Morris K. Udall Center at the University of Rochester (UR-Udall Center)

罗彻斯特大学莫里斯·尤德尔中心（UR-尤德尔中心）

• 批准号: 9792279
• 负责人: Earl Ray Dorsey
• 金额: $ 182.52万
• 依托单位: UNIVERSITY OF ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9792279
• 关键词: Address; Affect; Biometry; Caring; Cellular Phone; Clinical; Clinical Research; Clinical Trials; Cohort Studies; Communities; Computational Science; Computers; Development; Disease; Disease Progression; Disease model; Evaluation; Generations; Goals; Grant; Individual; Infrastructure; Institution; LRRK2 gene; Mathematics; Measures; Motor; National Institute of Neurological Disorders and Stroke; Natural History; Parkinson Disease; Participant; Persons; Radio Waves; Recommendation; Research; Research Personnel; Research Project Grants; Resources; Scientist; Signal Transduction; Symptoms; Talents; Technology; Therapeutic; Training; Training Programs; Universities; Visit; clinical predictors; cohort; computer science; digital; models and simulation; multidisciplinary; novel; novel strategies; novel therapeutics; pandemic disease; portability; predictive modeling; research and development; research study; sensor; simulation; success; therapeutic development; tool; virtual; wearable device

SUMMARY The number of people affected by Parkinson disease (PD) has doubled over the past 25 years and is projected to double again in the next 25. Current approaches to addressing this “pandemic” are inadequate. Trials are not informed by disease and simulation models. Participation in research is burdensome and is limited to individuals who live near research centers. Traditional PD measures are subjective, episodic, and insensitive resulting in large, long, expensive trials that generate false signals of efficacy, both positive and negative. A Udall Center at the University of Rochester (UR-Udall Center) will address these barriers and feature the following: 1. An Administrative Core that supports national research studies, reaches hundreds of thousands, and trains the first generation of PD investigators spanning clinical research and computational science 2. An Advanced Analytics Research Core that combines biostatistical and computer science expertise 3. A Clinical Core that will conduct both virtual and in-person PD assessments nationally and locally 4. Four research projects that will address nine NINDS PD 2014 recommendations. These projects will: a. Develop predictive disease models and clinical trial simulation tools for the PD research community b. Conduct the first U.S. virtual natural history cohort study of LRRK2 carriers c. Advance a second-generation smartphone research application (mPower) and calculate a novel mobile Parkinson disease score that quantifies PD symptoms from participants anywhere, anytime d. Develop passive sensors, including wearable sensors, video analytics, and radio waves, to measure the motor and non-motor features of PD in real-world settings The UR-Udall Center will develop, evaluate, and disseminate novel tools and technologies to accelerate PD research with an audacious goal of enabling anyone anywhere to participate in research, to benefit from the resulting therapeutic advances, and to receive care.

概括 过去 25 年来，受帕金森病 (PD) 影响的人数增加了一倍，预计 未来 25 年将再次翻倍。目前应对这一“流行病”的方法还不够。 不了解疾病和模拟模型，参与研究是繁重的并且仅限于。 居住在研究中心附近的个人的传统 PD 测量是主观的、偶发性的且不敏感的。 导致大规模、长期、昂贵的试验产生错误的疗效信号，无论是积极的还是消极的。 罗切斯特大学的尤德尔中心（UR-尤德尔中心）将解决这些障碍，并以 下列的： 1. 支持国家研究、覆盖数十万人并培训的行政核心 第一代跨越临床研究和计算科学的 PD 研究人员 2. 结合生物统计和计算机科学专业知识的高级分析研究核心 3. 临床核心将在全国和地方进行虚拟和现场PD评估 4. 将解决 2014 年 NINDS PD 九项建议的四个研究项目 这些项目将： a. 为 PD 研究界开发预测疾病模型和临床试验模拟工具 b. 开展美国首个 LRRK2 携带者虚拟自然历史队列研究 c. 推进第二代智能手机研究应用程序（mPower）并计算新型手机 帕金森病评分可随时随地量化参与者的帕金森病症状 d. 开发无源传感器，包括可穿戴传感器、视频分析和无线电波，以进行测量 现实环境中 PD 的电机和非电机特征 UR-Udall 中心将开发、评估和传播新颖的工具和技术以加速 PD 研究的大胆目标是让任何地方的任何人都可以参与研究，并从中受益 由此产生的治疗进展，并接受护理。