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