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Project
AI/ML Ready Datasets for Type 1 Diabetes

Machine learning is a core technology that is rapidly advancing within type 1 diabetes (T1D) research. Our Human Islet Research Network (HIRN) grant is studying early cellular response initiating β cell stress in T1D through the generation of heterogenous low- and high-throughput molecular...

Scientific Discovery
Biology
Human Health
Data Analytics & Machine Learning

  1. Datasets

    3
Project
TEDDY AI/ML Ready Datasets and Models

The Environmental Determinants of Diabetes in the Young (TEDDY) study is searching for factors influencing the development of type 1 diabetes (T1D) in children. Research has shown that there are certain genes that correlate to higher risk of developing T1D, but not all children with these genes...

Biology
Human Health
Data Analytics & Machine Learning

  1. Datasets

    1
Project
DAISY AI/ML Ready Datasets and Models

The Diabetes Autoimmunity Study in the Young (DAISY) seeks to find environmental factors that can trigger the development of type 1 diabetes (T1D) in children. DAISY follows children with high-risk of developing T1D based on family history or genetic markers. Genes, diets, infections, and...

Biology
Human Health
Data Analytics & Machine Learning

  1. Datasets

    1
Data Source
High Resolution Microprobe XPS

The Physical Electronics Instruments (PHI) Quantum 2000 X-Ray Photoelectron Spectrometer (XPS) is a unique Micro-Focused Scanning X-Ray system that uses a focused monochromatic aluminum K X-ray beam that can be varied in size from as small as 10 μm in diameter to approximately 200 μm. The beam can...