Investigating the utility of machine learning methods to predict prognosis and guide treatment decisions for people with lung cancer (Lung-ORACLE) artificial intelligence care pathways cancer Innovation and Implementation Science long-term conditions cardiovascular quality improvement decision making
How can we define and identify household overcrowding affecting the wellbeing of families, using publicly available and council-held data? Population health and social care families Local Authority children & young people physical environment social welfare public health
The Nurture Early for Optimal Nutrition (NEON) Programme Local Authority children & young people ethnic minority groups nutrition families co-production Population health and social care maternal health
Developing an enhanced whole-school approach to prevent bullying Population health and social care Schools Local Authority primary care Mental Health children & young people bullying
Understanding the trajectory of frailty across the life course Multimorbidity Health economics and data physical activity older adults
Establishing an evidence base about experiences of young people's ambulatory cancer care Integrated Care Systems children & young people decision making self-management cancer patient-reported outcomes families long-term conditions co-production primary care
Improving NHS orthopaedic care in England: Evaluation of GIRFT Health economics and data Trust implementation surgery
ESORT: Evaluating the effectiveness of emergency surgery for patients with acute conditions Health economics and data Trust acute care surgery
Building a Well Communities Research Consortium to address health disparities through Integrated Care Systems care pathways patient-reported outcomes Health economics and data communication co-production health equity ethnic minority groups research design public involvement integrated care
Acute care of people living with dementia Multimorbidity older adults dementia Integrated Care Systems acute care decision making adults carers