Advancing Clinical Trial Outcome Prediction with Domain-Specific Large Language Models
The results suggest that pretrained biomedical representations already encode signal relevant to trial outcome, and that probing is a computationally cheaper alternative to fine-tuning for this task.
Burak Bakkar, Hana Moalla, Mohamed Salem Jedidi et al.
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