RT 1: AI and Vendor Proposals: Hype or Help?
Silvana Giro, Senior Management, Global Medical & Regulatory Affairs, Bracco Imaging
RT 2: Patient Engagement Tools That Actually Work
Behtash Bahador, Senior Director, Community Engagement & Partnerships, CISCRP
RT 3: Key Takeaways of Project Optimus
Karin Nordbladh, Director, Clinical Operation, Immune Oncology, Alligator Bioscience
With the increasing complexity of clinical trials, we are seeing a heightened responsibility and burden placed on both patients and sites. In this session, we will:
- Explore the latest insights on participant challenges and preferences, drawing on the latest CISCRP Perceptions & Insights Study
- Share what research sites are calling out as top priorities in supporting their patients and studies
- Showcase how patient- and site-centric solutions can reduce workload, enhance visibility, and streamline the clinical trial journey
What Patients and the Public Think: Insights on AI and Tech in Trials
As AI and emerging technologies reshape the clinical research landscape, understanding the perceptions and experiences of trial participants, patients, and the public is critical to building trust and improving trial success when these tools are used. Drawing on the latest CISCRP Perceptions & Insights bi-annual survey of over 12,000 respondents globally, this session explores concerns, expectations, and trial experiences on the use of AI and decentralized trial technologies. Practical approaches to the planning and use of these tools in research will also be shared, aligned with emerging patient-centric regulatory and good practice expectations.
Protocol amendments, slow enrolment, and late feasibility surprises aren’t failures of science, they’re failures of execution. In this session, we’ll show how Aika, Biorce’s AI-driven clinical trials assistant, applies real-world operational evidence to trial design decisions before problems surface. The session includes a live demo of Aika, illustrating how teams can identify execution risk early and design more predictable, scalable trials.