Al-Supported In-Home Brain Assessments for Older Adults and Persons with Alzheimer's Disease

Al 支持的针对老年人和阿尔茨海默病患者的家庭大脑评估

• 批准号: 10755044
• 负责人: Niteesh K Choudhry
• 金额: $ 30.64万
• 依托单位: UNIVERSITY OF MASSACHUSETTS AMHERST
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10755044
• 关键词: Aging; Alzheimer' s Disease; Alzheimer' s disease brain; Alzheimer' s disease model; Alzheimer' s disease patient; American; Artificial Intelligence; Assessment tool; Biological Markers; Blood Vessels; Brain; Caregivers; Cause of Death; Cerebrospinal Fluid; Clinic; Clinical; Cognition; Data; Data Collection; Databases; Devices; Early Diagnosis; Elderly; Evaluation; Exanthema Subitum; Future; Health; Home; Hospitals; Individual; Machine Learning; Magnetic Resonance Imaging; Medical; Medical Care Costs; Modeling; Monitor; Patient Recruitments; Patients; Perioperative; Physiologic Monitoring; Physiological; Plasma; Positron-Emission Tomography; Procedures; Research; Rest; Sensitivity and Specificity; Space Flight; Technology; Testing; Vision; accurate diagnosis; brain based; care costs; cerebrovascular; cognitive task; cognitive testing; cost effective; health care model; neural; neurovascular; patient home care; prevent; screening; tau Proteins; transportation access

Project Summary More than 5 million Americans are living with AD—the sixth leading cause of death in the U.S. and the only leading cause of death that cannot be prevented, cured, or substantially slowed. Early and accurate diagnosis can save up to $7.9 trillion in medical and care costs and is therefore a critical need. However, going to the hospital for health evaluations can be onerous for everyone, particularly so for older adults with limited mobility, vision and/or cognition, as well as variable access to transportation and home caregivers. Home-based assessment could be a solution, but existing assessment tools for AD—including PET, MRI, and biomarkers in cerebrospinal fluid or plasma—are cumbersome, expensive, or invasive, making them ill-suited for home use or even regular screening purposes. An easy-to-use, home-based screening test with good sensitivity and specificity for identifying AD would thus be of tremendous value and fill an unmet clinical need. No such technology currently exists. Over the past 15 years, our group has been developing battery-powered wearable neurovascular and physiological monitoring technologies to facilitate applications ranging from seamless perioperative monitoring to brain assessment in spaceflight. These devices have the potential to act as a ‘mobile clinic’ to support brain-based assessments at home, and have been utilized in numerous remote and self-deployed settings. They have not, however, been assessed for their feasibility for use by older adults, AD patients. In this project, we propose to achieve the following specific aims. Aim 1: Generate an adapted version of NINscan so older adults or AD patients can collect high quality brain and physiological data at home. Aim 2: Generate and share a database from home data collections during rest and cognitive tasks in older adults and AD patients recruited from the MassAITC-affiliated MADRC Core. Aim 3: Use transformer- based artificial intelligence (AI) models to (i) identify individuals with suspected AD, (ii) predict cognitive testing scores, and (iii) predict plasma tau levels, all using the neural and vascular biomarkers collected during self- (or caregiver-) deployed recordings at home. The results of this project will help make brain-focused AD-relevant testing easier for both patients and clinicians, and could potentially suggest a more cost-effective and sustainable future health care model for AD.

项目摘要 超过500万美国人与广告生活在一起，这是第六大死亡原因 美国和唯一无法预防，治愈或 大大减慢。早期，准确的诊断可以节省多达7.9万亿美元的医疗 和护理费用，因此是一个急需的需求。但是，去医院去医院 对每个人的评估可能都是繁重的，尤其是对于有限的老年人而言 移动性，视觉和/或认知，以及可变的运输和住宅的访问 照顾者。基于家庭的评估可能是解决方案，但是现有的评估工具 用于AD（包括脑脊液或血浆中的宠物，MRI和生物标志物） 繁琐，昂贵或侵入性，使其不适合家庭使用甚至 定期筛选目的。一个易于使用的，基于家庭的筛查测试， 因此，识别广告的敏感性和特异性将具有巨大的价值并填充 未满足的临床需求。目前没有这样的技术。 在过去的15年中，我们的小组一直在开发电池供电的可穿戴设备 神经血管和物理监测技术，以促进应用 从无缝的周期性监测到太空飞行中的大脑评估。 这些设备有可能充当支持基于大脑的“移动诊所” 在家评估，已在众多遥远和自欺欺人中使用 设置。但是，他们尚未对其使用的可行性进行评估 成人，广告患者。 在这个项目中，我们建议实现以下特定目标。目标1：生成 适用于ninscan的版本，因此老年人或广告患者可以收集高质量的大脑 和家里的物理数据。 AIM 2：从家庭数据生成并共享数据库 从中招募的老年人和广告患者的休息和认知任务期间的收集 与大体相关的MADRC核心。目标3：使用基于变压器的艺术 智能（AI）模型（i）识别可疑AD的人，（ii）预测认知 测试评分，（iii）预测血浆TAU水平，所有这些都使用神经和血管 在自我（或照顾者）部署记录中收集的生物标志物。这 该项目的结果将有助于使以大脑为中心的广告相关测试更加容易 患者和临床医生，有可能提出更具成本效益的 AD的可持续未来医疗保健模型。