AI for Brain and Mental Health

We are facing a growing global mental health crisis. Brain and mental health disorders across the lifespan affect one billion of the world’s population. Dementia is the leading cause of death in England and Wales, and suicide the biggest killer in young people. Having a mental health disorder leads to higher morbidity and mortality, translating to a 10-20 year reduction in life expectancy. Poor brain and mental health costs the world economy an estimated $3.8 trillion per year. 

Predicting brain and mental health disorders  disorders early and intervening optimally have major implications for patient outcomes, including reduced prevalence of disease. Yet, we still lack robust and trusted tools for early prediction; patients are being diagnosed too late, or wrongly. Developing new treatments has been hampered by poor patient stratification; tailoring precision interventions to the right patients has potential to reinvigorate drug discovery and improve the efficacy of psychological therapies. 

To tackle this challenge we have co-created—with of AI experts, neuroscientists, clinicians, software engineers, regulatory and lived-experience experts—a flagship initiative in responsible AI-innovation in brain and mental health at the interface of AI, neuroscience and psychiatry. Our aim is to accelerate discovery and transform clinical translation in brain and mental health disorders  by developing trusted, real-world validated tools, so we can start sooner and treat smarter.