Incorporating the Patient Voice for Inclusive Medical Communications

The rapid evolvement of precision oncology requires real-world data generated at a scale that unlocks insights that can not be provided from clinical trial evidence. Machine learning and large language models can be used to quickly identify information, supporting custom integrated real-world evidence solutions to make informed decisions.

Explore the pivotal role of Next-Generation Sequencing (NGS) panel customization in driving advancements in oncology research.

This piece offers a practical assessment of leveraging various decentralized methodologies and technologies.

Delve into the impact of external stakeholder requirements in developing an integrated evidence generation strategy that maximizes product value.

Learn how strategic planning and patient-centric design of real-world studies drive value critical to stakeholder acceptance.

Rare disease clinical research is complex. By shifting perspective and focusing on the patient experience throughout clinical trials, trial sponsors can learn about the unique barriers faced by patients and their loved ones, improve participation rates, and optimize the impact and outcomes of such studies.