Clinical trials are critical for assessing new treatments in terms of their potential benefits for patients’ health and for their likelihood of financial success if marketed. Yet, the traditional approach focusing on a single primary endpoint may mean lengthy trials that often fail to capture the full spectrum of the treatment effects that are crucial to patient well-being
Technology is having an important positive impact on trials—from accelerating the collection of higher quality data to driving more real-time data monitoring and much more. Yet, despite technology’s abundant benefits, the introduction of disparate point systems into clinical trial settings has resulted in unforeseen burdens on sites.
Precision medicine brings about transformational advances in how we treat and prevent disease. While this development is overwhelmingly positive, especially for patients, it creates unintended challenges. As clinical sciences rapidly progress, the processes and technologies that are used to run trials have not kept pace. As a result, we endanger critical advancements in patient care.
Moments of inspiration, education, and connection experienced at the ACRP 2024 conference in Anaheim, Calif., in May have sparked creativity among many of its attendees, including this burst of playful poetry from the Chair of the Association Board of Trustees.
The potential of personalized medicine presents an opportunity for life sciences to leverage big data to target therapies to specific patients better. With artificial intelligence and machine learning technologies continuing to develop, research and development teams can finally bring this vision of personalized medicine to life, provided that the data they are using are clean, standardized, interpretable, and secure.