Cravings, Cycles, and Moods: Tracking the link between Diet and Women’s Health with AI and Smartphones

Project Code PHS27Ex Lawrence Project Type Dry lab Research Theme Population Health Science Project Summary Download Summary Are you passionate about womenʼs health and behaviour change? Join our cutting-edge research project examining the relationship between diet, mental health and well-being,…

Advancing Bayesian machine learning methods for precision medicine applications in Type 2 diabetes

Project Code PHS27Ex McKinley Project Type Dry lab Research Theme Population Health Science Project Summary Download Summary It is well-known that the efficacy of treatments for a specific disease or condition can vary across individuals, so that in settings where…

Sequencing babies: understanding penetrance of childhood epilepsy to inform newborn screening

Project Code PHS27Ex Wright Project Type Dry lab Research Theme Population Health Science Project Summary Download Summary Many countries are now planning to sequence the complete DNA of babies at birth to screen for hundreds of genetic conditions. This PhD…

Data-Driven Approaches to Understanding Heterogeneity in Type 1 Diabetes: Towards Better Prediction and Personalised Care

Project Code PHS27Ex Young Project Type Dry lab Research Theme Population Health Science Project Summary Download Summary Over 400,000 people in the UK live with type 1 diabetes. The condition is highly heterogeneous, with substantial variation in age at diagnosis,…