Abstract: A system and method for identifying a plurality of candidates for one or more clinical trials comprising receiving health related data associated with each of the plurality of candidates, applying a predictive risk model to the health related data and for generating and assigning a risk score to each of the plurality of candidates based on a selected condition and then ranking each of the plurality of candidates based on the risk score, and generating a similarity score for each of the candidates having an assigned risk score higher than the threshold risk score with a matching machine learning technique. The similarity score is indicative of a similarity between each of the plurality of candidates and one or more participants in the one or more clinical trials.