85% of trials do not meet study endpoints, often due to outcomes based on outdated literature that impacts the power and sample size of studies. As oncology clinical trials are restarted and redesigned, the need for accurate insights into outcomes and patient availability has become all the more critical.

This mini-webinar will explore how innovative and advanced data and AI technologies can inform patient cohort sizes and statistical power considerations. This webinar will feature our recently launched Digital Trial Optimization SaaS solution, which uses powerful oncology real-world data combined with AI-enabled technologies. This is part of our series of short webinar practicums that illustrate how real-world data and technology solutions in oncology can support novel study designs.

Oncology Clinical Study Optimization: Outcomes Analyses for Accurately Powering Trials

Feb 23, 202110:00am EST20 minutes

What you will learn:

  • Using RWE outcomes power analyses to inform sample size and statistical power
  • Rapid iteration of alternative study designs
  • Cross study feature tradeoffs and optimizations
  • Understanding how sample size affects tradeoffs in site identification and patient recruitment
  • How AI and ML drive real-time optimizations and analyses to improve study design

Who should attend:

  • Clinical researchers focused on oncology RWD and clinical trial design and feasibility

  • Clinical trial feasibility analysts looking to expand traditional site footprints and increase patient diversity in oncology trials

  • R&D leaders looking for advanced RWE methodologies and technologies

  • RWE Center of Excellence leaders focused on driving enterprise efficiencies at scale

About the Speaker

Jamie Powers, DrPH, has over 15 years experience at the intersection of real-world data, predictive analytics, and technology solutions for clinical trials. He has worked as a data scientist and consultant in life sciences. In his previous roles with Cambridge Semantics, PerkinElmer, SAS, and IQVIA, Jamie brought data science, AI and machine learning, and SaaS technologies to improve outcomes. At ConcertAI, Jamie brings his comprehensive technical and strategic acumen to also improve outcome and drive innovation for customers. His passion for innovation in data science and oncology research helps him deliver valuable data and technology insights. Jamie has a DrPH in biostatistics and epidemiology from the University of North Carolina at Chapel Hill.