{"616746":{"#nid":"616746","#data":{"type":"event","title":"CHAI Seminar Series: Cao (Danica) Xiao, PhD - Deep Learning for Healthcare: Opportunities, Innovations, and Challenges","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker: Cao (Danica) Xiao, PhD, \u003C\/strong\u003EResearch Staff Member, AI for Healthcare, IBM Research\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate: \u003C\/strong\u003EThursday, January 24, 2019\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime: \u003C\/strong\u003E03:00pm \u0026ndash; 04:15pm\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u0026nbsp; \u003C\/strong\u003EJesse W. Mason Building, Room 2117\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;The massive generation and collection of digitized health data, e.g. electronic health records (EHRs), along with these notable, longstanding healthcare deficiencies including diagnostic errors and medication mistakes are calling for more advanced techniques to power health data for improving healthcare. Deep learning provides great potential in transforming diverse health analytics tasks. In this talk, we mainly explore the following ones:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EAccurate medical embedding across correlated and multimodal medical entities to facilitate disease diagnosis or adverse drug reaction detection.\u003C\/li\u003E\r\n\t\u003Cli\u003EPersonalized and safe medication recommendation under evolving health conditions.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EIn my talk, I will present our recent works, and talk about how we take deep learning approaches to address these challenges. In addition, I will also discuss several open challenges for applying deep learning in healthcare applications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003ECao (Danica) Xiao is a research staff member in the AI for Healthcare team at IBM Research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHer research focuses on developing machine learning and deep learning models to solve real world healthcare challenges. Particularly, she is interested in deep computational phenotyping, adverse drug reaction signal detection from heterogeneous real world evidence, interpretable health analytics, and translational informatics research (e.g., drug similarity for drug safety and discovery).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe results of her research have been published in leading AI conferences including NIPS, ICLR, KDD, AAAI, IJCAI, SDM, ICDM, and top health informatics journals such as Nature Scientific Reports and JAMIA. She also serves as the principal investigator for several MIT-IBM joint projects. Prior to IBM Research, she acquired her Ph.D. degree from University of Washington, Seattle in 2016.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDeep Learning for Healthcare: Opportunities, Innovations, and Challenges\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"CHAI Seminar Series: Cao (Danica) Xiao, PhD, Research Staff Member, AI for Healthcare, IBM Research"}],"uid":"34654","created_gmt":"2019-01-23 15:05:52","changed_gmt":"2019-01-23 15:05:52","author":"jvaldez8","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-01-24T15:00:00-05:00","event_time_end":"2019-01-24T16:15:00-05:00","event_time_end_last":"2019-01-24T16:15:00-05:00","gmt_time_start":"2019-01-24 20:00:00","gmt_time_end":"2019-01-24 21:15:00","gmt_time_end_last":"2019-01-24 21:15:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"616743":{"id":"616743","type":"image","title":"Dr. Cao \u0022Danica\u0022 Xiao, PhD","body":null,"created":"1548255314","gmt_created":"2019-01-23 14:55:14","changed":"1548255314","gmt_changed":"2019-01-23 14:55:14","alt":"","file":{"fid":"234733","name":"danicaxiao.jpg","image_path":"\/sites\/default\/files\/images\/danicaxiao.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/danicaxiao.jpg","mime":"image\/jpeg","size":13689,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/danicaxiao.jpg?itok=No5f1aXL"}}},"media_ids":["616743"],"groups":[{"id":"595480","name":"CHAI"}],"categories":[],"keywords":[{"id":"173284","name":"Center for Health Analytics and Informatics"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJeffrey Valdez (valdez@cc.gatech.edu)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJimeng Sun (jsun@cc.gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}