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About This Webinar

The FDA’s Project Optimus is transforming how oncology drug developers approach dose selection — shifting the focus from identifying the Maximum Tolerated Dose (MTD) to optimizing for both efficacy and patient safety. This new paradigm directly impacts how sponsors design, analyze, and justify their dose-finding strategies to regulators.

With the 2024 FDA Guidance on Optimizing Dosage in Oncology, the expectations are clear: more robust dose–response evaluations, smarter trial designs, and data-driven simulations are no longer optional — they’re essential for regulatory and clinical success.

Join us to learn how innovative designs and strategies, and AI-enabled simulations can help you stay ahead of evolving FDA expectations, accelerate development timelines, make more confident dose-selection decisions, and ultimately improve chances of program success.

Agenda
  • What Project Optimus means for oncology sponsors and upcoming submissions
  • Smarter study designs and simulation strategies aligned with FDA guidance
  • How AI can transform dose-finding and decision-making efficiency
When: Wednesday, November 12, 2025 · 11:00 a.m. · Eastern Time (US & Canada)
Duration: 1 hour
Language: English
Who can attend? Everyone
Dial-in available? (listen only): No
Featured Presenters
Webinar hosting presenter
Chief Scientific Officer, Bioforum The Data Masters
Zoran held executive positions in Pharmaceutical Companies and CROs and designed well over 100 clinical trials in numerous therapeutic areas, many of which included innovative designs. Zoran was a long-time Chair and leader of the DIA Innovative Design Scientific Working Group. He has authored numerous papers, scientific presentations, courses and trainings, and was editor of books “Optimization of Pharmaceutical R&D Programs and Portfolios” and, together with Bob Beckman, “Platform Trials in Drug Development”.
Webinar hosting presenter
Senior Director of Data Science and Statistics, PhaseV
Brad Carlin, PhD is Senior Director of Data Science and Statistics at PhaseV, a clinical trials technology and consulting firm. Previously, he served as Senior Advisor for Data Science and Statistics at PharmaLex, and also spent 27 years on the faculty of the University of Minnesota School of Public Health, including seven years as Division Head of Biostatistics. Dr. Carlin has published over 195 papers and co-authored three leading textbooks in Bayesian methods. A former editor-in-chief of Bayesian Analysis, he has also held visiting positions at institutions including Carnegie Mellon University, Cambridge University, and the M.D. Anderson Cancer Center. An award-winning teacher and mentor, Dr. Carlin is also an avid musician and bandleader in his spare time.