About ComptoxAI

ComptoxAI is a toolkit designed to enable AI and data science research in computational toxicology. Like many areas in biomedicine, environmental toxicology is facing a deluge of valuable data being generated in a wide array of modalities and levels of biological organization. However, the tools for interacting with these data are - at best - inconsistent, outdated, and fail to leverage state-of-the-art computational methods.

We’re creating ComptoxAI in order to change this.

Authors

ComptoxAI is developed and maintained by Joseph D. Romano, who is currently a postdoctoral researcher at the University of Pennsylvania in the Computational Genetics Lab.

Citing ComptoxAI

ComptoxAI is still under development, but we will update this page with a preprint citation when we have one written. In the meantime, please contact us if you would like to use ComptoxAI for research purposes (you don’t need our permission, we’d just like to make sure you’re aware of which work is evaluated and which isn’t at this point)!

Funding and Acknowledgements

ComptoxAI is supported by grant funding from the US National Institutes of Health, including R01-LM010098 (PI: Moore), R01-LM012601 (PI: Moore), and T32-ES019851 (PI: Penning).