- Transforming Protocol to Execution: How AIKA uses advanced AI to streamline protocol generation, enhance feasibility analysis, and reduce study start-up timelines.
- Data-Driven Decision Support: Leveraging real-time operational insights and predictive analytics to improve trial performance and risk mitigation.
- Scaling Clinical Operations: Practical examples of AIKA in action, from automated task orchestration to cross-functional collaboration that drives efficiency and quality.
Archives: Agenda
Chair’s opening remarks
Chair’s opening remarks
Chair’s opening remarks
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Reaching underrepresented patients for trials in the current climate
- Why inclusive research is a business and clinical imperative
- How to continue the work in the current climate
- Increasing focus on US enrollment
- Five principles of data driven inclusive research
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Patient advocacy and incorporating patient perspectives early on in a small biotech
- Developing relationships with advocacy groups and patient communities from early stages
- How does patient advocacy differ at biotechs vs large pharma?
- Integrating patient insights into your study to ensure patients remain the priority throughout your trial
Managing Drug Development: A Biotech Company Perspective
- Engaging right CROs/CDMOs
- GXP compliance
- Budget, timeline, and conflicts
Making AI approachable
- Move past the hype: Treat AI as a strategic enabler, not a technical hurdle.
- Conversing with data: Use AI to interact with insights rather than just manage information.
- Practical toolkit: Combine everyday assistants with specialized models for rapid document synthesis and cross-referencing.
- Incremental adoption: Integrate AI capabilities gradually without overwhelming learning requirements.
- Outcome: Empower teams to enhance expertise and decision-making with AI.