Causal Forests Trend 2026

Causal forests are a machine learning method for estimating heterogeneous treatment effects across individuals. By splitting data into subgroups, they reveal how a treatment’s impact varies (e.g., who benefits most from a drug). Researchers and policymakers use them to personalize interventions in medicine, economics, and social sciences.