Clinical Trial
Clinical trials are research studies designed to evaluate the safety and efficacy of new medical interventions, aiming to accelerate the development of effective treatments. Current research emphasizes leveraging artificial intelligence, particularly large language models (LLMs) and deep learning networks, to improve various aspects of the trial process, including target selection, design optimization, patient recruitment, and outcome prediction. These AI-driven approaches offer the potential to significantly reduce costs, improve efficiency, and enhance the overall success rate of clinical trials, ultimately benefiting both researchers and patients.
Papers
SynRL: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning
Trisha Das, Zifeng Wang, Afrah Shafquat, Mandis Beigi, Jason Mezey, Jimeng Sun
A Clinical Trial Design Approach to Auditing Language Models in Healthcare Setting
Lovedeep Gondara, Jonathan Simkin