Supports research using human-relevant models to uncover early Type 1 diabetes triggers, identify biomarkers and therapeutic targets, and develop prevention strategies; clinical trials are not allowed.
This grant funds the development of advanced AI tools to integrate diverse datasets and accelerate precision medicine research for understanding, preventing, and treating Type 1 diabetes.
NIDDK plans to fund Diabetes Research Centers (P30) to foster collaboration, mentoring, and innovative research resources for advancing diabetes and metabolic disorder research.
This grant funds innovative research to develop or improve broadly applicable models, materials, and methodologies for studying multiple body systems or diseases relevant to human health, excluding single disease or system studies.
This grant supports continued long-term follow-up of people with type 1 diabetes to study complications, new therapies, and quality of life using advanced technologies and data analysis methods.
NIH funding supports multidisciplinary studies of how innate immune responses and environmental factors contribute to the onset of type 1 diabetes, with the aim of improving risk identification and prevention.