ITM 2.0: Advancing Translational Science in Metropolitan Chicago

ITM 2.0：推进芝加哥大都市的转化科学

• 批准号: 9928708
• 负责人: Joshua J Jacobs
• 金额: $ 68.54万
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-06 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9928708
• 关键词: Academic Medical Centers; Achievement; Advocate; Alzheimer' s Disease; Artificial Pancreas; Award; Biotechnology; Chicago; Clinic; Clinical; Clinical Research; Clinical Sciences; Collaborations; Communication; Communities; Comorbidity; Conceptions; Data Science; Data Set; Diet; Disease; Diverse Workforce; Down Syndrome; Drug Interactions; Ecosystem; Ethics; Failure; Future; General Hospitals; Genomic Data Commons; Genomics; Goals; Health; Health Personnel; Healthcare; Home environment; Human; Illinois; Individual; Industry; Inflammatory; Informatics; Infrastructure; Institutes; Institution; Intervention; Investments; Joints; Language Development; Lead; Life; Longevity; Lutheran Church; Malignant Neoplasms; Medicare/Medicaid; Methods; Molecular Genetics; Morbidity - disease rate; Outcome; Phase; Prevalence; Process; Provider; Public Health; Published Comment; Records; Registries; Research; Research Personnel; Research Project Grants; Research Training; Resources; Role; Science; Scientist; Social Justice; System; Technology; Testing; Toddler; Training; Translational Research; Trust; Universities; Vision; Work; clinical practice; cognitive development; convict; data sharing; disorder risk; experience; genotyped patients; gut microbiome; health care delivery; improved; innovation; interest; metropolitan; mortality; multidisciplinary; named group; precision medicine; predictive modeling; social; success; synergism; tool; translational medicine; translational pipeline

This project proposes a comprehensive clinical research project about individuals with Down Syndrome using data science approaches and several very large datasets with clinical records, such as IBM Watson Health MarketScan, Medicare, Medicaid, and Swedish National Registries. Specifically this project will conduct exploratory analyses to identify subtypes of people with Down Syndrome and other co-morbidities and the prevalence of these groups in the very large datasets, develop a predictive model of the life trajectories and future health trajectories of people in the different sub-types of Down Syndrome, and validate these predictive models in the smaller, deeper and richer Down Syndrome dataset compiled by Advocate Lutheran General Hospital (with one of the largest Down Syndrome clinics in the US).

该项目提出了一个全面的临床研究项目，该项目涉及使用数据科学方法以及具有临床记录的几个非常大的数据集，例如IBM Watson Health Marketscan，Medicare，Medicaine，Medicaid和Swedish国家注册表。 具体而言，该项目将进行探索性分析，以确定唐氏综合症和其他合并症患者的亚型，以及这些群体在非常大的数据集中的普遍性，开发出一种预测模型的生活轨迹和未来健康轨迹的预测模型，并通过较小的降低综合综合综合综合综合综合体系中的不同亚型中的人群中的人们的未来健康轨迹（美国最大的唐氏综合症诊所之一。