Troubleshooting Challenging Hospital Sites?

  • There are many obstacles to running a successful clinical trial – and hospital sites can be one.
  • Slow to set up, delays to patient recruitment, or poor data quality?
  • TCR-Solutions will share some experience and approaches to troubleshooting these challenges.
  • We cannot treat hospital sites like commercial vendors, and we must find a way to work with hospitals to ensure they deliver on time and target.

PANEL DISCUSSION: Exploring the landscape for oncology clinical trials in the UK

  • New regulations and guidance around running oncology trials in the UK: what do you need to be aware of?
  • Running clinical trials in conjunction with the NHS: how to ensure your trial is a success
  • Developments in UK cancer research: what’s new in 2025?
  • Assessing the impact of political and economic changes on UK oncology trials
  • The role of the cancer drug fund in accelerating oncology clinical trials in the UK

KEYNOTE PANEL: Where is the clinical trial industry headed this year and beyond?

• How do we ensure the UK is an attractive location for clinical research
• Navigating new regulations around clinical trials smoothly and successfully
• The impact of artificial intelligence: how far can we expect to move forward in the next 12 months?
• Patient centricity in clinical trials: how can burden be reduced in order to make trials easier for patients to participate in?
• Technological developments in 2025 and beyond: what changes can we expect to see in the next 3-5 years?

KEYNOTE PRESENTATION: AI in clinical trials: assessing opportunities and challenges in developing an AI strategy

·       How AI and digitalisation can support streamlining of clinical operations and improve efficiency

·       Simple ways to implement tools such as GPT and GenAI in your trial

·       Where can AI be utilized to minimize workloads and increase overall output?

·       The regulatory landscape in the UK for the use of AI in clinical trials: what do you need to know?

·       Key limitations of GenAI and how these impact its potential uses for clinical trials in the UK