This research investigates the neurological causes of sleep dysfunction in people with myotonic dystrophy, a common multisystem muscular dystrophy. Using mouse models and brain activity monitoring, the study examines how diseased brains lose the ability to compensate for stress, providing new insights into sleep quality, cognition, and disease progression.

This research uses artificial intelligence to predict the progression of Alzheimer’s disease and cancer using medical imaging data. By analyzing brain scans, tumor scans, and treatment responses, AI models can forecast disease development and treatment outcomes, enabling earlier intervention, more personalized care, and improved quality of life for aging populations.

This research examines whether metformin, a common diabetes drug, can improve social cognition in individuals with multiple sclerosis by promoting remyelination. Since MS damages nerve insulation, affecting brain function, the study explores whether treating co-occurring diabetes can reduce inflammation and symptoms, potentially leading to new regenerative therapies and improved quality of life.

Migraine affects over 10% of people and disproportionately impacts women. This research studies sex differences in brain circuits using mouse models to understand why. By manipulating neural pathways, findings show certain circuits trigger migraine-like sensitivity only in females. Mapping these circuits may enable personalized, more effective migraine treatments.

This research uses advanced brain imaging, long-term clinical monitoring, and sensor data to understand why deep brain stimulation helps Essential Tremor patients—and why it sometimes stops working. By modelling neural pathways and analysing two-year outcomes, the project identifies optimal DBS targets and the main causes of treatment failure, improving long-term patient care.

This research tests a new personalised care model for Parkinson’s called Prime Care, offering rapid access to support and tailored interventions based on each patient’s risk of hospital admission. A two-year clinical trial of 214 participants will determine whether this approach improves wellbeing and reduces costly, harmful hospital stays.