Archives: Agenda

• Learning criteria for identifying investigator aligned with study goals, device expertise and regulatory expectations
• Building relationships at clinical sites
• Effective training for investigators and site staff
• Optimizing the informed consent process

Data plays an increasingly critical role in the age of AI in life sciences. Using data and AI effectively can help:

• accelerate research & development by making new and larger data points easily accessible
• optimize trial design and enrolment by analyzing population and patient characteristics
• improve manufacturing efficiency and commercialization

• DEI considerations: How can we establish trust within less-represented groups?
• How can patient advocacy groups remain at the forefront of the discussion on study design and tailored communication programs
• Overcoming obstacles in recruiting pediatric patients and how to make it easier for them and their parents to participate
• Ensuring optimal communication with sites to support their efforts
• The need for clinical trials to be accessible to patients

Chair: Ros Cheetham, Vice President, Clinical Operations, MacroGenics

• Battling site competitiveness to reduce delays on study start-up: what can you do differently to tackle these operational challenges?
• When there are immense pressures on the trial ecosystem, how can we build quality and ensure quantity in an innovative way
• Developing an optimized strategy as a small to medium-sized biotech with limited resources to stay afloat
• Discussing the importance of protocol optimization and specialized statistical support to reduce the pressure on sites and relieve bottlenecks

Chair: Susan Edelstein, PhD, SVP, Clinical Research, Ardelyx

• Redefining hope: navigating tough conversations about disease-modifying treatments.
• Genetic testing’s unexpected role in driving patient enthusiasm for trials.
• When science outpaces understanding: bridging the gap with patients and clinicians.
• Lessons from case studies

• Overcoming regulatory hurdles: How are agencies responding to new technologies?
• Ethical considerations: Ensuring patient data privacy and compliance.
• Operational barriers: Integration with existing trial frameworks (or do we need to adapt?)
• Future Outlook: What technologies will dominate in the next 5–10 years?

Chair: Joshua Cox, Vice President of Clinical Data & Analytics Capabilities, Eli Lilly and Company

• Designing and executing a successful RBQM framework to meet your specialized trial goals
• Sharing best practice on implementing new modern EDC systems to provide built-in validation checks and automated information checks when some CROs are lacking
• Focusing on critical data and processes by documenting risks, roles, and mitigation strategies
• Meaningful key performance indicators for RSQM