Current Work

Current C-MEASURE projects are listed below. Questions regarding these projects or the role of C-MEASURE in these projects should be sent to our director at james.houston@mtsu.edu.

Nursing Faculty Onboarding

Project description: In an effort to improve student satisfaction, this project involves introducing a new orientation checklist for new nursing students and their advisors.

Funding source: Private pay

Funding status: Paid

C-MEASURE role: Statistical analysis, analysis write-up, analysis presentation support

Transforming Alzheimers Detection and Care with Advanced Machine Learning

Project description: This project aims to develop a deep learning-based framework for early-stage detection and survival analysis of Alzheimer’s disease (AD), which affects an estimated 55 million people globally. This initiative focuses on exploring the power of deep learning to analyze complex datasets, including neuroimaging, genetic, and clinical information, aiming to uncover biomarkers and predictive patterns of AD progression. Current research on MRI classification often overlooks interslice dependencies, limiting classification performance. Our project aims to fill this gap by developing innovative techniques to model these dependencies accurately, thereby enhancing diagnostic accuracy.

Funding agency: National Science Foundation

Funding status: In preparation

C-MEASURE role: Content expertise, research methods support