As regulatory expectations evolve under the FDA’s Project Optimus oncology dosing initiative, biostatistics is emerging as a central pillar in designing and executing trials that move beyond the traditional maximum tolerated dose (MTD) approach.
In this fourth episode of our Project Optimus series, host Dr. Wael Harb is joined by biostatistics expert X.Q Xue, PhD, Vice President and Global Head, Biostatistics at Syneos Health to explore how statistical science is transforming dose optimization in oncology drug development. Dr. Xue discusses the limitations of legacy 3+3 dose-escalation designs and introduces innovative alternatives, including Bayesian modeling, adaptive trial strategies and randomized parallel dose-response studies, which support more precise dose selection and can ultimately improve patient outcomes and trial efficiency.
Together, Drs. Harb and Xue examine how smaller biotech companies can overcome barriers to implementation, the role of simulation and AI in trial planning and how a biostatistics-driven approach may increase the likelihood of late-phase success, reduce post-marketing adjustments and support faster regulatory approvals.
The views expressed in this podcast belong solely to the speakers and do not represent those of their organization.
If you want access to more future-focused, actionable insights to help biopharmaceutical companies better execute and succeed in a constantly evolving environment, visit the Syneos Health Insights Hub. The perspectives you’ll find there are driven by dynamic research and crafted by subject matter experts focused on real answers to help guide decision-making and investment. You can find it all at insightshub.health.
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