{"id":14150,"date":"2023-10-16T21:24:57","date_gmt":"2023-10-16T19:24:57","guid":{"rendered":"https:\/\/sano.science\/?p=14150"},"modified":"2023-10-16T21:25:24","modified_gmt":"2023-10-16T19:25:24","slug":"a-breakthrough-in-the-accuracy-of-prediction-of-the-course-of-alzheimers-disease","status":"publish","type":"post","link":"https:\/\/sano.science\/a-breakthrough-in-the-accuracy-of-prediction-of-the-course-of-alzheimers-disease\/","title":{"rendered":"A breakthrough in the accuracy of prediction of the course of\u00a0Alzheimer\u2019s disease"},"content":{"rendered":"\n<p class=\" eplus-wrapper\">This became possible due to the employment of a new machine learning approach. An autoregressive model was taken as the main research tool and was constrained by the structural connectivity of the human brain. The approach was tested in a cross-validation manner on the publicly available ADNI dataset for a total of 212 subjects. The reliability of the approach was proven by follow-up PETs (Positron Emission Tomography) performed in 24 months time.&nbsp;&nbsp;&nbsp;<\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">The trained model Sano\u2019s researchers developed is now available as a web service for physicians and researchers. They are welcome to upload a structural connetcome and a PET file of patients to predict the course of an individual Amiloid-\u03b2 deposition. The proposed service is available at <a href=\"https:\/\/brainspread.sano.science\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/brainspread.sano.science\/<\/a>.&nbsp;<\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Accurate Amiloid-\u03b2 pathology prediction can have significant clinical implications, helping to predict the evolution of the disease in patients with early clinical manifestations.<strong> <\/strong>The method is also useful for the enrichment of clinical trials of Alzheimer\u2019s disease at the predementia stage and for individuals with clinical impairment tending to progress rapidly. <\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">&#8220;<strong><em>While it is important to note that a comprehensive prognostic plan for Alzheimer&#8217;s disease cannot solely rely on Amyloid-\u03b2 concentrations, the accuracy achieved by the discussed machine learning approaches can prove invaluable for planning therapies and other interventions,<\/em><\/strong>&#8221; stated Dr. Alessandro Crimi, the lead author of the article. &#8220;<strong><em>This is particularly crucial when dealing with asymptomatic patients for whom novel therapies could hold the key to effective treatment.<\/em><\/strong>&#8221;&nbsp;<\/p>\n\n\n\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">The institutions behind this groundbreaking research are Sano, Center for Computational medicine (Krakow, Poland), and the University of Padua (Italy).&nbsp;<\/p>\n\n\n\n<p class=\" eplus-wrapper\">The research paper by Luca Gherardini, Aleksandra Zajdel, Lorenzo Pini, Alessandro Crimi&nbsp;<\/p>\n\n\n\n<p class=\" eplus-wrapper\">\u201c<strong><em>Prediction of misfolded proteins spreading in Alzheimer\u2019s disease using machine learning and spreading model<\/em><\/strong>s\u201d was recently published in the prestigious Cerebral Cortex Journal.<em> <\/em>The link to the paper:&nbsp;<a href=\"https:\/\/academic.oup.com\/cercor\/advance-article\/doi\/10.1093\/cercor\/bhad380\/7311320?login=false\">https:\/\/academic.oup.com\/cercor\/advance-article\/doi\/10.1093\/cercor\/bhad380\/7311320?login=false<\/a><\/p>\n","protected":false},"excerpt":"Sano\u2019s Computer Vision Data Science team significantly raised the accuracy of the prediction of the deposition of Amiloid-\u03b2. This misfolded protein is responsible for the development of both Alzheimer\u2019s disease and MCI (Mild Cognitive Impairment). ","author":5,"featured_media":14151,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"editor_plus_post_options":"{}","editor_plus_copied_stylings":"{}","footnotes":""},"categories":[1],"tags":[],"class_list":["post-14150","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>A breakthrough in the accuracy of prediction of the course of\u00a0Alzheimer\u2019s disease - Centre for Computational Personalized Medicine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sano.science\/a-breakthrough-in-the-accuracy-of-prediction-of-the-course-of-alzheimers-disease\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A breakthrough in the accuracy of prediction of the course of\u00a0Alzheimer\u2019s disease\" \/>\n<meta property=\"og:description\" content=\"Sano\u2019s Computer Vision Data Science team significantly raised the accuracy of the prediction of the deposition of Amiloid-\u03b2. This misfolded protein is responsible for the development of both Alzheimer\u2019s disease and MCI (Mild Cognitive Impairment).\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/a-breakthrough-in-the-accuracy-of-prediction-of-the-course-of-alzheimers-disease\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:published_time\" content=\"2023-10-16T19:24:57+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-10-16T19:25:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/F8bW6e0XYAAJh5d.jpeg.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"520\" \/>\n\t<meta property=\"og:image:height\" content=\"585\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"sano.science\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"sano.science\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/sano.science\\\/a-breakthrough-in-the-accuracy-of-prediction-of-the-course-of-alzheimers-disease\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sano.science\\\/a-breakthrough-in-the-accuracy-of-prediction-of-the-course-of-alzheimers-disease\\\/\"},\"author\":{\"name\":\"sano.science\",\"@id\":\"https:\\\/\\\/sano.science\\\/#\\\/schema\\\/person\\\/f227b0ab82caaee3d1a4a73ed3b4e83d\"},\"headline\":\"A breakthrough in the accuracy of prediction of the course of\u00a0Alzheimer\u2019s disease\",\"datePublished\":\"2023-10-16T19:24:57+00:00\",\"dateModified\":\"2023-10-16T19:25:24+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/sano.science\\\/a-breakthrough-in-the-accuracy-of-prediction-of-the-course-of-alzheimers-disease\\\/\"},\"wordCount\":337,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/sano.science\\\/a-breakthrough-in-the-accuracy-of-prediction-of-the-course-of-alzheimers-disease\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2023\\\/10\\\/F8bW6e0XYAAJh5d.jpeg.jpg\",\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/a-breakthrough-in-the-accuracy-of-prediction-of-the-course-of-alzheimers-disease\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/a-breakthrough-in-the-accuracy-of-prediction-of-the-course-of-alzheimers-disease\\\/\",\"name\":\"A breakthrough in the accuracy of prediction of the course of\u00a0Alzheimer\u2019s disease - 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An autoregressive model was taken as the main research tool and was constrained by the structural connectivity of the human brain. The approach was tested in a cross-validation manner on the publicly available ADNI dataset for a total of 212 subjects. The reliability of the approach was proven by follow-up PETs (Positron Emission Tomography) performed in 24 months time.&nbsp;&nbsp;&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">This became possible due to the employment of a new machine learning approach. An autoregressive model was taken as the main research tool and was constrained by the structural connectivity of the human brain. The approach was tested in a cross-validation manner on the publicly available ADNI dataset for a total of 212 subjects. The reliability of the approach was proven by follow-up PETs (Positron Emission Tomography) performed in 24 months time.&nbsp;&nbsp;&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"21px","epAnimationGeneratedClass":"edplus_anim-furkD6","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-4rb3cd","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The trained model Sano\u2019s researchers developed is now available as a web service for physicians and researchers. They are welcome to upload a structural connetcome and a PET file of patients to predict the course of an individual Amiloid-\u03b2 deposition. The proposed service is available at <a href=\"https:\/\/brainspread.sano.science\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/brainspread.sano.science\/<\/a>.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The trained model Sano\u2019s researchers developed is now available as a web service for physicians and researchers. They are welcome to upload a structural connetcome and a PET file of patients to predict the course of an individual Amiloid-\u03b2 deposition. The proposed service is available at <a href=\"https:\/\/brainspread.sano.science\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/brainspread.sano.science\/<\/a>.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"21px","epAnimationGeneratedClass":"edplus_anim-furkD6","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-UNM5Vh","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Accurate Amiloid-\u03b2 pathology prediction can have significant clinical implications, helping to predict the evolution of the disease in patients with early clinical manifestations.<strong> <\/strong>The method is also useful for the enrichment of clinical trials of Alzheimer\u2019s disease at the predementia stage and for individuals with clinical impairment tending to progress rapidly. <\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Accurate Amiloid-\u03b2 pathology prediction can have significant clinical implications, helping to predict the evolution of the disease in patients with early clinical manifestations.<strong> <\/strong>The method is also useful for the enrichment of clinical trials of Alzheimer\u2019s disease at the predementia stage and for individuals with clinical impairment tending to progress rapidly. <\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"21px","epAnimationGeneratedClass":"edplus_anim-furkD6","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-UNM5Vh","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">\"<strong><em>While it is important to note that a comprehensive prognostic plan for Alzheimer's disease cannot solely rely on Amyloid-\u03b2 concentrations, the accuracy achieved by the discussed machine learning approaches can prove invaluable for planning therapies and other interventions,<\/em><\/strong>\" stated Dr. Alessandro Crimi, the lead author of the article. \"<strong><em>This is particularly crucial when dealing with asymptomatic patients for whom novel therapies could hold the key to effective treatment.<\/em><\/strong>\"&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">\"<strong><em>While it is important to note that a comprehensive prognostic plan for Alzheimer's disease cannot solely rely on Amyloid-\u03b2 concentrations, the accuracy achieved by the discussed machine learning approaches can prove invaluable for planning therapies and other interventions,<\/em><\/strong>\" stated Dr. Alessandro Crimi, the lead author of the article. \"<strong><em>This is particularly crucial when dealing with asymptomatic patients for whom novel therapies could hold the key to effective treatment.<\/em><\/strong>\"&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"21px","epAnimationGeneratedClass":"edplus_anim-furkD6","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:21px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-BLos3d","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The institutions behind this groundbreaking research are Sano, Center for Computational medicine (Krakow, Poland), and the University of Padua (Italy).&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The institutions behind this groundbreaking research are Sano, Center for Computational medicine (Krakow, Poland), and the University of Padua (Italy).&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-8TBB5Q","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The research paper by Luca Gherardini, Aleksandra Zajdel, Lorenzo Pini, Alessandro Crimi&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The research paper by Luca Gherardini, Aleksandra Zajdel, Lorenzo Pini, Alessandro Crimi&nbsp;<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-4hLm1B","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">\u201c<strong><em>Prediction of misfolded proteins spreading in Alzheimer\u2019s disease using machine learning and spreading model<\/em><\/strong>s\u201d was recently published in the prestigious Cerebral Cortex Journal.<em> <\/em>The link to the paper:&nbsp;<a href=\"https:\/\/academic.oup.com\/cercor\/advance-article\/doi\/10.1093\/cercor\/bhad380\/7311320?login=false\">https:\/\/academic.oup.com\/cercor\/advance-article\/doi\/10.1093\/cercor\/bhad380\/7311320?login=false<\/a><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">\u201c<strong><em>Prediction of misfolded proteins spreading in Alzheimer\u2019s disease using machine learning and spreading model<\/em><\/strong>s\u201d was recently published in the prestigious Cerebral Cortex Journal.<em> <\/em>The link to the paper:&nbsp;<a href=\"https:\/\/academic.oup.com\/cercor\/advance-article\/doi\/10.1093\/cercor\/bhad380\/7311320?login=false\">https:\/\/academic.oup.com\/cercor\/advance-article\/doi\/10.1093\/cercor\/bhad380\/7311320?login=false<\/a><\/p>\n"]}],"meta_data":{"has_thumbnail_pattern":false,"share_on_social_media":{"has_social_media":false}},"featured_image":{"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/10\/F8bW6e0XYAAJh5d.jpeg.jpg"},"main_category":{"name":"Uncategorized"},"prev_page":{"slug":"irap-fostering-excellence-and-innovation-conference"},"next_page":{"slug":"first-award-at-the-iii-national-competition-of-the-polish-information-technology-society"},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/14150","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/comments?post=14150"}],"version-history":[{"count":2,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/14150\/revisions"}],"predecessor-version":[{"id":14153,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/posts\/14150\/revisions\/14153"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/14151"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=14150"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/categories?post=14150"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/tags?post=14150"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}