border-style:solid;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-justify-content-center\" style=\"max-width:1216.8px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 0px 0px 0px 0px;\"><style type=\"text\/css\">@media only screen and (max-width:1024px) {.fusion-title.fusion-title-1{margin-top:0px!important; margin-right:0px!important;margin-bottom:20px!important;margin-left:0px!important;}}@media only screen and (max-width:640px) {.fusion-title.fusion-title-1{margin-top:0px!important; margin-right:0px!important;margin-bottom:20px!important; margin-left:0px!important;}}<\/style><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-one\" style=\"font-size:30px;margin-top:0px;margin-right:0px;margin-bottom:20px;margin-left:0px;\"><h1 class=\"title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;font-size:1em;--fontSize:30;line-height:1.1;\">CHIC: A machine learning framework for inferring the presence of high-risk clonal hematopoiesis using complete blood count data from 431,531 UK Biobank participants.<\/h1><\/div><div ><span class=\" fusion-imageframe imageframe-none imageframe-1 hover-type-zoomin\"><a href=\"https:\/\/www.unioviedo.es\/IUOPA\/wp-content\/uploads\/2025\/04\/bioscience-image-library-by-fayette-reynolds-rVG2ADmYf8Q-unsplash-scaled.jpg\" class=\"fusion-lightbox\" data-rel=\"iLightbox[8576cdbdd62f5eaab16]\" data-title=\"bioscience-image-library-by-fayette-reynolds-rVG2ADmYf8Q-unsplash\" title=\"bioscience-image-library-by-fayette-reynolds-rVG2ADmYf8Q-unsplash\"><img decoding=\"async\" width=\"2560\" height=\"1443\" src=\"https:\/\/www.unioviedo.es\/IUOPA\/wp-content\/uploads\/2025\/04\/bioscience-image-library-by-fayette-reynolds-rVG2ADmYf8Q-unsplash-scaled.jpg\" data-orig-src=\"https:\/\/www.unioviedo.es\/IUOPA\/wp-content\/uploads\/2025\/04\/bioscience-image-library-by-fayette-reynolds-rVG2ADmYf8Q-unsplash-scaled.jpg\" alt class=\"lazyload img-responsive wp-image-4192\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%272560%27%20height%3D%271443%27%20viewBox%3D%270%200%202560%201443%27%3E%3Crect%20width%3D%272560%27%20height%3D%271443%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/www.unioviedo.es\/IUOPA\/wp-content\/uploads\/2025\/04\/bioscience-image-library-by-fayette-reynolds-rVG2ADmYf8Q-unsplash-200x113.jpg 200w, https:\/\/www.unioviedo.es\/IUOPA\/wp-content\/uploads\/2025\/04\/bioscience-image-library-by-fayette-reynolds-rVG2ADmYf8Q-unsplash-400x226.jpg 400w, https:\/\/www.unioviedo.es\/IUOPA\/wp-content\/uploads\/2025\/04\/bioscience-image-library-by-fayette-reynolds-rVG2ADmYf8Q-unsplash-600x338.jpg 600w, https:\/\/www.unioviedo.es\/IUOPA\/wp-content\/uploads\/2025\/04\/bioscience-image-library-by-fayette-reynolds-rVG2ADmYf8Q-unsplash-800x451.jpg 800w, https:\/\/www.unioviedo.es\/IUOPA\/wp-content\/uploads\/2025\/04\/bioscience-image-library-by-fayette-reynolds-rVG2ADmYf8Q-unsplash-1200x677.jpg 1200w, https:\/\/www.unioviedo.es\/IUOPA\/wp-content\/uploads\/2025\/04\/bioscience-image-library-by-fayette-reynolds-rVG2ADmYf8Q-unsplash-scaled.jpg 2560w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 1024px) 100vw, (max-width: 640px) 100vw, 1200px\" \/><\/a><\/span><\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-top:40px;width:100%;\"><\/div><div class=\"fusion-text fusion-text-1\"><h5>Dunn WG, Withnell I, Gu M, Quiros P, Cheloor Kovilakam S, Marando L, Wen S, Fabre MA, Mohorianu I, Vuckovic D, Vassiliou GS.<\/h5>\n<h6>Hemasphere. 2025 Jul 3;9(7):e70169. doi: 10.1002\/hem3.70169. eCollection 2025 Jul.<\/h6>\n<h6>PMID: 40620734<\/h6>\n<\/div><div class=\"fusion-text fusion-text-2\"><p>La revista<strong> National Library of Medicine<\/strong><em> (National Center for Biotechnology Information)<\/em> se ha hecho eco del trabajo del Grupo <strong>Biolog\u00eda Molecular del C\u00e1ncer<\/strong><strong>\u00a0<\/strong>con participaci\u00f3n del doctor <strong>Pedro Moral Quir\u00f3s<\/strong><strong><em> (<a href=\"mailto:pmquiros@uniovi.es\">pmquiros@uniovi.es<\/a>).<\/em><\/strong><\/p>\n<p><b>Consulta la publicaci\u00f3n en el siguiente <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/40620734\/\" target=\"_blank\" rel=\"noopener\">enlace<\/a><\/b><\/p>\n<\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-top:40px;width:100%;\"><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-builder-column-0{width:100% !important;margin-top : 0px;margin-bottom : 0px;}.fusion-builder-column-0 > .fusion-column-wrapper {padding-top : 0px !important;padding-right : 0px !important;margin-right : 1.92%;padding-bottom : 0px !important;padding-left : 0px !important;margin-left : 1.92%;}@media only screen and (max-width:1024px) {.fusion-body .fusion-builder-column-0{width:75% !important;order : 0;}.fusion-builder-column-0 > .fusion-column-wrapper {margin-right : 2.56%;margin-left : 2.56%;}}@media only screen and (max-width:640px) {.fusion-body .fusion-builder-column-0{width:100% !important;order : 0;}.fusion-builder-column-0 > .fusion-column-wrapper {margin-right : 1.92%;margin-left : 1.92%;}}<\/style><\/div><\/div><style type=\"text\/css\">.fusion-body .fusion-flex-container.fusion-builder-row-1{ padding-top : 0px;margin-top : 0px;padding-right : 30px;padding-bottom : 0px;margin-bottom : 0px;padding-left : 30px;}@media only screen and (max-width:1024px) {.fusion-body .fusion-flex-container.fusion-builder-row-1{ padding-top : 80px;}}<\/style><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"background-color: rgba(255,255,255,0);background-position: center center;background-repeat: no-repeat;border-width: 0px 0px 0px 0px;border-color:#eae9e9;border-style:solid;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start\" style=\"max-width:1216.8px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_1 1_1 fusion-flex-column\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\" style=\"background-position:left top;background-repeat:no-repeat;-webkit-background-size:cover;-moz-background-size:cover;-o-background-size:cover;background-size:cover;padding: 20px 0px 20px 0px;\"><div class=\"fusion-sharing-box fusion-sharing-box-1\" style=\"background-color:#f6f6f6;margin-top:60px;\" data-title=\"CHIC: A machine learning framework for inferring the presence of high-risk clonal hematopoiesis using complete blood count data from 431,531 UK Biobank participants.\" data-description=\"Dunn WG, Withnell I, Gu M, Quiros P, Cheloor Kovilakam S, Marando L, Wen S, Fabre MA, Mohorianu I, Vuckovic D, Vassiliou GS.\r\nHemasphere. 2025 Jul 3;9(7):e70169. doi: 10.1002\/hem3.70169. eCollection 2025 Jul.\r\nPMID: 40620734 \r\n\r\nLa revista National Library of Medicine (National Center for Biotechnology Information) se ha hecho eco del trabajo del Grupo Biolog\u00eda Molecular\" data-link=\"https:\/\/www.unioviedo.es\/IUOPA\/chic-a-machine-learning-framework-for-inferring-the-presence-of-high-risk-clonal-hematopoiesis-using-complete-blood-count-data-from-431531-uk-biobank-participants\/\"><h4 class=\"tagline\" style=\"color:#2f2f2f;\">Compartir noticia<\/h4><div class=\"fusion-social-networks sharingbox-shortcode-icon-wrapper sharingbox-shortcode-icon-wrapper-1\"><span><a 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