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

总结 受帕金森病（PD）影响的人数在过去25年中翻了一番，预计 在接下来的25年里再翻一番目前对付这一“流行病”的办法是不够的。试验 不受疾病和模拟模型的影响。参与研究是繁重的，仅限于 住在研究中心附近的人。传统的PD测量是主观的、偶发的和不敏感的 从而导致大量的、长期的、昂贵的试验，这些试验产生了错误的功效信号，包括阳性和阴性。 罗切斯特大学的Udall中心（UR-Udall中心）将解决这些障碍， 以下为： 1.一个行政核心，支持国家研究，达到数十万，并培训 第一代PD研究者跨越临床研究和计算科学 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 3.一个临床中心，将在全国和当地进行虚拟和面对面PD评估 4.四个研究项目将解决九个NINDS PD 2014建议。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LRRK 2携带者虚拟自然史队列研究 C.推进第二代智能手机研究应用程序（mPower），计算出一种新颖的移动的 帕金森病评分可随时随地量化参与者的PD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，以测量 PD在现实世界中的运动和非运动特征 UR-Udall中心将开发，评估和传播新的工具和技术，以加速PD 研究的大胆目标是让任何地方的任何人都能参与研究，从研究中受益， 从而取得治疗进展，并接受护理。

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.