{"id":10866,"date":"2024-04-26T16:49:23","date_gmt":"2024-04-26T20:49:23","guid":{"rendered":"https:\/\/engineering.jhu.edu\/designcenter\/?p=10866"},"modified":"2025-04-23T17:10:17","modified_gmt":"2025-04-23T21:10:17","slug":"lactalearn-develops-app-to-support-mothers-with-breastfeeding","status":"publish","type":"post","link":"https:\/\/engineering.jhu.edu\/designcenter\/2024\/04\/26\/lactalearn-develops-app-to-support-mothers-with-breastfeeding\/","title":{"rendered":"LactaLearn Develops App to Support Mothers with Breastfeeding"},"content":{"rendered":"\n<p>Did you know 80% of new mothers want to exclusively breastfeed their infant, but only 41% do? The most common reason they stop: They&#8217;re worried that their newborn isn&#8217;t getting enough milk. @JHUBME&#8217;s LactaLearn #DesignDay24 team has a solution: Their app uses a deep learning model to estimate milk transfer efficiency. Through the detection of audible rhythmic swallowing\u2014a sign of consistent milk intake\u2014it can provide parents with reassurance that their newborn is well fed. It&#8217;s a big improvement over techniques like at-home timing of feedings and weighing the baby before and after. See it in action May 1!<\/p>\n\n\n\n<p><strong>Team Members:<\/strong> David Lu, Shalika Subramanian, Eric Song, Rida Danish, Veronica Kidwell, Iris Zheng, Christina Heal-Kowal, Mackenzie Petersen<br><strong>Faculty Mentor:<\/strong> Michelle Zwernemann<br><strong>Clinical Mentor:<\/strong> Dr. Azadeh Farzin<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-right is-layout-flex wp-container-core-buttons-is-layout-d445cf74 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-medium-font-size has-custom-font-size wp-element-button\" href=\"https:\/\/engineering.jhu.edu\/designcenter\/design-gallery\/entry\/11987\/\">Read more about this project in the Design Gallery<\/a><\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>@JHUBME&#8217;s LactaLearn #DesignDay24 team&#8217;s app uses a deep learning model to estimate milk transfer efficiency.<\/p>\n","protected":false},"author":32,"featured_media":10875,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","footnotes":""},"categories":[11,14],"tags":[],"class_list":["post-10866","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-design-day-news","category-news"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>LactaLearn Develops App to Support Mothers with Breastfeeding - Johns Hopkins University Engineering Design Center<\/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:\/\/engineering.jhu.edu\/designcenter\/2024\/04\/26\/lactalearn-develops-app-to-support-mothers-with-breastfeeding\/\" \/>\n<meta property=\"og:locale\" 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