The paper is a collaborative position statement advocating for the integration of causal inference and digital twins into clinical trials, including a proposed validation framework, without any new experimental or theoretical results.
Estimating treatment effects with causal forests: An application
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CY 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation
The paper is a collaborative position statement advocating for the integration of causal inference and digital twins into clinical trials, including a proposed validation framework, without any new experimental or theoretical results.