Strengthening A Commitment To Diversity And Inclusion In R&d With The Help Of Novel Machine Learning Approaches

Ensuring diversity in clinical trials is crucial for understanding the efficacy of treatments across different patient populations. Despite efforts to address disparities, underrepresentation of gender, racial, and ethnic minorities persists, leading to knowledge gaps and unequal health outcomes. The US FDA has issued guidance for trial sponsors to develop diversity plans to proactively address this issue.