- Understanding how we got here
- Coordinating JCA in parallel to MAA
- How to adapt your oncology strategy to JCA
- What’s next for JCA
Paediatric trials bring amplified risks, tighter regulations, and higher stakes for patient safety – but the lessons learned extend far beyond children’s studies. In this case study, we examine the unique challenges of conducting a paediatric clinical trial and explore how its insights can be applied to improve planning, safety oversight, and operational efficiency in any therapeutic area.
Discover how artificial intelligence is transforming clinical research by streamlining processes from protocol design to regulatory submission. This session explores practical AI applications for overcoming recruitment challenges, ensuring ethical implementation, and shaping the future of oncology trials.
Every day of Phase III delay costs roughly $56,000, and much of the signal sponsors pay for is lost to three sources of noise that are largely within our control: patient attrition (Phase III dropouts frequently exceed 30%), measurement variance in subjective endpoints (placebo response of 20–40% is the norm in recall-based PROs), and unmeasured environmental exposure (light is still captured, if at all, by a checkbox).
This session presents a practical framework for addressing each source with measurement rather than molecules, combining behavioral-science eCOA with sensor-based digital endpoints — ScratchSense for continuous itch and sleep quantification, and RaySense for UV, visible, and infrared exposure. The framework is applicable across dermatology, pruritus-driven indications (atopic dermatitis, CKD-associated pruritus, chronic urticaria, prurigo nodularis), lupus, chronobiology, and photosensitive-drug safety programs. The session includes a live ScratchSense demonstration showing the gap between recall-based itch reporting and continuous objective measurement.
Attendees will: