Our Work

SHINE

The SHINE program unites nursing and engineering PhD trainees to co-create practical, research-driven solutions that improve patient care, device usability, and healthcare delivery.

Research Intiatives

Our research initiatives provide data to resolve healthcare challenges for better patient outcomes.

Pilot Projects

The Elaine Marieb Center for Nursing and Engineering Innovation Pilot Projects support UMass faculty teams that use interdisciplinary nurse-engineer research to discover and fill gaps in effective healthcare products and processes.  

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How Far for Fresh Food? Mapping Food Affordability & Accessibility in Massachusetts - Joint Funded with Institute of Diversity Sciences (IDS)
IDS
How Far for Fresh Food? Mapping Food Affordability & Accessibility in Massachusetts - Joint Funded with Institute of Diversity Sciences (IDS)

This project, jointly funded with the Institute of Diversity Sciences, explores food access and affordability across Massachusetts. A multidisciplinary team is creating a geospatial model that combines food pricing, transit routes, and income data to reveal where healthy food is realistically accessible. By adding community interviews to the data, the project highlights hidden barriers and aims to inform smarter policies in transit, urban planning, and food assistance.

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Early Detection of Alzheimer’s Disease and Related Dementias Using AI-Based Facial and Motion Image Processing
Alzhimeir's Background
Early Detection of Alzheimer’s Disease and Related Dementias Using AI-Based Facial and Motion Image Processing

This interdisciplinary team is developing accessible and cost-effective AI-driven tools for the early detection of ADRD—a group of progressive, underdiagnosed neurodegenerative conditions.

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Improving Workforce Planning and Patient Safety—Addressing Unpredictable Factors to Support Nurse Well-Being
Nursing Background
Improving Workforce Planning and Patient Safety—Addressing Unpredictable Factors to Support Nurse Well-Being

This project uses wearable sensors and real-time data analytics to study nurse stressors in dynamic hospital environments.