{"id":31766,"date":"2022-05-18T10:49:14","date_gmt":"2022-05-18T09:49:14","guid":{"rendered":"https:\/\/touchneurology.com\/?post_type=media_gallery&p=31766"},"modified":"2022-05-20T10:40:04","modified_gmt":"2022-05-20T09:40:04","slug":"esoc-2022-brain-age-biomarkers-post-stroke-recovery","status":"publish","type":"media_gallery","link":"https:\/\/touchneurology.com\/stroke\/conference-hub\/esoc-2022-brain-age-biomarkers-post-stroke-recovery\/","title":{"rendered":"Martin Bretzner, ESOC 2022: Brain-age biomarkers to predict post-stroke recovery"},"content":{"rendered":"
Brain-age biomarkers can be used to predict post-stroke recovery. Dr Martin Bretzner<\/strong> (Lille Neuroscience & Cognition Research Centre, Lille University Hospital, Lille, France) discusses the results of a study using radiomics, an emerging image-quantifying technology to assess ‘brain-age’ biomarkers. The study investigates how relative brain age, rather than chronological age, can enhance stroke surveillance and improve predictions on post-stroke recovery.<\/p>\n The abstract entitled “‘Brain-age\u2019 biomarkers predict stroke recovery more accurately than chronological age, new study shows”<\/a>\u00a0was presented at the 8th European Stroke Organisation Conference<\/a>, May 4-6, 2022.<\/p>\n Questions:<\/strong><\/p>\n Disclosures<\/strong>: Martin Bretzner has nothing to disclose in relation to this video interview.<\/p>\n\n