2023 - Advancements in AI for optimal clinical trial site identification: Turning Big Data into actionable intel

Despite advancing technologies, clinical trials still struggle to meet patient enrollment goals. Slow enrollment directly impacts schedule and budget, with each day of delay carrying cripplingly high costs. Successful, timely patient recruitment is directly linked to effective clinical trial site identification and selection. Conversely, selecting the wrong site can negatively impact recruitment or result in total failure to enroll patients.
Join the featured speaker to learn how advancements in AI can help pharma and biotech identify the best sites for their clinical trials through the harnessing of Big Data. Topics and learnings include:
Insights on transitioning from a state of data overload to one of data driven, informed decision-making
The role of artificial intelligence in optimising clinical trial site identification and selection
Expected and unexpected downstream benefits of an AI-enabled site selection strategy