Comparing T1D pathogenesis using untargeted metabolomic analysis

Designing dendritic cell behavior modifiers using antigen-loaded nanoparticles to prevent and reverse T1D

Addressing islet transplantation complications with novel immunomodulatory biomaterials 

Investigating pancreatic islet microenvironments in human donor tissue 

Applying pancreatic characteristics to T1D histopathology

Forestalling T1D by using genetics to identify high-risk children to receive preventative oral insulin

Investigating the role of pancreatic islets in beta cell dysfunction & autoimmunity in T1D

Measuring the effect of basal insulin therapy through continuous glucose monitoring in primary care

Designing materials to manipulate the role of macrophages in mediating T1D 

Creating educational tools and mobile apps to facilitate the management of pediatric T1D 

Incorporating nanomaterials in the design of T1D immunotherapies

Examination of CD70’s role in T1D pathogenesis

Manipulating gut bacteria to prime diabetogenic T cells

Centering the psychology of T1D patients and families to understand & predict their usage of novel management and treatment tools

Translating findings from large-scale longitudinal T1D studies into pediatric care 

Evaluating the role of cell metabolism and gut dysbiosis in autoimmune diseases

Examining the American Indian experience of T1D

Exploring the role of reactive oxygen species in T1D pathogenesis

Fine-tuning T1D diagnoses with machine learning and genetic analysis

Determining how pancreatic characteristics impact the likelihood of developing T1D 

Measuring metabolic flux with isotope tracers and performing NMR and GC-MS metabolomics to assess metabolic homeostasis

Incorporating machine learning algorithms and digital pathology techniques in the study of T1D

Evaluating the impact of insulin-like growth factors and autoantibody titers on T1D pathogenesis

Adapting clinical Natural Language Processing to provide early detection of diabetic retinopathy

Analyzing genetic ancestry and sibships to identify rare variants at play in T1D

Modeling T1D pathogenesis using isogenic cellular systems

Imaging disease progression with 3D in vitro systems