View clinical trials related to Alzheimer Disease.
Filter by:The objective of this study is to determine if comprehensive lifestyle changes may slow, stop, or reverse the progression of early-stage Alzheimer's disease.
How do varying levels of participation in selecting self-management interventions (ranging from no input into the selection to selection based on need or preference) affect health risks and physical and mental health over time in family caregivers of persons with Alzheimer's and other dementia disorders? Caregivers will be randomized to 1) information on diversional activities (attention control); 2) self-management intervention based on need (SM-need); or 3) self-management intervention of their preference (SM-preference).
A phase 2 randomized, double blind, placebo controlled study evaluating the efficacy and safety of AL002 in participants with Early Alzheimer's Disease.
The Digital Cognitive Multi-domain Alzheimer's Risk Velocity (DC MARVEL) study is a 2-year randomized controlled trial on dementia prevention. The purpose of this study is to determine the effect of a digital cognitive health program on dementia risk, cognitive function, and general health outcomes in middle age to older adults compared to a control group that receives health education.
The objective of the study is to evaluate the ability of (-)-L-2',3'-dideoxy-3'-thiacytidine (3TC) to engage its intended target, penetrate the central nervous system (CNS), suppress neurodegeneration, and assess safety and tolerability in patients with early stage Alzheimer's disease. This study will provide the initial data on target engagement and Alzheimer's disease-relevant outcomes for future trials.
The purpose of this project is to develop a monitoring, modeling, and interactive recommendation solution (for caregivers) for in-home dementia patient care that focuses on caregiver-patient relationships. This includes monitoring for mood and stress and analyzing the significance of monitoring those attributes to dementia patient care and subsequent behavior dynamics between the patient and caregiver. In addition, novel and adaptive behavioral suggestions at the right moments aims at helping improve familial interactions related to caregiving, which over time should ameliorate the stressful effects of the patient's illness and reduce strain on caregivers. The technical solution consists of a core set of statistical learning based techniques for automated generation of specialized modules required by in-home dementia patient care. There are three main technical components in the solution. The first obtains textual content and prosody from voice and uses advanced machine learning techniques to create classification models. This approach not only monitors patients' behavior, but also caregivers', and infers the underlying dynamics of their interactions, such as changes in mood and stress. The second is the automated creation of classifiers and inference modules tailored to the particular patients and dementia conditions (such as different stages of dementia). The third is an adaptive recommendation system that closes the loop of an in-home behavior monitoring system.
The proposed study is to evaluate initial efficacy and safety of the BBB disruption with transcranial MRI-guided focused ultrasound (ExAblate 4000 type 2.0) in patients with Alzheimer's disease. This study iw designed as a prospective, single-site, single-aarm, nonrandomized study. Assessments will be made before and three months after 2 sessions of BBB disruption with radiologic, nuclear medicine imaging and neurophysiological examinations. Relative safety will be evaluated using a common description of Significant Clinical Complications for patients treated in this study.
There is a compelling need for a noninvasive imaging approach to measure S1P1 in both preclinical models of diseases and humans. PET measures of S1P1 expression is critical for elucidating the pathophysiological roles of S1P1 in neuroinflammation and neurodegeneration. The relevance of S1P1 in clinical disease has become readily apparent with the FDA approval of the S1P1 modulator FTY720 (fingolimod) for treating relapsing-remitting MS (RR-MS). MS is a chronic autoimmune, inflammatory disease caused by lymphocytic infiltration that leads to demyelinating neurodegenerative disease.
There are an increasing number of people in the U.S. with Alzheimer's disease and other dementias. Traumatic brain injuries (TBIs) are also common among both civilians and military personnel, and TBIs increase a person's risk for dementia. Providing care for a person with dementia is stressful. Dementia caregivers can experience difficulties including stress, depression, and reduced quality of life. Coordinated dementia care is known to benefit people with dementia and their caregivers. However, many caregivers do not have access to these supportive programs. Our project studies the benefits of telehealth as a new way for caregivers to receive coordinated dementia care services. We will offer 75 caregivers a 12-month caregiver support program delivered using telehealth (for example phones, tablets, computers). Caregivers of both Alzheimer's disease and TBI-related dementia will be included, and the program will be evaluated for effectiveness in both groups as well as in a control group. The information from our study will help improve quality of life for caregivers and individuals with dementia, including military members and Veterans. Our results will also help both civilian and military health professionals develop effective programs to support families living with dementia. Policy makers and organizational leaders can use the information to fund programs that best help families and communities facing dementia and TBI dementia.
This study is designed to evaluate safety and efficacy of fosgonimeton (ATH-1017) in the treatment of mild to moderate Alzheimer's disease with a randomized treatment duration of 26-weeks.