MODSIM conference 2025

Prostate cancer management strategies, ranging from active surveillance to active treatment, present significant challenges in clinical and health economic decision-making. While genomic risk stratification tools can improve the allocation of management strategies, their health and economic impact in Australia requires further evaluation.

Dr Juntao Lyu presented the recent completed research: Genomic risk stratification in optimising intermediate risk prostate cancer management in Australia: Discrete event simulation. This study utilised discrete event simulation to: model heterogeneous patient trajectories at the individual level, simulate different scenarios using genomic risk stratification tools, and demonstrate cost-effective approaches to incorporating genomic risk stratification in Australia.

Dr Hadi Khorshidi also presented: On causal loop diagrams and direct acyclic graphs: Insights in health systems and genomics, further explored the potential of new modeling and simulation techniques in health domain.

Health modelling researchers from RMIT and Sydney University also presented in this session. All presenters engaged in post-session discussions with attendees from Australian and international health research institutes, fostering collaboration and knowledge exchange.

For more information about MODSIM2025, refer to details in: https://www.mssanz.org.au/modsim2025/