{"id":129079,"date":"2021-10-16T11:22:34","date_gmt":"2021-10-16T18:22:34","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2021\/10\/ai-can-detect-signals-for-mental-health-assessment"},"modified":"2021-10-16T11:22:34","modified_gmt":"2021-10-16T18:22:34","slug":"ai-can-detect-signals-for-mental-health-assessment","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2021\/10\/ai-can-detect-signals-for-mental-health-assessment","title":{"rendered":"AI Can Detect Signals for Mental Health Assessment"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/ai-can-detect-signals-for-mental-health-assessment.gif\"><\/a><\/p>\n<p><strong>AI can detect signals that are informative about mental health from questionnaires and brain scans.<\/strong><\/p>\n<p>A study published today by an interdisciplinary collaboration, directed by Denis Engemann from Inria, demonstrates that machine learning from large population cohorts can yield \u201cproxy measures\u201d for brain-related health issues without the need for a specialist\u2019s assessment. The researchers took advantage of the UK Biobank, one of the world\u2019s largest and most comprehensive biomedical databases, that contains detailed and secure health-related data on the UK population. This work is published in the open access journal <em>GigaScience<\/em>.<\/p>\n<p>Mental health issues have been increasing worldwide, with the WHO determining that there has been a 13% increase in mental health conditions and substance abuse disorders between 2007 and 2017. The burden these diseases place on society is extensive, negatively impacting nearly every area of life: school, work, family, friends, and community engagement. Among the many issues impeding the ability of society to address these disorders is that diagnoses of such health issues requires specialists; the availability of which ranges drastically across the globe. The development of machine learning methodology for the purposes of facilitating mental-health assessments could provide a much needed additional means to help detect, prevent and treat such health issues.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI can detect signals that are informative about mental health from questionnaires and brain scans. A study published today by an interdisciplinary collaboration, directed by Denis Engemann from Inria, demonstrates that machine learning from large population cohorts can yield \u201cproxy measures\u201d for brain-related health issues without the need for a specialist\u2019s assessment. The researchers took [\u2026]<\/p>\n","protected":false},"author":396,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,1495,47,6],"tags":[],"class_list":["post-129079","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-health","category-neuroscience","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/129079","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/396"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=129079"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/129079\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=129079"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=129079"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=129079"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}