pharmaphorum November 19, 2024
Phil Taylor

Researchers from the National Institutes of Health (NIH) are applying artificial intelligence to the recruitment of volunteers into clinical trials, aiming to solve a major obstacle in clinical research.

Patient recruitment remains a major challenge for trial sponsors and can lead to delays and increased costs, and traditional methods can be time-consuming and inefficient.

The NIH team’s large language model (LLM) – called TrialGPT and derived from ChatGPT – takes out the legwork in the process by identifying relevant clinical trials for which a person is eligible and providing a summary that explains how that person meets the criteria for study enrolment. They have published a paper on the platform in the journal Nature Communications.

It’s been estimated that 80%...

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