Biomarkers.

Background: Use of remote measurement of physiological parameters using digital biometrics (i.e., Electro Dermal Activities, heart rate, oxygen saturation, blood volume pulse, etc.

Developing Topics.

Background: Sensory-based interventions are increasingly utilized in dementia care; however, evidence of effectiveness remains mixed. Assessment of sensory processing in persons with neurological impairment prior to intervention provides avenues to tailor sensory-based intervention allowing for person-centered care and potential for greater effectiveness. While such assessments are commonly used in pediatrics, there is limited evidence exploring application in Alzheimer's disease and related dementias (ADRD).

Developing Topics.

Background: Shortcomings in primary and specialty healthcare access in rural communities create substantial health disparities among older adults, especially in areas of modifiable risk factors for Alzheimer's disease and related dementias (ADRD). Telehealth stations in community centers increase healthcare access to patients thereby improving modifiable risk factors for ADRD. The objective of this project was to assess facilitators, barriers, and opportunities of telehealth use for older adults within rural community centers.

Drug Development.

Introduction: The United States is undergoing a demographic shift with increasing proportions of older adults. Currently, one in three older adults pass away with a form of Alzheimer's disease or related dementias (ADRD). This figure is higher in underrepresented and underserved groups including older adults in rural Appalachian communities.

Performance on Activities of Daily Living and User Experience When Using Artificial Intelligence by Individuals With Vision Impairment.

Purpose: This study assessed objective performance, usability, and acceptance of artificial intelligence (AI) by people with vision impairment. The goal was to provide evidence-based data to enhance technology selection for people with vision loss (PVL) based on their loss and needs.

Methods: Using a cross-sectional, counterbalanced, cross-over study involving 25 PVL, we compared performance using two smart glasses (OrCam and Envision Glasses) and two AI apps (Seeing AI and Google Lookout).