Can AI solve the generation of patient friendly label from scientific content?
Can you help build an algorithm that is informed by completed study conduct to inform the designs of future studies that bring therapies to patients that need them?
Can you train a model to identify patterns in clinical data to reconcile data faster and speed up study conduct while maintaining, and in some cases, improving data quality?
Pfizer’s Breakthrough Change Accelerator is a competitive incubation sandbox created to power rapid and robust machine learning in a secure environment. We invite innovators to collaborate on challenges using large volumes of relevant datasets to create novel technology solutions that speed up development of medicines to patients.