Clinical Trials: Are We Whitewashing the Data?

<p>Is every clinical trial created equal? In this episode, we learn some shocking information about the proportions of populations normally included in clinical trials. We specifically cover recent treatments for Alzheimer’s disease to discuss how we may have failed to consider minority populations in our research and how we can use precision medicine to create more equitable clinical trials. We also discuss how we can redevelop trust in scientific institutions in the wake of the pandemic and how health professionals can adapt their research techniques to include data from historically underrepresented populations.</p> <p>We had a wonderful cast join us for this episode. We had Stephanie Monroe, Vice President and Senior Advisor of Health Equity and Access for UsAgainstAlzheimer’s, a national advocacy group that aims to diversify the movement to cure Alzheimer’s disease. After working on Capitol Hill and holding the position of Assistant Secretary of Education for Civil Rights for three years, Stephanie’s work has focused on raising awareness about the disparate impact of Alzheimer’s disease on communities of color and women.</p> <p>We also had Consuelo Wilkins, Senior Vice President and Senior Associate Dean of Health Equity and Inclusive Excellence, and a Professor of Medicine at Vanderbilt University Medical Center. She is an elected member of the National Academy of Medicine and works with the All of Us Research Program, a national precision medicine project. She is also the Principal Investigator of three NIH-funded centers which aim to decrease health disparities for communities of color and create new approaches to recruiting marginalized communities for clinical trials. </p> <p>This conversation was so fun and yielded so many valuable insights regarding how we can create more equitable research for communities of color. We hope you enjoy the episode!</p> <p>Interested in how misinformation circulates? Listen to our <a href='https://open.spotify.com/episode/0VFAjyvutwcdLOewAOLX2F?si=55ca8ca6b0024796'>previ