 This study used supervised machine learning algorithms and a deep learning approach to identify characteristics of individuals more likely to show an interest in participating in clinical trials. The deep learning model outperformed the other models, achieving an AUC score of 0.8105. This suggests that there are meaningful correlations between certain predictor variables and the outcome variable of interest. This article was authored by Jeanette Vazquez, Samir Abdul-Romin, Loretta M. Bern and others.