Using Machine Learning Fairness to Help Assess and Design More Representative Clinical Trials | Kisaco Research

Using Machine Learning Fairness to Help Assess and Design More Representative Clinical Trials

  • Assessing representativeness of randomized clinical trials using ML fairness metrics and surveillance data
  • Using these metrics to assess and monitor representativeness of clinical trials
  • New tools for designing representative and more efficient single and multi-site trials
Speaker(s): 

Author:

Kristin Bennett

Professor of Mathematical Sciences
Rensselaer Polytechnic Institute
... read more

Kristin Bennett

Professor of Mathematical Sciences
Rensselaer Polytechnic Institute