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
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
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
• ‘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
Considering the full patient burden landscape when planning oncology clinical trials to alleviate patient burden effectively
Recognizing disparities in burden and understanding differences across patient populations
Incorporating patient input when designing protocols to ensure that needs are met
Cultural and behavioral dynamics
Differing incentives and pressures
Communication failures during safety events
Building trust under time pressure
Definition, Importance and Measurement of adherence
Key adherence methods and matrix
Increasing efficiency of adherence through enhancement and implementation
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