Oncology clinical trial complexity remains higher than any other therapeutic area, with more endpoints and inclusion/exclusion criteria. This contributes to high site and patient burden and nearly 30% of patients dropping out before study completion. Clinical trials must become more patient-centric, and the COVID-19 pandemic has only further underscored the need to do so.
This mini-webinar will focus on how advanced real-world data and innovative AI technologies work together to reduce patient burden and optimize study design and success. This webinar will feature our recently launched Digital Trial Optimization SaaS solution, which uses powerful oncology real-world data combined with AI-enabled technologies. This is part of our series of short webinar practicums that illustrate how real-world data and technology solutions in oncology can support novel study designs.