- How are companies currently adhering to the Race and Ethnicity Diversity Plan?
- Optimizing clinical trial efficiency and drug development by adhering to Depict Act
- How to improve enrollment in oncology clinical trials from underrepresented racial and ethnic populations
- Examining barriers preventing patients’ participation in oncology trials
- Empathizing with patients’ experience and how we can reflect to improve patient care
- Discussing how to enhance quality of life for patients and potential solutions to lessen burden of trial participation
- Examining current strategies and challenges in enrollment: how to grow patient numbers for your oncology trial
- Investigating Project Equity and Project ASIATICA, and their implementation in clinical trial recruitment
- Identifying frameworks and designing new ways to enroll patients for oncology trials
- Utilizing tactics to attract enthusiastic sites and PIs
- Mastering the Art of streamlined contract and budget negotiations
- Optimizing vendor selection and oversight
- Implementing best practices for consistent and committed enrollment
- How are oncology trials becoming more complex and in what manner is it impacting drug development?
- Investigating risks and opportunities of changing frameworks of oncology clinical trials
- How are we reporting and managing data and what is needed to efficiently organize large oncology trials?
- Exploring real-world data and evidence collected from patient engagement initiatives to inform development of clinical trials
- Importance of patient care and discussing how patient engagement promotes better clinical trial outcomes
- How digital tools, apps and telemedicine can enhance patient engagement and communications
- Reviewing current communication between patients, sites and trial sponsors: where is there room for improvement?
- Establishing real experience of patients to gain trust within trials
- Investigating how to grow trust with patients from underrepresented communities and include into oncology clinical trials
- Reviewing how to ethically build trust of patients and optimize oncology clinical trials
- Introduction
- VISIONAL™ Overview
- Cloud-based module for tailored feasibility data processing
- Machine-Learning Study Tool
- Models and compares country/site combos in minutes
- Forecasts enrollment, considering costs and success probability
- Efficiency, Power, Results
- Conclusions
