Similarity of Clinical Trials Using Hierarchical Deep Learning Pre-Trained Model Representations

We are honored to present our work at AMIA 2023 Clinical Informatics Conference.

Clinical trials are essential steps for bio-medical studies but are expensive and time-
consuming. Learning from similar historical clinical trials can efficiently benefit
organizations planning to conduct clinical trials. Unfortunately, trial documents’
unstructured nature and complexity make keyword-based similarity search inefficient
and inaccurate. Here we proposed using the latest deep learning models in a
hierarchical manner for the challenging task.

You can get a copy of our poster from here.

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