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Optimizing parallel computation

By | Case Studies

In computational physics and chemistry, there is often a need to perform linear algebra operations with large matrices. As researchers move to more realistic models, the size of the model grows, and so does the size of the matrices, slowing the computations down.

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Path modeling of chronic kidney disease

Path modeling

By | Case Studies

Diabetes, hypertension, and chronic kidney disease (CKD) commonly co-occur within individuals. A team of University of Michigan and external researchers including CSCAR consultant Brady West recently demonstrated that periodontal disease may also play an important role in this comorbid system.

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Analysis of neuroimaging data

Analysis of neuroimaging data

By | Case Studies

Magnetoencephalography (MEG) is a form of neuroimaging that can be used to assess activity in various brain regions. Working with researchers from the University of Michigan Department of Psychiatry, CSCAR consultant Dave Childers used spectral coherence analysis to examine connections between pairs of brain regions.

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