The integration of machine learning-based & LLM based AI into clinical trial data management & clinical operations remains elusive, not just operational and technological challenges. The promise of AI transforming clinical trials is yet to unfold. Here

Auto-coding, the process of automatically assigning standardized codes to clinical trial data, has primarily relied on string matching techniques. When data terms match exactly with those in the dictionary such as MedDRA, coding is straightforward and accurate.

Remember when it seemed like clinical trials had to be slow and full of tedious paperwork? We all believed that manual data entry and constant human oversight were essential to ensure everything was accurate and safe. But

The adoption of Large Language Models (LLMs), is on the horizon in clinical trial, promising significant productivity improvements in both data management and clinical operations. While AI shows great potential, its integration into clinical workflows faces several