Mentoring and Patient Oriented Research in Cardiovascular Health and Digital Data Science

项目 摘要/摘要 心血管 关联 进展 的 传感器 暴露。 容易 分析 进行 整合 问题 重点 和 谁 和 毕业， 目标 劳动力”。 能力 K24 数据 表型 健康 (CV)疾病影响了近一半的美国成年人。虽然实现“理想的CV健康” 随着死亡率和发病率的降低，许多人都在努力改变心血管健康行为。 在精准医学中提供了更好地针对这些行为以改善CV健康的承诺。超过 过去十年，数字数据（例如社交媒体、在线搜索、远程 测量），反映了他们的健康行为，态度和环境 然而，这些数据源通常不与经验证的度量相关联，未经处理， 可解释用于研究或临床实践。我的研究项目集中在收集和 以CV为中心的数字数据，用于洞察、预测和临床应用。我的职业重点是 高影响力的面向患者的研究（POR），以更好地了解如何最好地访问，分析和 这些数据以一种以病人为中心的高度实用的方式。这包括工作重点是 涉及隐私、安全和患者偏好。这个K24奖将为我提供受保护的时间 1）实施研究计划，以推进CV健康和数字数据科学中的POR 2)培训一批在开展这项工作的方法方面受过良好培训的调查人员， 将是未来的POR领导者在这一领域的研究。该建议着重于发展的必要步骤， 执行一个全面和结构化的导师计划，将支持学员（本科生， 研究员，教师）的研究和职业发展。这一重点与NHLBI的总体目标相一致 在“数据科学”和“进一步发展，多样化和维持一个NHLBI重点科学 该提案建立在我目前的NHLBI R 01，R21和基金会赠款的基础上，将支持我的 追求在临床试验，社会媒体道德和学术领导的职业导向的培训。这 还将支持两个新的研究领域：1）使用大型数字媒体构建计算模型 用于真实的人群水平可改变CV健康行为监测的套件，2）发展中患者 反映使用和参与，可以为数字干预提供信息，以解决可修改的简历 行为。 一 p， 这个K24的环境是宾夕法尼亚大学-一个世界著名的机构 拥有广泛的资源来支持医学，计算机科学， 通信和工程领域的关键推进这一研究和支持跨学科 实习生K24的重点领域代表了精准医学和数字表型分析的新前沿 CV健康，可以由训练有素的跨学科POR研究人员推进和领导。

Project Summary/Abstract Cardiovascular associated Advances the sensor exposures. easily analyzing conducting integrate issues focus and who and graduate, objectives workforce.” ability K24 data phenotypes health (CV) disease affects nearly half of all adult Americans. Although achieving “ideal CV health” i s with lower mortality nd morbidity, many individuals struggle with modifying CV health behaviors. in precision medicine offer promise in better targeting these behaviors to improve CV health. Over past decade, there has been exponential growth in digital data (e.g. social media, online search, remote measures) generated by individuals which reflects their health behaviors, attitudes, and environmental These data sources however are often not linked with validated measures, unprocessed, and not interpretable for use in research or clinical practice. My research portfolio has focused on collecting and CV focused digital data for insights, prediction, and clinical applications. My career focus is on high-impact atient-oriented research (POR) t o better understand how to best access, analyze and these data in a way that is patient-centered and highly applied. This includes work which focuses on related to privacy, security, and patient preferences. This K24 award will support protected time for me i ntently on: 1) implementing a research program to advance POR in CV health and digital data science 2) training a pipeline of investigators who are well trained in methodologies for conducting this work and will be future POR leaders i n this area of study. This proposal focuses on necessary steps for developing executing a comprehensive and structured mentorship program that will support mentees (undergraduate, fellow, faculty) for research and career development. This focus aligns with NHLBIs overarching in “data science” and “further developing, diversifying and sustaining a NHLBI focused scientific This proposal builds on my current NHLBI R01, R21, and Foundation grants and will support my to pursue career-oriented training in clinical trials, social media ethics, and academic leadership. This will also support two new areas of research: 1) building computational models using large digital media sets for population-level surveillance of modifiable CV health behaviors in real time, 2) developing patient reflecting use and engagement which can inform digital interventions to address modifiable CV behaviors. a p , The environment for this K24 is the University of Pennsylvania-a world renowned institution with extensive resources to support research at the intersection of medicine, computer science, communication, and engineering—fields critical for advancing this research and supporting interdisciplinary trainees. The areas of focus for this K24 represent new frontiers in precision medicine and digital phenotyping for CV health that can be advanced and led by well-trained interdisciplinary POR researchers.