CLaDMoP pre-trains a two-branch model on successful clinical trials with a pair-matching objective, then fine-tunes it to predict trial success, outperforming prior models on the TOP benchmark.
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CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs
CLaDMoP pre-trains a two-branch model on successful clinical trials with a pair-matching objective, then fine-tunes it to predict trial success, outperforming prior models on the TOP benchmark.