{"id":1307,"date":"2020-11-27T10:04:35","date_gmt":"2020-11-27T09:04:35","guid":{"rendered":"https:\/\/research.dii.unipd.it\/capelab\/?page_id=1307"},"modified":"2023-12-15T13:54:20","modified_gmt":"2023-12-15T12:54:20","slug":"success-stories","status":"publish","type":"page","link":"https:\/\/research.dii.unipd.it\/capelab\/collaborations\/success-stories\/","title":{"rendered":"Success stories"},"content":{"rendered":"<div data-label=\"Content\" data-id=\"content--1\" data-export-id=\"content-8\" data-category=\"content\" class=\"content-8 content-section content-section-spacing\" id=\"content-1\">\r\n<div class=\"gridContainer\">\r\n<div class=\"row middle-sm\">\r\n<div class=\"col-sm-6 space-bottom-xs space-top-xs\" data-type=\"column\"><img decoding=\"async\" class=\"shadow-large\" src=\"https:\/\/research.dii.unipd.it\/capelab\/wp-content\/uploads\/sites\/36\/2020\/11\/cropped-AdobeStock_176484681-scaled-1.jpeg\" alt=\"\" title=\"cropped-AdobeStock_176484681-scaled-1.jpeg\"><\/div>\r\n<div class=\"col-sm-6\" data-type=\"column\">\r\n<ul class=\"\" style=\"text-align: left\">\r\n \t<li>we have developed an <strong>integrated monitoring system<\/strong> enabling realtime process monitoring and product quality classification in a process for the manufacturing of animal vaccines<\/li>\r\n \t<li>we have developed a method for the <strong>automatic maintenance<\/strong> of data-driven models that monitor the manufacturing of pharmaceutical <strong>tablets<\/strong><\/li>\r\n \t<li>we have developed a methodology enabling the transfer of a <strong>spray-drying monitoring<\/strong> model across different plant scales<\/li>\r\n \t<li>we have developed a software package for the periodic <strong>review of data historians<\/strong> from secondary pharmaceutical manufacturing systems to extract operation-relevant information<\/li>\r\n \t<li>we have developed a data-driven method to investigate powder raw-materials (APIs and excipients) databases to aid the <strong>selection of new incoming materials<\/strong> based on their manufacturability<\/li>\r\n \t<li>we have explored <strong>cloud data<\/strong> from professional cooking ovens to identify patterns and assist <strong>predictive maintenance<\/strong><\/li>\r\n \t<li>we have developed a method for the in-silico design of <strong>new formulations<\/strong> for solid oral drug products<\/li>\r\n \t<li>we have developed a machine learning software tool to aid <strong>cell line screening<\/strong>, selection and performance prediction across static, shaken and stirred systems for accelerated <strong>bioprocess scale-up\/scale-down<\/strong><\/li>\r\n \t<li>we have developed a <strong>machine vision<\/strong> system to automatically characterize the visual appearance of <strong>pharmaceutical tablets<\/strong><\/li>\r\n \t<li>we have developed a modelling approach and a methodology to accelerate the development of freeze-drying processes using model-based design of experiments<\/li>\r\n \t<li>we have developed <strong>hybrid monitoring<\/strong> tool for fast <strong>fault detection and diagnosis<\/strong> in a fluid-bed dryer<\/li>\r\n<\/ul>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<div data-label=\"Content\" data-id=\"content--2\" data-export-id=\"content-7\" data-category=\"content\" class=\"content-7 content-section content-section-spacing\" id=\"content-2\">\r\n<div class=\"gridContainer\">\r\n<div class=\"row middle-sm\">\r\n<div class=\"col-sm-6 space-bottom-xs\" data-type=\"column\">\r\n<ul class=\"\" style=\"text-align: left\">\r\n \t<li>we have developed and implemented a <strong>virtual sensor<\/strong> for the realtime prediction of product quality and batch duration in a resin <strong>manufacturing<\/strong> process<\/li>\r\n \t<li>we have supported the development of a <strong>continuous process for the manufacturing of pharmaceutical tablets<\/strong> by highlighting the most significant sources of variability in the product quality<\/li>\r\n \t<li>we have investigated the relation between manufacturing steps and product quality in a process for the <strong>manufacturing of toothpaste<\/strong><\/li>\r\n \t<li>we have provided a model-based alternative to standard experience-driven approaches to accelerate the <strong>scale-up of wheat milling<\/strong> operations<\/li>\r\n \t<li>we have developed an <strong>artificial vision<\/strong> software tool to characterize the quality of nanostructured membranes to be employed in <strong>blood filtration<\/strong><\/li>\r\n \t<li>we have <strong>troubleshooted<\/strong> an industrial, multi-unit, multi-phase batch process for the manufacturing of a <strong>polymer stability enhancer<\/strong><\/li>\r\n \t<li>we have developed a model-based optimization approach to increase productivity in microalgae cultivation systems<\/li>\r\n \t<li>we have <strong>trained industrial professionals<\/strong> on the use of multivariate statistical methods for process understanding, monitoring and design<\/li>\r\n<\/ul>\r\n<\/div>\r\n<div class=\"col-sm-6\" data-type=\"column\"><img decoding=\"async\" class=\"shadow-large\" src=\"https:\/\/research.dii.unipd.it\/capelab\/wp-content\/uploads\/sites\/36\/2020\/11\/cropped-AdobeStock_100426785-scaled-1.jpeg\" alt=\"\" title=\"cropped-AdobeStock_100426785-scaled-1.jpeg\"><\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>","protected":false},"excerpt":{"rendered":"<p>we have developed an integrated monitoring system enabling realtime process monitoring and product quality classification in a process for the manufacturing of animal vaccines we have developed a method for the automatic maintenance of data-driven models that monitor the manufacturing of pharmaceutical tablets we have developed a methodology enabling the transfer of a spray-drying monitoring&hellip; <br \/> <a class=\"read-more\" href=\"https:\/\/research.dii.unipd.it\/capelab\/collaborations\/success-stories\/\">Leggi tutto<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1930,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"pro\/page-templates\/full-width-page.php","meta":{"ngg_post_thumbnail":0,"footnotes":""},"folder":[],"class_list":["post-1307","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Success stories - CAPE-Lab<\/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:\/\/research.dii.unipd.it\/capelab\/collaborations\/success-stories\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Success stories - CAPE-Lab\" \/>\n<meta property=\"og:description\" content=\"we have developed an integrated monitoring 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