DR-401 IMPACT-HPB: Integrative Machine learning for Predictive Assessment and Customized Treatment in Hepato-Pancreato-Biliary Cancers

Hepato-pancreato-biliary (HPB) cancers pose a significant oncological challenge with high mortality rates. Despite diagnostic and therapeutic advancements, prognosis remains poor, often with limited treatment options at advanced stages. We propose leveraging artificial intelligence to amalgamate diverse data, including genetics, for personalized treatment. Our experienced cancer genomics team aims to develop models integrating these different data to predict patient outcomes. Ongoing validation studies will refine treatment accuracy. Ultimately, our goal is tailored treatment for individual patients, particularly in HPB cancers, with potential global impact on cancer care.

Steven Gallinger, Ontario Institute for Cancer Research, Canada