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TREC Precision Medicine track focuses on search tasks tailored for oncologists. Given a cancer patient, the proposed systems must find clinical trials that match the patient, as well as the relevant information from biomedical literature (PubMed abstracts 2019 baseline). In our experiments, we compare BM25 and Divergence from Randomness (DFR) baselines and report results obtained with multiple learning-torank models. Some of our submitted runs score in top ten runs reported by the organisers.dblp:conf/trec/RybinskiKP19 fatcat:x5bnzzsq2bfexgwrqte4dymkqi