Archives: Agenda

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.

• Defining what do we do well & what could be improved – EU vs US focus
• Planning & preparation within clinical trials – focus on phase 2/3
• Choosing the right trial designs for new inpatient studies
• How to achieve successful launch by building appropriate phase 3 program

• Mapping critical risk points across the clinical trial lifecycle and identifying early operational signals before they escalate into issues
• Strengthening Sponsor–CRO–site collaboration through structured communication pathways and performance monitoring frameworks
• Shifting from reactive to proactive management by embedding contingency thinking throughout trial execution to safeguard timelines, data quality, and study outcomes

There are many aspects to moving from early research to clinical delivery under one roof. Using Ribocure as a case study, this session explores the practical realities of building clinical operations and establishing an in-house Phase II unit.

• Building and scaling a clinical operations function
• Talent, structure, and service provider strategy
• Establishing an in-house Phase II unit: key considerations and patient recruitment

• Understanding stakeholder expectations for AI in clinical research
• Practical steps for integrating AI into study design and operations
• Ensuring data quality, transparency, and regulatory compliance
• Measuring adoption, engagement, and return on investment from AI initiatives

Have you ever wondered what the future holds for clinical operations? Currently the industry is laser focused on decentralised trials, patient diversity, risk-based monitoring, real world evidence and digitalization but where, exactly, is all this going to lead? More importantly how can we prepare for what lies ahead? Based on experience, and market and business intelligence Bernhard will dare to give us a glimpse into the future by:

• Exploring the challenges to come
• Recommending solutions to implement now, in preparation for tomorrow