{"id":13471,"date":"2023-08-16T13:42:15","date_gmt":"2023-08-16T11:42:15","guid":{"rendered":"https:\/\/sano.science\/?post_type=seminars&#038;p=13471"},"modified":"2023-08-24T16:08:46","modified_gmt":"2023-08-24T14:08:46","slug":"79-digital-behaviour-change-interventions-dbci-from-design-to-implementation","status":"publish","type":"seminars","link":"https:\/\/sano.science\/seminars\/79-digital-behaviour-change-interventions-dbci-from-design-to-implementation\/","title":{"rendered":"79. Digital Behaviour Change Interventions (DBCI): From design to implementation"},"content":{"rendered":"\n<h2 class=\"wp-block-heading eplus-wrapper\">Abstract<\/h2>\n\n\n<ul class=\"eplus-wrapper wp-block-list eplus-styles-uid-47f842\"><\/ul>\n\n\n<p class=\" eplus-wrapper\">In this seminar we will discuss challenges with digital behaviour change intervention design and implementation.&nbsp; I will present SATO workflow which helps with patient-centered mobile application design, highlight issues with intervention adherence and propose few research avenues that might address adherence problems. You will also learn how Sano employees contributed to DBCI science through participation in smart work 4 smart life (SW4SL) study. In particular we will take a look at the quality of physiological signal captured by medical vs. consumer grade wearables and consider which information about person\u2019s state can be inferred with use of machine learning from their physiological signal and which cannot. Finally I will share insightful feedback and observations of SW4SL study participants and present future research plans.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\">About the author<\/h2>\n\n\n\n<p class=\" eplus-wrapper\">Aneta Lisowska is a senior postdoctoral researcher at Sano Center for Computational Medicine and Pozna\u0144 University of Technology, developing AI methods for digital health interventions.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">Aneta\u2019s research journey began in Scotland where she obtained BSc in Computing and Cognitive Science from the University of Dundee and completed an industrial doctorate at Toshiba Medical Visualization System Europe and Herriot-Watt University. After obtaining Engineering Doctorate, she joined the AI team at Canon Medical Research Europe where she worked on AI methods for text and medical image analysis, delivering numerous patents utilizing deep learning methods in healthcare applications, and leading research projects focused on Active and Continual Learning.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">After over 6 years of working in the medical industry on AI clinical diagnostic tools, Aneta decided to change the direction of her research towards designing AI-based applications for ubiquitous mobile devices. At the start of 2021 she joined Pozna\u0144 University of Technology where she develops machine learning models for personalised coaching and decision support. In particularly, she works on ML-based approaches supporting patients with treatment adherence and development of positive health habits.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">In October 2021, Aneta joined&nbsp;<a href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fold.sano.science%2F&amp;sa=D&amp;sntz=1&amp;usg=AOvVaw1xGdCD9Co9rTDBG6Gi-DkN\">Sano&nbsp;<\/a><a href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fold.sano.science%2F&amp;sa=D&amp;sntz=1&amp;usg=AOvVaw1xGdCD9Co9rTDBG6Gi-DkN\">Center for Computational Medicine<\/a>&nbsp;where she works on chronic illness prevention applications. Her most recent&nbsp;<a href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fold.sano.science%2Fnews%2Fsmart-work-for-smart-life-sw4sl-project-pilotage-has-officially-launched%2F&amp;sa=D&amp;sntz=1&amp;usg=AOvVaw3Vy8HwERfpcRshDn9IFhON\">study<\/a>&nbsp;investigates how to utilize machine learning for increased engagement with mobile and wearable health applications.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">In 2022 Aneta also obtained MBA from Edinburgh Business School.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Aneta Lisowska \u2013 Sano Center for Computational Medicine, Krak\u00f3w, PL<\/p>\n","protected":false},"featured_media":13472,"template":"","class_list":["post-13471","seminars","type-seminars","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.4 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>79. 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class=\" eplus-wrapper eplus-styles-uid-47f842\"><\/ul>","innerContent":["\n<ul class=\" eplus-wrapper\"><\/ul>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-WBYFru","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">In this seminar we will discuss challenges with digital behaviour change intervention design and implementation.&nbsp; I will present SATO workflow which helps with patient-centered mobile application design, highlight issues with intervention adherence and propose few research avenues that might address adherence problems. You will also learn how Sano employees contributed to DBCI science through participation in smart work 4 smart life (SW4SL) study. In particular we will take a look at the quality of physiological signal captured by medical vs. consumer grade wearables and consider which information about person\u2019s state can be inferred with use of machine learning from their physiological signal and which cannot. Finally I will share insightful feedback and observations of SW4SL study participants and present future research plans.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">In this seminar we will discuss challenges with digital behaviour change intervention design and implementation.&nbsp; I will present SATO workflow which helps with patient-centered mobile application design, highlight issues with intervention adherence and propose few research avenues that might address adherence problems. You will also learn how Sano employees contributed to DBCI science through participation in smart work 4 smart life (SW4SL) study. In particular we will take a look at the quality of physiological signal captured by medical vs. consumer grade wearables and consider which information about person\u2019s state can be inferred with use of machine learning from their physiological signal and which cannot. Finally I will share insightful feedback and observations of SW4SL study participants and present future research plans.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-qpcegc","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-nc5AGh","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\">About the author<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\">About the author<\/h2>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Vjf323","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Aneta Lisowska is a senior postdoctoral researcher at Sano Center for Computational Medicine and Pozna\u0144 University of Technology, developing AI methods for digital health interventions.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Aneta Lisowska is a senior postdoctoral researcher at Sano Center for Computational Medicine and Pozna\u0144 University of Technology, developing AI methods for digital health interventions.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-dZUn3Z","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Aneta\u2019s research journey began in Scotland where she obtained BSc in Computing and Cognitive Science from the University of Dundee and completed an industrial doctorate at Toshiba Medical Visualization System Europe and Herriot-Watt University. After obtaining Engineering Doctorate, she joined the AI team at Canon Medical Research Europe where she worked on AI methods for text and medical image analysis, delivering numerous patents utilizing deep learning methods in healthcare applications, and leading research projects focused on Active and Continual Learning.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Aneta\u2019s research journey began in Scotland where she obtained BSc in Computing and Cognitive Science from the University of Dundee and completed an industrial doctorate at Toshiba Medical Visualization System Europe and Herriot-Watt University. After obtaining Engineering Doctorate, she joined the AI team at Canon Medical Research Europe where she worked on AI methods for text and medical image analysis, delivering numerous patents utilizing deep learning methods in healthcare applications, and leading research projects focused on Active and Continual Learning.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-TXNDbq","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">After over 6 years of working in the medical industry on AI clinical diagnostic tools, Aneta decided to change the direction of her research towards designing AI-based applications for ubiquitous mobile devices. At the start of 2021 she joined Pozna\u0144 University of Technology where she develops machine learning models for personalised coaching and decision support. In particularly, she works on ML-based approaches supporting patients with treatment adherence and development of positive health habits.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">After over 6 years of working in the medical industry on AI clinical diagnostic tools, Aneta decided to change the direction of her research towards designing AI-based applications for ubiquitous mobile devices. At the start of 2021 she joined Pozna\u0144 University of Technology where she develops machine learning models for personalised coaching and decision support. In particularly, she works on ML-based approaches supporting patients with treatment adherence and development of positive health habits.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-wFVZwR","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">In October 2021, Aneta joined&nbsp;<a href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fold.sano.science%2F&amp;sa=D&amp;sntz=1&amp;usg=AOvVaw1xGdCD9Co9rTDBG6Gi-DkN\">Sano&nbsp;<\/a><a href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fold.sano.science%2F&amp;sa=D&amp;sntz=1&amp;usg=AOvVaw1xGdCD9Co9rTDBG6Gi-DkN\">Center for Computational Medicine<\/a>&nbsp;where she works on chronic illness prevention applications. Her most recent&nbsp;<a href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fold.sano.science%2Fnews%2Fsmart-work-for-smart-life-sw4sl-project-pilotage-has-officially-launched%2F&amp;sa=D&amp;sntz=1&amp;usg=AOvVaw3Vy8HwERfpcRshDn9IFhON\">study<\/a>&nbsp;investigates how to utilize machine learning for increased engagement with mobile and wearable health applications.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">In October 2021, Aneta joined&nbsp;<a href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fold.sano.science%2F&amp;sa=D&amp;sntz=1&amp;usg=AOvVaw1xGdCD9Co9rTDBG6Gi-DkN\">Sano&nbsp;<\/a><a href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fold.sano.science%2F&amp;sa=D&amp;sntz=1&amp;usg=AOvVaw1xGdCD9Co9rTDBG6Gi-DkN\">Center for Computational Medicine<\/a>&nbsp;where she works on chronic illness prevention applications. Her most recent&nbsp;<a href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fold.sano.science%2Fnews%2Fsmart-work-for-smart-life-sw4sl-project-pilotage-has-officially-launched%2F&amp;sa=D&amp;sntz=1&amp;usg=AOvVaw3Vy8HwERfpcRshDn9IFhON\">study<\/a>&nbsp;investigates how to utilize machine learning for increased engagement with mobile and wearable health applications.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Z9os5w","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">In 2022 Aneta also obtained MBA from Edinburgh Business School.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">In 2022 Aneta also obtained MBA from Edinburgh Business School.<\/p>\n"]}],"meta_data":{"event_day":"2022-11-14","event_time":"2:00-3:30 PM (CET)","event_guest":"Aneta Lisowska \u2013 Sano Center for Computational Medicine, Krak\u00f3w, PL","has_medias":true,"medias":[{"icon":{"ID":1144,"id":1144,"title":"clock","filename":"clock.svg","filesize":1479,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","link":"https:\/\/sano.science\/seminars\/79-digital-behaviour-change-interventions-dbci-from-design-to-implementation\/clock\/","alt":"clock Sano Seminar","author":"7","description":"","caption":"Sano Seminar clock","name":"clock","status":"inherit","uploaded_to":13471,"date":"2023-06-01 13:24:42","modified":"2024-10-09 16:41:04","menu_order":0,"mime_type":"image\/svg+xml","type":"image","subtype":"svg+xml","icon":"https:\/\/sano.science\/wp-includes\/images\/media\/default.png","width":56,"height":57,"sizes":{"thumbnail":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","thumbnail-width":147,"thumbnail-height":150,"medium":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","medium-width":294,"medium-height":300,"medium_large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","medium_large-width":768,"medium_large-height":783,"large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","large-width":1004,"large-height":1024,"1536x1536":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","1536x1536-width":56,"1536x1536-height":57,"2048x2048":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","2048x2048-width":56,"2048x2048-height":57}},"title":"14th November 2022, 2:00-3:30 PM (CET)","link":""},{"icon":{"ID":1146,"id":1146,"title":"camera","filename":"camera.svg","filesize":1129,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","link":"https:\/\/sano.science\/seminars\/79-digital-behaviour-change-interventions-dbci-from-design-to-implementation\/camera\/","alt":"camera Sano Seminar","author":"7","description":"","caption":"Sano Seminar camera","name":"camera","status":"inherit","uploaded_to":13471,"date":"2023-06-01 13:25:24","modified":"2024-10-09 16:42:29","menu_order":0,"mime_type":"image\/svg+xml","type":"image","subtype":"svg+xml","icon":"https:\/\/sano.science\/wp-includes\/images\/media\/default.png","width":60,"height":38,"sizes":{"thumbnail":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","thumbnail-width":150,"thumbnail-height":95,"medium":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","medium-width":300,"medium-height":190,"medium_large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","medium_large-width":768,"medium_large-height":486,"large":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","large-width":1024,"large-height":648,"1536x1536":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","1536x1536-width":60,"1536x1536-height":38,"2048x2048":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/camera.svg","2048x2048-width":60,"2048x2048-height":38}},"title":"Join via ZOOM on","link":{"title":"seminar.sano.science","url":"http:\/\/seminar.sano.science","target":"_blank"}}]},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/13471","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/seminars"}],"version-history":[{"count":5,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/13471\/revisions"}],"predecessor-version":[{"id":13610,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/13471\/revisions\/13610"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media\/13472"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=13471"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}