AI and ML
Clinical Leader Solutions Expo: eCOA/ePRO
The next level of clinical trial data capture is here. Gone are the days of paper, illegible handwriting, and data quality nightmares. eCOA, or electronic Clinical Outcome Assessments, and ePRO, or electronic Patient-Reported Outcomes, are revolutionizing the way clinical trials generate data. Both leverage digital tools to collect information electronically, offering a treasure trove of benefits. eCOA acts as the umbrella term, encompassing data from various sources like patients (ePRO), clinicians, observers, and even performance-based assessments. This holistic approach paints a more complete picture of a patient's experience. ePRO, as a subset, shines the spotlight directly on the patient's voice, capturing their symptoms, quality of life, and other critical self-reported measures.
Hear from industry leaders at this unique virtual event showcasing the eCOA/ePRO solutions of partners who are ready to help you with your clinical trial data capture needs. Early registration is open via the form to your right.
Trends, insights, and news from SCOPE 2024
With over 3,300 attendees across 850 companies, the 16th annual Summit for Clinical Operations Executives (SCOPE) was a huge success. As previous years have shown, what’s big at SCOPE tends to be big for our industry. Thus, we’re summarizing some key takeaways from this year’s conference to understand where the industry may be headed next.
Amplifying Evidence with Unified Clinical Trial Data Collection
Join us for a discussion about how combining a unified clinical trial data collection platform with intelligent automation can revolutionize drug development and why the current status quo is no longer sufficient. With novel capabilities, the industry can now explore new possibilities, such as incorporating additional sensors to identify surrogate or alternative endpoints, rethinking adaptive trial designs, and quickly responding to emerging data.
How AI and ML can transform clinical trial conduct
There’s little doubt that 2023 will be remembered as the breakout year for generative artificial intelligence (AI) and machine learning (ML) within both tech and pharma. Much like the surge in digital and decentralized trials in 2020, AI and ML have sparked a paradigm shift in what is possible in the development of drugs and treatments.
With the FDA’s recent publications providing a future framework, sponsors and CROs everywhere are researching how best to bolster drug development. With all these advancements happening at an unprecedented pace, we’re providing an overview of the uses of AI and ML in clinical conduct below.