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

心血管健康和数字数据科学领域的指导和以患者为导向的研究

• 批准号: 10188779
• 负责人: Raina Merchant
• 金额: $ 12.3万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10188779
• 关键词: Address; Adult; Affect; Age; American; Area; Attitude; Behavior; Big Data Methods; Blood Pressure; Caliber; Cardiovascular Diseases; Cardiovascular system; Cellular Phone; Cholesterol; Clinical; Clinical Trials; Communication; Communities; Competence; Complement; Complex; Computer Models; Computers; Coupled; Data; Data Science; Data Set; Data Sources; Development; Devices; Diet; Disease; Engineering; Environment; Ethics; Event; Foundations; Funding; Future; Gender; Geography; Glucose; Grant; Growth; Health; Health behavior; Human; Income; Individual; Institution; Internet; Intervention; Investigation; Knowledge; Leadership; Life Expectancy; Link; Machine Learning; Measures; Medicine; Mentors; Mentorship; Methodology; Mid-Career Clinical Scientist Award (K24); Mining; Morbidity - disease rate; National Heart, Lung, and Blood Institute; Natural Language Processing; Observational Study; Outcome; Patient Education; Patient Preferences; Patients; Pennsylvania; Phenotype; Physical activity; Population; Privacy; Process; Race; Research; Research Infrastructure; Research Personnel; Research Support; Resources; Safety; Scientist; Security; Smoking; Source; Structure; System; Time; Training; Training Programs; Training Support; Underrepresented Minority; United States; United States National Institutes of Health; Universities; Weight; Work; burden of illness; cardiovascular disorder risk; cardiovascular health; cardiovascular risk factor; career; career development; clinical application; clinical practice; computer science; data streams; demographics; digital; digital health; digital intervention; digital media; disorder risk; experience; faculty research; frontier; human capital; improved; improved outcome; insight; mortality; next generation; novel; patient oriented; patient oriented research; phenotypic data; precision medicine; programs; recruit; research and development; response; risk prediction; sensor; social media; tool; training opportunity; undergraduate student; uptake

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.

项目 摘要/摘要 心血管 联系 进展 这 传感器 曝光。 容易地 分析 进行 整合 问题 重点 和 WHO 和 毕业， 目标 劳动力。” 能力 K24 数据 表型 健康 尽管实现“理想的心血管健康”是很困难的，但（CV）疾病影响了近一半的美国成年人。 由于死亡率和发病率较低，许多人都在努力改变心血管健康行为。 精准医学领域的研究有望更好地针对这些行为来改善心血管健康。 过去十年，数字数据（例如社交媒体、在线搜索、远程 措施）由个人产生，反映他们的健康行为、态度和环境 然而，这些数据源通常与经过验证的测量没有联系，未经处理，也没有 可解释用于研究或临床实践。 我的职业重点是用于洞察、预测和临床应用的 CV 数字数据。 高影响力的以患者为导向的研究 (POR)，以更好地了解如何最好地访问、分析和 这些数据以患者为中心且高度适用，其中包括关注的工作。 与隐私、安全和患者偏好相关的 K24 奖项将为我提供受保护的时间。 重点关注：1) 实施一项研究计划，以推进 CV 健康和数字数据科学领域的 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研究人员 将成为该研究领域未来的 POR 领导者。该提案重点关注发展的必要步骤。 执行全面且结构化的指导计划，以支持受指导者（本科生、 这一重点与 NHLBI 的总体目标一致。 在“数据科学”和“进一步发展、多样化和维持以 NHLBI 为重点的科学 该提案建立在我当前的 NHLBI R01、R21 和基金会拨款的基础上，并将支持我的 寻求临床试验、社交媒体道德和学术领导力方面的职业导向培训。 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 设置实时可改变的心血管健康行为的人群水平监测，2) 发展中的患者 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。 一个 p, 本次K24的环境是世界知名学府宾夕法尼亚大学 拥有广泛的资源来支持医学、计算机科学、 通信和工程——对于推进这项研究和支持跨学科至关重要的领域 K24 的重点领域代表了精准医学和数字表型分析的新领域。 CV 健康可以由训练有素的跨学科 POR 研究人员推进和领导。