Data Science and Technology
The Marcus Institute is moving aging research forward by harnessing the power of big data.
Unique Expertise in Big Data Research and Clinical Trials Focusing on Older Adults
Contemporary research in aging requires the capture, visualization, analysis, and interpretation of large amounts of highly complex data. Researchers and staff throughout the Marcus Institute collaborate with biostatistics and data sciences faculty to design and conduct clinical trials and observational studies in aging.
This work occurs across a broad array of fields, united by an overarching mission to enhance and preserve the health and independence of older people. Our studies make use of information obtained from sources as disparate as direct research measurement, passive capture via wearable and implantable devices, and large administrative structures that include billing claims and environmental monitoring.
Technical Solutions for Data Analysis in Aging Research
Our research software development and informatics teams specialize in the creation of technical solutions for remote data capture, real-time quality control, data analysis, and dissemination of results. We collaborate with investigators around the nation and the world on novel research projects in:
- Gerontology and geroscience, with application to physical function and frailty
- Cognition and cognitive aging
- Genetics, genomics, and proteomics
- Endocrinology
- Health care delivery and policy
- Other areas relevant to the health of older adults
Our reach and reputation for quality gives us the power to advance aging research through today’s robust technology that connects efforts around the world.
Find current research projects
Showing 20 Results
Targeting Depression and Memory Symptoms with Multi-focal Circuit-based Neuromodulation
This pilot study aims to explore the feasibility and effects of a symptom-specific, brain-circuit-based, home-based neuromodulation therapy for addressing mood and memory symptoms in older adults with major depressive disorder (MDD) in the context of dementia.
Principal Investigator
Understanding and Modulating Cortical Dynamics of Dual-task Standing in Older Adults with Mild Cognitive Impairment
This research aims to determine whether non-invasive brain stimulation improves balance and walking. Biological aging and cognitive decline interact to disrupt the complex control of balance and mobility. Mild Cognitive Impairment (MCI) represents a common prodromal phase of dementia. As compared to older adults who are cognitively-intact, those with MCI tend to exhibit poor “dual-task” standing balance performance; that is, the ability to maintain balance when standing and simultaneously performing an unrelated cognitive task. Moreover, those older adults who have worse dual-task standing balance are more likely to suffer falls and develop dementia. By studying the cortical control of balance in older adults with and without MCI the goal is to translate our discoveries into novel interventions designed to help all older adults preserve their cognitive-motor function into senescence.