Detecting an MCI and Amyloid Digital Neuro Signature(DNS) Using Altoida's Multimodal Digital Biomarkers.

The purpose of this study is to establish multiple points of clinical validity for the Altoida digital biomarker assessment in individuals with a clinical diagnosis of cognitively normal (CN) and Mild Cognitive Impairment (MCI). Participants will use the Altoida app and the de-identified sensor data captured by the device will be used to train specific machine-learning algorithms to recognize early symptoms of cognitive decline, such as MCI or MCI with likelihood of amyloid pathology, as measured by digital biomarkers (T1 - Visit 1). Participants will be invited for an additional visit to evaluate test-retest reliability (T1' - Visit 2). Optionally, an updated variation of the Altoida app will be tested over the course of two additional visits to ensure optimal digital assessment delivery based on best practices in neuropsychological testing, user experience design, and data collection integrity (T2 - Visit 3 and T2' - Visit 4).