Alzheimer’s disease and related dementias (ADRD) is a growing epidemic. Early detection of symptomatic states and continuous monitoring are regarded as effective measures to minimize the impact of the disease as various forms of intervention can provide opportunities for treatment, compensation and coping.
In this NIH-funded project, we propose to advance new computational approaches and analytics to identify digital biomarkers for ADRD detection, prediction and monitoring outside the clinic. This technology-driven approach is based on sensor data passively acquired from commodity smartphones and wearables, and provides the foundation for a novel embedded assessment of cognitive status through continuous monitoring. The team consists of faculty in Electrical and Computer Engineering, the Dell Medical School, and Speech, Language, and Hearing Sciences.
For this paid-position, we are looking for an undergraduate research assistant to coordinate and manage recruitment and user studies for this project.
Required skills: great "people" skills - strong communication in writing and speaking, basic working knowledge of Excel, Word, and Microsoft Powerpoint, comfortable operating smartphones and wearables (e.g., smartwatches).
Desired skills: (not necessary but nice to have): Prior experience with health-related human subject experiments and community-based research, prior experience working with older adults in research.
We are entering the 2nd year of this 4-year project.
- Helping recruit participants
- Answering questions about the study
- Scheduling and on-boarding participants
- Administering cognitive assessments and surveys
- Data collection (e.g., with REDCap software)
- Configuring devices for deployment
- Managing follow-up visits
- Compiling and organizing study data
- Assisting participants with technical issues
