Each of us is different. Our genetics and life experiences shape us into unique individuals – with unique brains. When it comes to medicine, therefore, a 'one size fits all' approach is often not adequate, and trial and error is required to find the best treatment for a condition: especially when it comes to the brain. But what if a doctor could rely on personalised recommendations about what course of action may be best for a specific patient? We chat to computational neuroscientist Dr Andrea Luppi from Oxford's Department of Psychiatry about 'digital brain twins', and how - when it comes to brain conditions - they could help to achieve just that.

Put simply, most drugs work by binding to a protein and altering how they function. But how can we model how well a particular molecule will bind to a particular protein, and use that knowledge to help discover new treatments? In this episode, we talk to Prof Fergus Imrie from Oxford's Department of Statistics, who is one of the lead researchers on the OpenBind consortium. This project aims to create the world's largest open-access dataset of protein-ligand interactions, providing invaluable quantities of data for AI-driven drug discovery

In 2022, 7% of the UK's total carbon emissions came from the aviation sector - a figure that's on the rise. This means that - while a flight is often the start of a well-deserved holiday - a lot of us feel at least a sprinkling of guilt over our carbon footprint. So, what if we could reduce the carbon emissions associated with air travel? In this episode, we chat to Dr Tamsin Whitfield from Oxford's Department of Materials Science, and hear about her research developing new metals, which will ultimately allow jet engines to burn hotter, increasing their efficiency.