Written evidence from Dr Philip Crilly, associate professor in digital public health and pharmacy practice, Kingston University, London (PMA0004)

Summary:

- Personalised medicine is often discussed in terms of genomics and targeted therapies, but in day-to-day healthcare it also involves tailoring advice about medicines, treatment and prevention to the individual patient. • Generative AI systems such as large language models allow patients to ask detailed questions about their own circumstances and receive responses that relate general health advice to their personal situation.

- These tools may support personalised care by helping patients understand how treatment and prevention advice applies in the context of their lifestyle, priorities and health goals.

- Healthcare professionals remain essential for assessing the evidence behind health advice and ensuring that AI-generated information is interpreted safely.

- Policymakers should consider the role of AI in supporting personalised advice and patient engagement, alongside its use in diagnostics, genomics and drug discovery.