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In this paper we present ASCOT, an efficient search application for clinical trials that is designed to aid writing new trials. Clinical trials are protocols describing medical research on humans. Although they are a valuable source of medical practice evidence, search is laborious due to the immense number of existing protocols. Writing a new trial includes composing detailed eligibility criteria, which might be time-consuming, especially for new researchers. ASCOT uses text mining and data mining methods to enrich clinical trials with metadata, that can be employed to narrow down search. In addition, ASCOT integrates an eligibility criteria recommendation component.