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New method predicts if COVID-19 clinical trials will be completed or suspended In order to win the battle against COVID-19, studies to develop vaccines, drugs, devices and re-purposed drugs are urgently needed. Randomized clinical trials are used to provide evidence of safety and efficacy as well as to better understand this novel and evolving virus. As of July 15, more than 6,180 COVID-19 clinical trials have been registered through ClinicalTrials.gov, the national registry and database for privately and publicly funded clinical studies conducted around the world. Knowing which ones are likely to succeed is imperative. Researchers from Florida Atlantic University s College of Engineering and Computer Science are the first to model COVID-19 completion versus cessation in clinical trials using machine learning algorithms and ensemble learning. The study, published in

Stella batalamaXingquan hill zhuMagdalyn maggie elkinEmily hendersonDepartment of computerCollege of engineeringFlorida atlantic university college of engineeringNeural networkFlorida atlantic universityComputer scienceElectrical engineeringRandom forestஎமிலி ஹென்டர்சன்துறை ஆஃப் கணினிகல்லூரி ஆஃப் பொறியியல்புளோரிடா அட்லாண்டிக் பல்கலைக்கழகம் கல்லூரி ஆஃப் பொறியியல்