20. When one-size-fits-all medicine hurts women
In this episode of The Digital Twin Theory, we discuss sex differences in healthcare and how in silico medicine can help create truly personalised, gender-aware medicine
In this episode of The Digital Twin Theory, Blanca Rodríguez (University of Oxford) explores sex differences in healthcare and the impact of bias in research and treatment. She explains how digital twins, AI, and computational models can enable sex-aware, personalised medicine, reshaping diagnosis, therapies, and the concept of the “average patient”.
Related media
Episode 10- With great power comes great responsibility
In silico medicine is reshaping healthcare through computer models, but trust and equity are key. Collaboration among scientists, clinicians, patients, and policymakers ensures this digital future serves everyone.
Discover more
Episode 9: Beating childhood cancer with in silico medicine
Childhood cancer remains a global challenge. In the 9th Code and Cure video, we explore how in silico models simulate tumour responses to chemotherapy, helping doctors tailor safer, more effective treatments.
Discover more
Episode 8: Digital hearts – The future of cardiovascular medicine
Heart disease is the leading cause of death worldwide. In silico medicine lets clinicians virtually test pacemakers and occluders, optimising device choice and enhancing surgical precision.
Discover more