AI for Health by Artefact

🇬🇧 A machine learning approach using Real World Data for site selection

Description

Clinical trials represent a significant investment with the drug development process. Reducing the duration of clinical trials could have a significant impact on the development costs and could make treatments available to patients sooner. This masterclass will introduce usage of internal, external, and real-world data to rank sites based on their expected performance. By using claims, procedures, and pharmacy data, the identification of patient-site interactions allows to better understand which interactions contribute to the success of a clinical trial site. This will lead to faster enrollment durations within clinical trials and bring the treatment to the patients faster.