Stanford Aging & Ethnogeriatrics Transdisciplinary Collaborative Center (SAGE)

斯坦福老龄化

• 批准号: 10658924
• 负责人: VYJEYANTHI S PERIYAKOIL
• 金额: $ 10.58万
• 依托单位: STANFORD UNIVERSITY
• 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 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10658924
• 关键词: Aging; American; Behavioral; Behavioral Sciences; Big Data; Biological Sciences; Biology; Businesses; Caring; Centers for Population Health; Collaborations; Country; Data Science; Demography; Economics; Elderly; Elements; Emerging Technologies; Engineering; Environmental Risk Factor; Epidemiology; Ethnic group; Faculty; Funding; Future; Genetic Markers; Goals; Health; Health Sciences; Health Services Accessibility; Health Services Research; Health Technology; Healthcare; Income; Infrastructure; Intervention; Knowledge; Laboratories; Lead; Measurement; Measures; Mentors; Methodology; Minority; Older Population; Patient Care; Performance; Personal Satisfaction; Pilot Projects; Play; Population; Postdoctoral Fellow; Precision Health; Psychiatry; Psychology; Reduce health disparities; Research; Research Methodology; Research Personnel; Research Training; Resources; Role; Schools; Science; Scientist; Sister; Social Sciences; Statistical Methods; Training; Translational Research; Underrepresented Populations; United States National Institutes of Health; base; behavioral/social science; big biomedical data; big-data science; biomedical data science; biopsychosocial; computer science; cultural competence; design; digital health; disorder risk; education research; ethnic minority; experience; health disparity; medical schools; novel; precision medicine; programs; psychosocial; racial and ethnic; racial health disparity; racial minority; ranpirnase; recruit; research to practice; social; social media; socioeconomics; virtual reality intervention; virtual reality simulation

PROJECT SUMMARY—OVERALL COMPONENT: The NIH has long recognized the necessity to aggressively leverage emerging methodologies like precision medicine, digital health, biomedical data science and virtual reality & simulation based interventions approaches to ameliorate health disparities in racial and ethnic minorities. However, relatively fewer efforts have attempted to conduct trans- disciplinary aging research integrating biological, social and behavioral sciences utilizing emerging methodologies. The overarching goal of the proposed Stanford Aging and Ethnogeriatrics Transdisciplinary Collaborative Center (SAGE) is to increase the diversity of the aging research workforce by mentoring new leaders in aging research and promoting advances in behavioral and social sciences aging research using emerging methodologies including precision medicine, digital health, biomedical big data science and virtual reality and simulation based interventions. By identifying, mentoring and supporting (through dedicated pilot funds and methodological and recruitment support) junior investigators from underrepresented groups (SAGE Scientists) we propose to create a culturally sensitive and culturally competent research workforce focused on promoting equity in healthcare and mitigating disparities in diverse older populations using emerging methodologies. We have in place outstanding strengths in the three principal scientific elements requisite to form a coordinated, sustainable, and far-reaching `aging research to practice collaboration' integrating behavioral, social and biological sciences using emerging methodologies: 1) Behavioral and social scientists and disparities researchers, spanning psychology, psychiatry, demography, epidemiology, evolutionary biology, health services research & economics, computer science, social media science, virtual reality/simulation interventions and digital health; 2). Extensive experience with trans-disciplinary translational research that integrates laboratory assessment of genetic markers, their relationships to both disease risk and treatment relevance with psychosocial research approaches; and 3) Novel and outstanding analytic and high-performance `big-data' computing capabilities, consolidated in our Department of Biomedical (`Big Data') Data Science. With Stanford's setting in one of the most racially, ethnically and socially diverse aging populations in the US, and leveraging the seven-school campus-wide “Precision Health” initiative that integrates biomedical data science, engineering, business, design, digital health technology, virtual reality interventions and patient care under the recently endowed Center for Population Health Sciences we feel uniquely situated to make game-changing breakthroughs in aging research using emerging methodologies, and to lead such research efforts nationally.

项目摘要——总体组成： 美国国立卫生研究院 (NIH) 早已认识到积极利用精准医学等新兴方法的必要性， 数字健康、生物医学数据科学以及基于虚拟现实和模拟的干预方法来改善 然而，尝试进行跨种族和少数族裔的健康差异的努力相对较少。 利用新兴方法论整合生物、社会和行为科学的学科衰老研究。 拟议的斯坦福大学老龄化和民族老年学跨学科合作中心（SAGE）的总体目标是 通过指导老龄化研究的新领导者和促进老龄化研究队伍的多样性 使用新兴方法（包括精准医学）进行行为和社会科学老龄化研究的进展， 数字健康、生物医学大数据科学以及基于虚拟现实和模拟的干预措施。 指导和支持（通过专门的试点基金以及方法和招聘支持）初级研究者 来自代表性不足的群体（SAGE 科学家），我们建议创建一个具有文化敏感性和文化能力的团队 研究人员致力于促进医疗保健的公平性并减少不同老年人口中的差异 我们在新兴方法论所必需的三个主要科学要素方面拥有突出的优势。 形成一个协调的、可持续的、影响深远的“老龄化研究实践合作”，整合行为、社会 使用新兴方法的生物科学：1）行为和社会科学家以及差异研究人员， 涵盖心理学、精神病学、人口统计学、流行病学、进化生物学、卫生服务研究和 经济学、计算机科学、社交媒体科学、虚拟现实/模拟干预和数字健康；2)。 在整合遗传实验室评估的跨学科转化研究方面拥有丰富的经验 标记物，它们与疾病风险和治疗相关性与心理社会研究方法的关系；3) 新颖、出色的分析和高性能“大数据”计算能力，在我们部门得到整合 斯坦福大学是生物医学（“大数据”）数据科学领域最具种族、民族和社会色彩的大学之一。 美国多样化的老龄化人口，并利用七所学校校园范围内的“精准健康”计划 整合生物医学数据科学、工程、商业、设计、数字健康技术、虚拟现实干预 和最近捐赠的人口健康科学中心的患者护理，我们感到处于独特的位置，可以使 使用新兴方法在衰老研究中取得改变游戏规则的突破，并领导此类研究工作 全国范围内。