Archives: Agenda

• Moving from basic functionalities to more meaningful impact and examples of this in practice
• When AI is progressing so quickly, how will regulation evolve to match this speed?
• When is AI not the answer?
• How AI has revolutionised innovative ways of collecting data, biosimulation, and early disease diagnosis for oncology trials

Moderator: Asiyah Nawab, Senior Healthcare Analyst (Immunology Team), GlobalData

THIS SESSION WILL BE IN THE ONCOLOGY CONFERENCE ROOM NEXT DOOR

• Overview of rare diseases in Immunology
• Pharma focus on rare diseases in Immunology for drug development – where do industry interests lie?
• Challenges in rare disease trials in immunology
• Case Study – Sarepta’s Elevidys in Duchenne Muscular Dystrophy (DMD)

• Incorporating digitalization and new technologies into your clinical trials
• Collaborative platforms: improving communication and efficiency among stakeholders
• Success stories, transformative cases and key takeaways

• The landscape of clinical trials is undergoing a transformative shift as digital technologies continue to permeate every aspect of the healthcare industry
• One potential transformation could be the replacement of traditional paper-based relabelling in clinical trials with digital display labels
• The integration of digital display labels into clinical trials represents a significant leap forward in the industry. As this technology matures and becomes more widely adopted, it could impact the way clinical trials are conducted and managed especially in the areas of remote monitoring, adaptive trials, and patient engagement
• In this session, we will explore the challenges associated with traditional relabelling processes in clinical trials, the advantages of adopting digital display labels, and the potential impact on the future of healthcare research

In the rapidly evolving landscape of procurement, staying ahead of the curve is more critical than ever.

This session will explore the transformative role of Artificial Intelligence (AI) in revolutionizing clinical business operations. Attendees will gain insights into how AI is reshaping strategic sourcing, vendor management, and cost optimization, enabling organizations to achieve unprecedented levels of efficiency and agility.

Through real-world use cases we’ll delve into AI-driven tools that enhance decision-making, streamline workflows, and predict study cost with unparalleled accuracy. Whether you’re an outsourcing manager, a clinical operations or R&D finance professional, this session will equip you with the knowledge and strategies needed to harness the power of AI for smarter, more effective procurement leveraging Clinical Maestro powerful engine.

Discussing the status quo of clinical trials in Denmark and beyond including factors influencing country selection

• Considering barriers of success for site-set up and patient recruitment/screening
• Considering types of data that can be utilized to assist with patient recruitment challenges
• Incorporating data findings into development of eligibility criteria
• Using secondary health data to identify sites and patient cohorts

• Ensuring temperature maintenance throughout packing, shipping and at sites
• Considering monitoring tools and loggers to assist in temperature tracking
• Complying with regulatory auditing guidelines
• Discussing trial product quality once it reaches the patient: who should be responsible?