Interpretable Causal Targeted Machine Learning

The Interpretable Causal Targeted Machine Learning (ICTML) Project is a multi-institution collaboration that aims to:

• Develop a highly efficient, user-friendly, and scalable end-to-end platform for machine learning and causal inference.
• Provide a comprehensive educational resource for the analysis of real world data.
• Support a wide national network of collaborators in cancer research to produce real world evidence for oncology.