{"version":"1.0","provider_name":"Applied Data Science","provider_url":"https:\/\/sites.hslu.ch\/applied-data-science","title":"Deep learning to diagnose malaria \u2013 Graduates develop the Malatec app - Applied Data Science","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"SDjaLIB2Zb\"><a href=\"https:\/\/sites.hslu.ch\/applied-data-science\/deep-learning-to-diagnose-malaria-malatec\/\">Deep learning to diagnose malaria \u2013 Graduates develop the Malatec app<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/sites.hslu.ch\/applied-data-science\/deep-learning-to-diagnose-malaria-malatec\/embed\/#?secret=SDjaLIB2Zb\" width=\"600\" height=\"338\" title=\"&#8220;Deep learning to diagnose malaria \u2013 Graduates develop the Malatec app&#8221; &#8212; Applied Data Science\" data-secret=\"SDjaLIB2Zb\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/sites.hslu.ch\/applied-data-science\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/sites.hslu.ch\/applied-data-science\/wp-content\/uploads\/sites\/4\/2021\/07\/1280x531-Blog-Bild-IDS-Wordpress-9.png","thumbnail_width":1280,"thumbnail_height":531,"description":"A quick and inexpensive malaria diagnosis via an app should be possible! This is what our three recent Graduates of the Master\u2019s programme \u201cApplied Information and Data Science\u201d say to each other. Therefore and for this purpose they have decided to develop the Malatec smartphone application. The diagnosis is to be made by using an inexpensive, 3D-printed microscope (under 5 CHF), which will be developed for this purpose."}