Dr. Gao obtained her Ph.D degree in Chemistry from institute of chemistry, Chinese Academy of Science. His Ph.D research focused on multiscale modeling of morphology and properties of polymeric materials, polymer processing and unveiling the process–properties relationships. (atomic to coarse...
Filter results
Category
- (-) Data Analytics & Machine Learning (6)
- (-) Ecosystem Science (2)
- Scientific Discovery (78)
- Biology (55)
- Earth System Science (26)
- Human Health (22)
- Integrative Omics (20)
- Microbiome Science (18)
- Computational Research (12)
- Chemistry (8)
- National Security (7)
- Computing & Analytics (5)
- Computational Mathematics & Statistics (3)
- Energy Resiliency (3)
- Chemical & Biological Signatures Science (2)
- Materials Science (2)
- Renewable Energy (2)
- Weapons of Mass Effect (2)
- Coastal Science (1)
- Data Analytics & Machine Learning (1)
- Energy Efficiency (1)
- Energy Storage (1)
- Plant Science (1)
- Solar Energy (1)
Content type
The Human Islet Research Network (HIRN) is a large consortia with many research projects focused on understanding how beta cells are lost in type 1 diabetics (T1D) with a goal of finding how to protect against or replace the loss of functional beta cells. The consortia has multiple branches of...
Datasets
0
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...
Datasets
1
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...
Datasets
1
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...
Datasets
3
Predictive Phenomics is addressing the grand challenge of understanding and predicting phenotype by identifying the molecular basis of function and enable function-driven design and control of biological systems .
Category
Datasets
0
Category
The IONTOF TOF.SIMS 5 data source is a time-of-flight secondary ion mass spectrometer and powerful surface analysis tool used to investigate scientific questions in biological, environmental, and energy research. Among the most sensitive of surface analysis tools, it uses a high-vacuum technique...