{"id":2057,"date":"2023-06-05T20:55:00","date_gmt":"2023-06-05T20:55:00","guid":{"rendered":"https:\/\/clinicaltrialrisk.org\/?p=2057"},"modified":"2023-09-02T21:41:17","modified_gmt":"2023-09-02T21:41:17","slug":"plotly-dash-challenge-webinar-on-7-june-2023","status":"publish","type":"post","link":"https:\/\/clinicaltrialrisk.org\/plotly-dash-challenge-webinar-on-7-june-2023\/","title":{"rendered":"Plotly Dash challenge webinar on 7 June, 2023"},"content":{"rendered":"\n

Natural language processing<\/a> is becoming ever more important in research. The explosion in interest in LLMs is sparking many opportunities to analyse text data in healthcare<\/a>, social sciences<\/a>, and other areas<\/a>. <\/p>\n\n\n\n

We\u2019re proud to announce that the Clinical Trial Risk Tool<\/a> has been selected as a winner of the Plotly Dash Example Apps Challenge (2023)<\/a>, out of 25 amazing apps submitted by the community.<\/p>\n\n\n\n

Funded by the Bill and Melinda Gates Foundation<\/a>, this app uses natural language processing<\/a>, Plotly Dash<\/a>, and the spaCy<\/a> and Scikit-Learn<\/a> libraries to calculate the risk of a clinical trial failing to deliver informative results<\/a>. It reads the trial protocol and identifies key features from the text which are fed into a risk model.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Join Plotly’s webinar to see the tool in action! https:\/\/tinyurl.com\/4zd3emkr<\/p>\n\n\n\n

You can try the app at: https:\/\/app.clinicaltrialrisk.org\/<\/a>.<\/p>\n\n\n\n

Wood TA and McNair D. Clinical Trial Risk Tool: software application using natural language processing to identify the risk of trial uninformativeness. Gates Open Res 2023, 7:56 (https:\/\/doi.org\/10.12688\/gatesopenres.14416.1<\/a>).<\/p>\n","protected":false},"excerpt":{"rendered":"

Natural language processing is becoming ever more important in research. The explosion in interest in LLMs is sparking many opportunities to analyse text data in healthcare, social sciences, and other areas. We\u2019re proud to announce that the Clinical Trial Risk Tool has been selected as a winner of the Plotly Dash Example Apps Challenge (2023), out of 25 […]<\/p>\n","protected":false},"author":1,"featured_media":2058,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"yoast_head":"\nPlotly Dash challenge webinar on 7 June, 2023 - CLINICAL TRIAL RISK TOOL<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/clinicaltrialrisk.org\/plotly-dash-challenge-webinar-on-7-june-2023\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Plotly Dash challenge webinar on 7 June, 2023 - CLINICAL TRIAL RISK TOOL\" \/>\n<meta property=\"og:description\" content=\"Natural language processing is becoming ever more important in research. The explosion in interest in LLMs is sparking many opportunities to analyse text data in healthcare, social sciences, and other areas. 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