2024 Rome, Italy

B-16 Antari Khot
Do tree-based machine learning methods outperform Cox regression for progression-free survival prediction in mobocertinib treated lung cancer patients?
Wednesday 14:50-15:10
C-09 Iñaki F. Trocóniz
Modeling the dynamics of anti-drug antibodies in cancer patients treated with oncolytic virus in monotherapy or in combination with immune check- point inhibitors
Thursday 11:45-12:05
C-15 Yomna Nassar
A joint tumour dynamics and C-reactive protein turnover model to identify early longitudinal prognostic predictors of overall survival in advanced non-small cell lung cancer patients
Thursday 14:40-15:00
C-16 Anna Kondic
The combined use of propensity score matching and a joint tumor growth dynamics (TGD) - Overall Survival (OS) model to benchmark the efficacy of new treatments for advanced renal cell carcinoma (RCC)
Thursday 15:00-15:20
D-04 Robin Michelet
Development and Application of a Minimal Physiology-based Pharmacokinetics Modelling Framework to Predict Tumor Penetration and Receptor Occupancy.
Friday 9:55-10:15