{"id":60974,"date":"2022-11-23T00:00:00","date_gmt":"2022-11-22T23:00:00","guid":{"rendered":"https:\/\/podcast.rs\/?p=60974"},"modified":"2022-11-23T02:20:34","modified_gmt":"2022-11-23T00:20:34","slug":"radio-galaksija-161-masinsko-ucenje-u-medicini-ognjen-milicevic-22-11-2022","status":"publish","type":"post","link":"https:\/\/podcast.rs\/en\/radio-galaksija-161-masinsko-ucenje-u-medicini-ognjen-milicevic-22-11-2022\/","title":{"rendered":"Radio Galaksija #161: Ma\u0161insko u\u010denje u medicini (Ognjen Mili\u0107evi\u0107) [22-11-2022]"},"content":{"rendered":"<p>U ovoj epizodi smo pri\u010dali o primenama ma\u0161inskog u\u010denja u oblasti medicine i zdravstva, a u gost je bio <b>Ognjen Mili\u0107evi\u0107<\/b>, sa Instituta za medicinsku statistiku i informatiku Medicinskog fakulteta Univerziteta u Beogradu, bioinformati\u010dki istra\u017eiva\u010d u GenieUs Genomics i Machine Learning Tech Lead u kompaniji HTEC Group.\u00a0<\/p>\n<p>Pri\u010dali smo o razli\u010ditim domenima i va\u017enim i izazovnim problemima na koje se ma\u0161insko u\u010denje u medicini mo\u017ee primeniti: od detekcije razli\u010ditih vrsta tumora na CT skenovima i drugim vrstama medicinskih snimaka u dijagnostici, preko prediktivnih modela za razli\u010dita zdravstvena stanja na osnovu velikog broja podataka o pacijentima, modela koji prate i bave se opisivanjem i predikcijama pona\u0161anja pacijenata, do primena u oblasti dizajna novih lekova i tretmana, ili kori\u0161\u0107enju ma\u0161inskog u\u010denja u robotski asistiranim hirur\u0161kim zahvatima, ali i mnogim drugim problemima i oblastima primene ma\u0161inskog u\u010denja u medicini.\u00a0<\/p>\n<p><a rel=\"payment\" href=\"http:\/\/patreon.com\/radiogalaksija\">Support the show<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>U ovoj epizodi smo pri\u010dali o primenama ma\u0161inskog u\u010denja u oblasti medicine i zdravstva, a u gost je bio Ognjen Mili\u0107evi\u0107, sa Instituta za medicinsku statistiku i informatiku Medicinskog fakulteta Univerziteta u Beogradu, bioinformati\u010dki istra\u017eiva\u010d u GenieUs Genomics i Machine Learning Tech Lead u kompaniji HTEC Group.\u00a0 Pri\u010dali smo o razli\u010ditim domenima i va\u017enim i&#8230;<\/p>","protected":false},"author":3,"featured_media":41315,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"audio","meta":{"footnotes":""},"categories":[70],"tags":[],"class_list":["post-60974","post","type-post","status-publish","format-audio","has-post-thumbnail","hentry","category-radio-galaksija","post_format-post-format-audio"],"_links":{"self":[{"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/posts\/60974","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/comments?post=60974"}],"version-history":[{"count":1,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/posts\/60974\/revisions"}],"predecessor-version":[{"id":60975,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/posts\/60974\/revisions\/60975"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/media\/41315"}],"wp:attachment":[{"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/media?parent=60974"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/categories?post=60974"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/tags?post=60974"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}