BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Prof. Dr. Nick Cogan (Department of Mathematics Florida State Uni versity USA) DTSTART:20261007T140000Z DTEND:20261007T150000Z DTSTAMP:20261004T233531Z UID:AMIS/15 DESCRIPTION:Title: Br idging Mathematical Modeling and Experimental Data to Optimize Cancer Ther apy\nby Prof. Dr. Nick Cogan (Department of Mathematics Florida State University USA) as part of Asymptotic Methods in Statistics\n\nInteractiv e livestream: https://knu-ua.zoom.us/j/89643295643?pwd=eTBZZSt0d0thZzFyaUh DUFNGTVE3QT09 Passcode (if necessary) 785163\n\nAbstract\nOptimizing canc er treatment will increasingly rely on close coupling between experimental research and mathematical modeling. A central obstacle in oncology is our incomplete understanding of how therapies reshape the tumor microenvironm ent and how immune activity drives tumor regression. This gap is especiall y acute in aggressive cancers such as triple-negative breast cancer (TNBC) \, which lacks standard biomarkers and has limited treatment options. Our collaborative work develops a quantitative framework for studying combined immune and chemotherapeutic interventions. Using a novel radiolabeled T-c ell tracking approach\, we follow immunomodulation over time and use these measurements to guide the design of optimal therapy schedules. In this ta lk\, I will present ordinary differential equation (ODE) models of combina tion therapy dynamics and compare model performance with and without T-cel l data. I will also discuss broader directions for this work\, including e xtensions to organ-level analysis and the use of optimal control methods t o refine treatment strategies. By integrating experiment and theory\, we a im to strengthen the predictive power of cancer treatment models and move toward more effective\, personalized therapeutic protocols.\n\nhttp://www. math.fsu.edu/~cogan\n LOCATION:https://researchseminars.org/talk/AMIS/15/ URL:https://knu-ua.zoom.us/j/89643295643?pwd=eTBZZSt0d0thZzFyaUhDUFNGTVE3Q T09 Passcode (if necessary) 785163 END:VEVENT END:VCALENDAR