Applied Adaptive Design Using Subgroup Identification & Machine Learning


Tuesday, October 25, 2022 at 11am EDT|8am PDT|4pm BST|5pm CEST A case study example of study design using the latest tools and methodologies. Learn how you can complete your study potentially quicker and with fewer subjects while increasing probability of trial success.

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Event Overview:
Applied case study example of study design using the latest tools and methodologies

  • Phase-3 oncology design as a case study
  • Latest AI/ML tools to leverage Phase-2 study data to set patient inclusion/exclusion criterion for broadest possible label as well as increase probability of study success. This also potentially reduces cost and time to run trial
  • Use of latest adaptive trial design innovations to reduce trial cost, risk, and time
  • Adaptive accrual to incorporate actual response and hazard rates for efficient trial execution without sacrificing power
  • Case study wrap-up from clinician’s perspective with all these efficiencies and optimizations

Three Key Take-aways:

  • What good looks like for trial design
  • How newer methods can reduce the cost of running a trial
  • Evaluate how trials can be run quicker using new methods

Russ Reeve, PhD
VP, Biostatistics

Dr. Reeve is the global head of Biostatistics and Decision Sciences within IQVIA Research & Development Services. This organization has more than 400 professionals providing biostatistical and pharmacological services, including trial design, analysis, and reporting. Biostatistics has offices in all major markets, with offices in North America, Europe, Africa, and Asia. Dr. Reeve has been in the pharmaceutical industry since 1992, and has been at IQVIA since 2007, with increasing levels of responsibility.

Dr. Reeve earned a BS in Mathematics and Statistics from Utah State University, an MS in Operations Research from Rensselaer Polytechnic Institute, and a PhD in Statistics from Virginia Polytechnic Institute and State University. Dr. Reeve has published numerous peer-reviewed papers and book chapters, is a reviewer for major statistical journals, has been on the Advisory Board of George Mason University Statistics Department, and on the Board of Directors of North Carolina State University’s Colleges of Sciences Foundation.

Kal Chaudhuri
Principal, AI/ML Applications & IQVIA Trial Designer

Kal currently leads SOMS & ITD products for IQVIA. His experience is in Artificial Intelligence & Machine Learning (AIML) and new product development and global launch. His specialty is in integrating clinical trial and real-world data sources to discover insights using AIML platforms & algorithms. These methodologies can be used for disease detection and personalized treatment.

Kal brings over 25 years of experience leading technology and business. Kal has worked extensively across technology enabled solutions, services, product life cycle management from organizational & process design, marketing & product management in healthcare and technology services through strategic partnership management & regulatory approval. Kal’s experience prior to IQVIA include leading portfolio transformation for Ricoh, leading health imaging & cancer detection products at Siemens and a variety of other roles.

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