About

This project leverages Natural Language Processing (NLP) and Large Language Models (LLMs) like BioBERT or ClinicalBERT to predict the time taken for enrollment in clinical trials. The primary challenge is to extract meaningful insights from clinical trial descriptions, participant criteria, and trial phases to develop a model