Stanford Aging & Ethnogeriatrics Transdisciplinary Collaborative Center (SAGE)

项目总结--总体构成部分： 美国国立卫生研究院早就认识到积极利用精准医学等新兴方法的必要性， 数字健康、生物医学数据科学和虚拟现实&基于模拟的干预方法 种族和少数民族之间的健康差距。然而，尝试进行跨境贸易的努力相对较少。 利用新兴方法整合生物、社会和行为科学的学科老化研究。这个 拟议的斯坦福老龄和民族老年病学跨学科合作中心(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人员的多样性来增加老龄化研究人员的多样性 使用包括精确医学在内的新兴方法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。通过识别， 指导和支持初级调查员(通过专门的试点基金以及方法和征聘支助) 从代表性不足的群体(圣人科学家)出发，我们建议创造一个具有文化敏感度和文化能力的 研究人员专注于促进医疗保健公平并缓解不同老年人口之间的差距 新兴方法论。我们在三个主要科学要素方面拥有突出的优势，这是 形成一个协调、可持续、影响深远的“老龄化研究，以实践协作”，将行为、社会 和使用新兴方法论的生物科学：1)行为和社会科学家以及差异研究人员， 横跨心理学、精神病学、人口学、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)。 丰富的跨学科转化研究经验，整合了基因的实验室评估 标记物，它们与疾病风险和治疗的关系，与心理社会研究方法的相关性；以及3) 新的卓越的分析和高性能的大数据计算能力，整合在我部 生物医学(‘大数据’)数据科学。斯坦福大学的背景是最具种族、民族和社会背景的 美国多样化的老龄化人口，并利用由七所学校组成的校园范围的“精密健康”计划，该计划 集成了生物医学数据科学、工程、商业、设计、数字健康技术、虚拟现实干预 和患者护理在最近捐赠的人口健康科学中心下，我们感到独特的地理位置使 使用新兴方法在老龄化研究方面取得改变游戏规则的突破，并领导此类研究努力 全国范围内。

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.