Factoring race and ethnicity into clinical and HEOR studies to better understand disparities in cancer outcomes presents a variety of challenges to study design and conceptualization. Please join our short webinar on an epidemiological approach to using real-world data and AI optimization and prediction technologies to rapidly analyze patient clinical and demographic characteristics, biomarkers, treatment and outcomes – to aid the further investigation of health disparities.
We will expand on the epidemiologic concept of mediation and how real-world data can help us identify factors on the pathway between race/ethnicity and treatment outcomes that could be targeted with interventions to reduce disparities.
This webinar will also feature our recently launched Digital Trial Optimization SaaS solution, which uses powerful oncology real-world data combined with AI-enabled technologies. This is the third in a series of short webinar practicums that will illustrate how real-world data and technology solutions in oncology can support novel study designs.