Archives: Agenda
Putting Sites First in Early Oncology: What Integrated Site Networks Are Telling Us
Key Takeaways:
- Understand what oncology site networks are telling sponsors and CROs about enrollment, engagement and retention in early phase trials
- Learn why putting site needs and operational realities at the forefront of trial design improves execution and patient experience
- See how practical, site‑first operational design decisions can accelerate start‑up and improve overall trial performance
Lunch and networking
Delivering Successful Oncology Trials: Why Speed Starts with Strong Design, Feasibility and Site Engagement
As oncology trials grow more complex, speed is increasingly determined by decisions made early — during protocol design, feasibility, and site engagement. This fireside chat explores how closer collaboration between sponsors, CROs, and sites can improve execution, accelerate activation, and sustain trial momentum without sacrificing scientific rigor.
Discussion highlights include:
- Designing operationally realistic oncology protocols
- Gaining meaningful feasibility insight from sites
- Engaging sites as strategic partners
- Reducing downstream friction through early alignment
- Real‑world lessons from U.S. and European oncology trials
FIRESIDE CHAT: Speeding up oncology recruitment timelines by addressing key recruitment barriers and utilizing smarter enrollment
- Ensuring effective communication with patient populations to raise awareness of your trial and increase engagement
- Providing adequate material to ensure patients feel fully informed and supported during enrollment processes
- Driving patient-focused recruitment strategies to reduce study timelines
From Concept to Clinic: Operationalizing the Pharmacy Card Clinical Trial Supply Model
- Understanding the Pharmacy Card Model
- The Program Lifecycle: From Design to Delivery
- A Day in the Life: Sponsor & Sites
- Proof of Performance: Feedback and Case Studies
Building for the Bedside: Practical Considerations in Technology Translation and Clinical Trial Design
- Limitations in translational models, and implementing designs to succeed in trial
- Balancing the risk and reward for patients to attain key endpoints while building the exploratory
- Adaptive trial designs to accommodate changes in treatment paradigms
AI-enabled Drug Discovery and Development: From Bench to Bedside
- • ‘Lab-in-the-loop’ approaches: integrating AI models and experimental platforms for target discovery and precision medicine
• AI enabled precision oncology: biomarkers, patient stratification and clinical trial design