{"id":216,"date":"2021-02-13T15:03:00","date_gmt":"2021-02-13T15:03:00","guid":{"rendered":"https:\/\/wellai.health\/blog\/?p=216"},"modified":"2024-04-03T03:12:09","modified_gmt":"2024-04-03T03:12:09","slug":"wellai-scientists-to-present-their-covid-19-machine-learning-tool-at-the-global-ifcc-conference","status":"publish","type":"post","link":"https:\/\/wellai.health\/blog\/wellai-scientists-to-present-their-covid-19-machine-learning-tool-at-the-global-ifcc-conference\/","title":{"rendered":"WellAI Scientists Set to Present Their Machine Learning Research at the Global IFCC Conference"},"content":{"rendered":"<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\">Everyone contributes to solving and eliminating the COVID-19 pandemic differently.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\">Doctors, nurses, other frontline workers, vaccine developers are the obvious heroes.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\">What about medical researchers?\u00a0 A great number of medical researchers from many fields of medicine, not just infectious disease experts, have been working hard to make sure we understand how COVID and other coronaviruses develop and how they affect the human body, and what the possible side effects and consequences are.\u00a0 This knowledge will help us be better prepared for the next pandemic, should it ever happen.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\">On April 7, 2020, shortly after the COVID outbreak, WellAI researchers made their contribution to this line of medical research by releasing the COVID-19 Machine Learning Tool for Medical Researchers available for free at <a href=\"https:\/\/wellai.health\/covid\">https:\/\/wellai.health\/covid<\/a>.\u00a0 It\u2019s the only tool that reads and summarizes coronavirus-related peer-reviewed research from all 69 UMLS medical categories.\u00a0 By using synonyms and correlated concepts, WellAI has built a database of 4,224,512 medical concepts, 60,892 of which are used specifically for COVID research.\u00a0 The peer-reviewed study of the WellAI COVID-19 Machine Learning Tool for Medical Researchers, as well as other AI-powered tools to fight COVID, titled &#8220;<a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32549878\/\">Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19<\/a>&#8221; and authored by WellAI scientists and world-renowned medical researchers, was published in the journal of eIFCC in June 2020.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\">WellAI data scientists Sergei and Daniel will present our research based on this tool titled \u201cComprehending Hundreds of Thousands of COVID-19 Studies using Mathematical Models of Language and AI\u201d at the global IFCC conference on Monday, February 15, 2021 at the session titled \u201cEmerging Tools in Fighting COVID-19\u201d at around 10am EST.\u00a0 Here is the agenda: <a href=\"https:\/\/www.ifcc.org\/media\/478822\/final-programme_ifcc-global-conference-on-covid-19.pdf\">https:\/\/www.ifcc.org\/media\/478822\/final-programme_ifcc-global-conference-on-covid-19.pdf<\/a><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\">At WellAI, we develop thorough peer-reviewed research, which is the backbone of all our products.<\/p>\n<p style=\"text-align: justify;\"><a href=\"https:\/\/wellai.health\">wellai.health<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Everyone contributes to solving and eliminating the COVID19 pandemic differently.<\/p>\n<p>Doctors, nurses, other frontline workers, vaccine developers are the obvious heroes.<\/p>\n","protected":false},"author":3,"featured_media":217,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[178,174],"tags":[27,138,22],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/wellai.health\/blog\/wp-content\/uploads\/2021\/02\/11111111-min-e1613401954199.png?fit=562%2C400&ssl=1","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/wellai.health\/blog\/wp-json\/wp\/v2\/posts\/216"}],"collection":[{"href":"https:\/\/wellai.health\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wellai.health\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wellai.health\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/wellai.health\/blog\/wp-json\/wp\/v2\/comments?post=216"}],"version-history":[{"count":6,"href":"https:\/\/wellai.health\/blog\/wp-json\/wp\/v2\/posts\/216\/revisions"}],"predecessor-version":[{"id":836,"href":"https:\/\/wellai.health\/blog\/wp-json\/wp\/v2\/posts\/216\/revisions\/836"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wellai.health\/blog\/wp-json\/wp\/v2\/media\/217"}],"wp:attachment":[{"href":"https:\/\/wellai.health\/blog\/wp-json\/wp\/v2\/media?parent=216"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wellai.health\/blog\/wp-json\/wp\/v2\/categories?post=216"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wellai.health\/blog\/wp-json\/wp\/v2\/tags?post=216"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}