ML2ClinicalTrials is an open-source project providing AI-ready clinical trial datasets and tools to facilitate research on trial duration, patient dropout, serious adverse events, mortality prediction, and more. This repository is actively maintained and the directory structure may evolve as new features and datasets are added.
- [Mar, 2025] The TrialBench project homepage is now live—explore our platform for detailed information and updates!
- [Jul, 2024] Our latest research on AI-driven clinical trial analysis has been published on arXiv. Check out the publication for insights into our methodology and results!
This repository offers:
- TrialBench: Toy samples of AI-ready clinical trial datasets TrialBench.
- AI4Trial: Codebase for running experiments on tasks such as mortality rate prediction, serious adverse event forecasting, and more.
If you encounter any issues or have questions, please open an issue on GitHub. For additional help, feel free to reach out to our team.
If you use this work in your research or projects, please cite it as follows:
@article{chen2024trialbench,
title={Trialbench: Multi-modal artificial intelligence-ready clinical trial datasets},
author={Chen, Jintai and Hu, Yaojun and Wang, Yue and Lu, Yingzhou and Cao, Xu and Lin, Miao and Xu, Hongxia and Wu, Jian and Xiao, Cao and Sun, Jimeng and others},
journal={arXiv preprint arXiv:2407.00631},
year={2024}
}