Computer models, AI, and the challenge of ovarian cancer

How can computational models and artificial intelligence help us tackle one of the most challenging cancers to study and treat?

In this episode, we had the pleasure of speaking with Dr. Marilisa Cortesi, biomedical engineer and researcher at the University of Bologna, recipient of a prestigious Marie Skłodowska-Curie Global Fellowship and Assistant Professor working at the intersection of cancer research, computational modelling, and experimental science.

Together, we explore:

• The clinical and scientific challenges of ovarian cancer
• The role of computational modelling in cancer research and care
• Bridging the gap between wet lab experiments and in silico approaches
• The promises and limitations of AI in oncology
• The “black box” debate and trustworthy use of AI in healthcare
• Whether digital twins and virtual patients could become a reality in personalised cancer treatment

This conversation offers a fascinating look at how engineering, biology, and medicine are coming together to improve our understanding of cancer and bring more personalised approaches to patient care.