Vision

 

 

 

The Georgia State University/Georgia Institute of Technology/Emory University Center for Translational Research in Neuroimaging and Data Science (TReNDS) is focused on developing, applying and sharing advanced analytic approaches and neuroinformatics tools that leverage advanced brain imaging and omics data, with a goal of translating these approaches into biomarkers that can help address relevant areas of brain health and disease. Large scale data sharing and multimodal data fusion techniques are the underpinnings of our approach.

 

 

Core principles of the center include

 

Creation of new approaches and tools

The brain is a highly complex organ and analytic tools are only scratching the surface of this complexity. We draw upon engineering and computer science principles to develop new algorithms to extract the maximal information possible from the available data drawing upon signal and image processing, machine/deep learning and statistical signal processing among others. We also focus on the development of collaborative tools to help make data capture, management, analysis, and sharing easier.

 

From data to knowledge

We use data-driven approaches to inform theory and vice versa

 

No data left unused

We leverage cloud-based solutions to help capture, manage, analyze and share data to ensure we effectively utilize available data to help point us in the right direction for future studies
collaboration: we believe a highly collaborative & interdisciplinary environment is necessary to solve the hard problems we are facing today. We provide workspaces, activities and opportunities to encourage cross-lab and cross-institutional collaboration.

 

Training

Dissemination of knowledge is critical to advancing our understanding of the brain. We provide a number of ways to facilitate knowledge transfer including seminars, hands-on workshops, semester long courses, hackathons and informal project-based groups

 

Application

Rather than create tools that are not used, we desire to leverage the approaches created to solve the hard problems existing today, including developing brain imaging biomarkers that can be used to solve real problems

 

 

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