In 2023, U.S. healthcare costs for Alzheimer’s disease and related dementias (ADRDs) were $345 billion [1] and are projected to reach $1 trillion by 2050 [2]. Smart technology that assists with detecting and managing cognitive decline represents an important and… Read More »Smart technology’s $1 trillion impact on long-term healthcare costs
In the realm of cognitive health, early detection and continuous monitoring of cognitive decline are crucial for managing and potentially mitigating the progression of conditions such as dementia and Alzheimer’s disease. The n-back task, a well-established cognitive assessment tool, is… Read More »The future of cognitive health monitoring: The N-back task and smart watches
Cognitive health is a critical aspect of overall well-being, but for rural, multicultural older adults, unique challenges such as limited access to education and specialized healthcare can increase the risk of cognitive decline. In a recent study, Life Adapt CRO… Read More »Smartwatches and high school students help detect cognitive risk for rural older adults
In a recent study, Life Adapt CRO Diane Cook in collaboration with researchers at Washington State University offers an innovative exploration of human mobility within indoor environments. This research is significant because, unlike outdoor human mobility, which has been extensively… Read More »Can AI predict indoor human mobility?
Life Adapt Inc. CEO Larry Holder and CRO Diane Cook recently developed an innovative approach to assess cognitive health using wearable sensor data, even in the presence of data gaps. This study is significant in the context of aging populations… Read More »Filling gaps in continuous smartwatch data for cognitive health assessment
Life Adapt Inc. (formerly Adaptelligence LLC) was recently awarded a $2.3M NIH SBIR Phase II grant entitled “Automated Health Assessment through Mobile Sensing & Machine Learning of Daily Activities” to conduct research aimed at refining and validating a novel technology… Read More »Life Adapt awarded $2.3M NIH SBIR Phase II grant to study Automated Health Assessment