Utilizing Causal Machine Learning to Reveal Interconnection of Novel Drivers of 3P-MACE

Time: 8:30 am
day: Day Two


  • Modeling the causal networks of clinical and molecular features can identify new predictors of MACE
  • Improving risk stratifications by combining known and novel predictors of MACE
  • Understanding relationships of predictors linked by molecular pathways to accelerate hypothesis generation