{"id":257259,"date":"2025-07-28T13:53:21","date_gmt":"2025-07-28T13:53:21","guid":{"rendered":"https:\/\/project.uniurb.it\/vitality\/?p=257259"},"modified":"2025-10-08T09:16:25","modified_gmt":"2025-10-08T09:16:25","slug":"leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems","status":"publish","type":"post","link":"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/","title":{"rendered":"Leveraging machine learning to streamline the development of liposomal drug delivery systems"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;2px|||||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;50px|||||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; text_font_size=&#8221;16px&#8221; custom_margin=&#8221;||60px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Prof. Luca Casettari, Dott. Mattia Tiboni<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; locked=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>Abstract<\/h3>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\">Drug delivery systems efficiently and safely administer therapeutic agents to specific body sites. Liposomes, spherical vesicles made of phospholipid bilayers, have become a powerful tool in this field, especially with the rise of microfluidic manufacturing during the COVID-19 pandemic. Despite its efficiency, microfluidic liposomal production poses challenges, often requiring laborious, optimization on a case-by-case basis. This is due to a lack of comprehensive understanding and robust methodologies, compounded by limited data on microfluidic production with varying lipids. Artificial intelligence offers promise in predicting lipid behaviour during microfluidic production, with the still unexploited potential of streamlining development. Herein we employ machine learning to predict critical quality attributes and process parameters for microfluidic-based liposome production. Validated models predict liposome formation, size, and production parameters, significantly advancing our understanding of lipid behaviour. Extensive model analysis enhanced interpretability and investigated underlying mechanisms, supporting the transition to microfluidic production. Unlocking the potential of machine learning in drug development can accelerate pharmaceutical innovation, making drug delivery systems more adaptable and accessible.<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||0px|||&#8221; locked=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4>Keyword<\/h4>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; min_height=&#8221;20.8px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\">Artificial intelligence, Machine learning, Drug delivery &amp; development, Liposomes, Microfluidics <\/span><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||0px|||&#8221; locked=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h4>Link<\/h4>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; link_option_url=&#8221;https:\/\/hdl.handle.net\/11576\/2746552&#8243; link_option_url_new_window=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><a href=\"https:\/\/hdl.handle.net\/11576\/2746552\" title=\"Leveraging machine learning to streamline the development of liposomal drug delivery systems\" target=\"_blank\" rel=\"noopener\">https:\/\/hdl.handle.net\/11576\/2746552<\/a><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Prof. Luca Casettari, Dott. Mattia TiboniAbstractDrug delivery systems efficiently and safely administer therapeutic agents to specific body sites. Liposomes, spherical vesicles made of phospholipid bilayers, have become a powerful tool in this field, especially with the rise of microfluidic manufacturing during the COVID-19 pandemic. Despite its efficiency, microfluidic liposomal production poses challenges, often requiring laborious, [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[21],"tags":[107,108,109,29,77],"class_list":["post-257259","post","type-post","status-publish","format-standard","hentry","category-wp3","tag-artificial-intelligence","tag-drug-delivery-development","tag-liposomes","tag-machine-learning","tag-microfluidics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Leveraging machine learning to streamline the development of liposomal drug delivery systems - Vitality<\/title>\n<meta name=\"description\" content=\"Machine learning predicts key parameters in microfluidic liposome production, enhancing scalability and quality.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Leveraging machine learning to streamline the development of liposomal drug delivery systems - Vitality\" \/>\n<meta property=\"og:description\" content=\"Machine learning predicts key parameters in microfluidic liposome production, enhancing scalability and quality.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/\" \/>\n<meta property=\"og:site_name\" content=\"Vitality\" \/>\n<meta property=\"article:published_time\" content=\"2025-07-28T13:53:21+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-10-08T09:16:25+00:00\" \/>\n<meta name=\"author\" content=\"Sofia Fiorentini\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Scritto da\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sofia Fiorentini\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo di lettura stimato\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/\"},\"author\":{\"name\":\"Sofia Fiorentini\",\"@id\":\"https:\/\/project.uniurb.it\/vitality\/#\/schema\/person\/6bf3aef708bc5fae080796827fec93b1\"},\"headline\":\"Leveraging machine learning to streamline the development of liposomal drug delivery systems\",\"datePublished\":\"2025-07-28T13:53:21+00:00\",\"dateModified\":\"2025-10-08T09:16:25+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/\"},\"wordCount\":388,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/project.uniurb.it\/vitality\/#organization\"},\"keywords\":[\"Artificial intelligence\",\"Drug delivery &amp; development\",\"Liposomes\",\"Machine learning\",\"Microfluidics\"],\"articleSection\":[\"WP3\"],\"inLanguage\":\"it-IT\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/\",\"url\":\"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/\",\"name\":\"Leveraging machine learning to streamline the development of liposomal drug delivery systems - Vitality\",\"isPartOf\":{\"@id\":\"https:\/\/project.uniurb.it\/vitality\/#website\"},\"datePublished\":\"2025-07-28T13:53:21+00:00\",\"dateModified\":\"2025-10-08T09:16:25+00:00\",\"description\":\"Machine learning predicts key parameters in microfluidic liposome production, enhancing scalability and quality.\",\"breadcrumb\":{\"@id\":\"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/#breadcrumb\"},\"inLanguage\":\"it-IT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/project.uniurb.it\/vitality\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Leveraging machine learning to streamline the development of liposomal drug delivery systems\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/project.uniurb.it\/vitality\/#website\",\"url\":\"https:\/\/project.uniurb.it\/vitality\/\",\"name\":\"Vitality\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/project.uniurb.it\/vitality\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/project.uniurb.it\/vitality\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"it-IT\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/project.uniurb.it\/vitality\/#organization\",\"name\":\"Vitality\",\"url\":\"https:\/\/project.uniurb.it\/vitality\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\/\/project.uniurb.it\/vitality\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/project.uniurb.it\/vitality\/wp-content\/uploads\/2023\/05\/vitality-pnrr-loghi.004.png\",\"contentUrl\":\"https:\/\/project.uniurb.it\/vitality\/wp-content\/uploads\/2023\/05\/vitality-pnrr-loghi.004.png\",\"width\":500,\"height\":200,\"caption\":\"Vitality\"},\"image\":{\"@id\":\"https:\/\/project.uniurb.it\/vitality\/#\/schema\/logo\/image\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/project.uniurb.it\/vitality\/#\/schema\/person\/6bf3aef708bc5fae080796827fec93b1\",\"name\":\"Sofia Fiorentini\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\/\/project.uniurb.it\/vitality\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/f1e160b1b056f68908e93e581241b50b9052714ce8f5b9890deb087631884a81?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/f1e160b1b056f68908e93e581241b50b9052714ce8f5b9890deb087631884a81?s=96&d=mm&r=g\",\"caption\":\"Sofia Fiorentini\"},\"sameAs\":[\"https:\/\/www.uniurb.it\"],\"url\":\"https:\/\/project.uniurb.it\/vitality\/author\/sofia-fiorentini\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Leveraging machine learning to streamline the development of liposomal drug delivery systems - Vitality","description":"Machine learning predicts key parameters in microfluidic liposome production, enhancing scalability and quality.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/","og_locale":"it_IT","og_type":"article","og_title":"Leveraging machine learning to streamline the development of liposomal drug delivery systems - Vitality","og_description":"Machine learning predicts key parameters in microfluidic liposome production, enhancing scalability and quality.","og_url":"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/","og_site_name":"Vitality","article_published_time":"2025-07-28T13:53:21+00:00","article_modified_time":"2025-10-08T09:16:25+00:00","author":"Sofia Fiorentini","twitter_card":"summary_large_image","twitter_misc":{"Scritto da":"Sofia Fiorentini","Tempo di lettura stimato":"1 minuto"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/#article","isPartOf":{"@id":"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/"},"author":{"name":"Sofia Fiorentini","@id":"https:\/\/project.uniurb.it\/vitality\/#\/schema\/person\/6bf3aef708bc5fae080796827fec93b1"},"headline":"Leveraging machine learning to streamline the development of liposomal drug delivery systems","datePublished":"2025-07-28T13:53:21+00:00","dateModified":"2025-10-08T09:16:25+00:00","mainEntityOfPage":{"@id":"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/"},"wordCount":388,"commentCount":0,"publisher":{"@id":"https:\/\/project.uniurb.it\/vitality\/#organization"},"keywords":["Artificial intelligence","Drug delivery &amp; development","Liposomes","Machine learning","Microfluidics"],"articleSection":["WP3"],"inLanguage":"it-IT","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/","url":"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/","name":"Leveraging machine learning to streamline the development of liposomal drug delivery systems - Vitality","isPartOf":{"@id":"https:\/\/project.uniurb.it\/vitality\/#website"},"datePublished":"2025-07-28T13:53:21+00:00","dateModified":"2025-10-08T09:16:25+00:00","description":"Machine learning predicts key parameters in microfluidic liposome production, enhancing scalability and quality.","breadcrumb":{"@id":"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/#breadcrumb"},"inLanguage":"it-IT","potentialAction":[{"@type":"ReadAction","target":["https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/project.uniurb.it\/vitality\/leveraging-machine-learning-to-streamline-the-development-of-liposomal-drug-delivery-systems\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/project.uniurb.it\/vitality\/"},{"@type":"ListItem","position":2,"name":"Leveraging machine learning to streamline the development of liposomal drug delivery systems"}]},{"@type":"WebSite","@id":"https:\/\/project.uniurb.it\/vitality\/#website","url":"https:\/\/project.uniurb.it\/vitality\/","name":"Vitality","description":"","publisher":{"@id":"https:\/\/project.uniurb.it\/vitality\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/project.uniurb.it\/vitality\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"it-IT"},{"@type":"Organization","@id":"https:\/\/project.uniurb.it\/vitality\/#organization","name":"Vitality","url":"https:\/\/project.uniurb.it\/vitality\/","logo":{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/project.uniurb.it\/vitality\/#\/schema\/logo\/image\/","url":"https:\/\/project.uniurb.it\/vitality\/wp-content\/uploads\/2023\/05\/vitality-pnrr-loghi.004.png","contentUrl":"https:\/\/project.uniurb.it\/vitality\/wp-content\/uploads\/2023\/05\/vitality-pnrr-loghi.004.png","width":500,"height":200,"caption":"Vitality"},"image":{"@id":"https:\/\/project.uniurb.it\/vitality\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/project.uniurb.it\/vitality\/#\/schema\/person\/6bf3aef708bc5fae080796827fec93b1","name":"Sofia Fiorentini","image":{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/project.uniurb.it\/vitality\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/f1e160b1b056f68908e93e581241b50b9052714ce8f5b9890deb087631884a81?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/f1e160b1b056f68908e93e581241b50b9052714ce8f5b9890deb087631884a81?s=96&d=mm&r=g","caption":"Sofia Fiorentini"},"sameAs":["https:\/\/www.uniurb.it"],"url":"https:\/\/project.uniurb.it\/vitality\/author\/sofia-fiorentini\/"}]}},"_links":{"self":[{"href":"https:\/\/project.uniurb.it\/vitality\/wp-json\/wp\/v2\/posts\/257259","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.uniurb.it\/vitality\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/project.uniurb.it\/vitality\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/project.uniurb.it\/vitality\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/project.uniurb.it\/vitality\/wp-json\/wp\/v2\/comments?post=257259"}],"version-history":[{"count":4,"href":"https:\/\/project.uniurb.it\/vitality\/wp-json\/wp\/v2\/posts\/257259\/revisions"}],"predecessor-version":[{"id":257886,"href":"https:\/\/project.uniurb.it\/vitality\/wp-json\/wp\/v2\/posts\/257259\/revisions\/257886"}],"wp:attachment":[{"href":"https:\/\/project.uniurb.it\/vitality\/wp-json\/wp\/v2\/media?parent=257259"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/project.uniurb.it\/vitality\/wp-json\/wp\/v2\/categories?post=257259"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/project.uniurb.it\/vitality\/wp-json\/wp\/v2\/tags?post=257259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}