J: NRSA Training Core

J：NRSA 培训核心

• 批准号: 10662570
• 负责人: JANICE L GABRILOVE
• 金额: $ 78.92万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-10 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10662570
• 关键词: Address; Alzheimer' s Disease; Artificial Intelligence; Ascorbic Acid; Big Data; Biochemical; Bioethics; Bioinformatics; Biology; Biometry; COVID-19; Career Mobility; Citric Acid Cycle; Clinical; Clinical Informatics; Clinical Research; Clinical Sciences; Clinical Trials Design; Collaborations; Communities; Competence; Competency-Based Education; Complex; Computational Biology; Data; Data Science; Data Scientist; Development; Diabetes Mellitus; Discipline; Disease; Disparity; Doctor of Philosophy; Ecosystem; Education; Educational Curriculum; Engineering; Entrepreneurship; Enzymes; Epidemiology; Epigenetic Process; Ethics; Fellowship; Funding; Genetic; Genomics; Goals; Government; Health; Health Sciences; Health system; Healthcare; Human; Individual; Inequity; Institution; Interdisciplinary Communication; Justice; Knowledge; Language; Leadership; Learning; Longevity; Malignant Neoplasms; Medical; Medical Students; Medicine; Mentors; Mentorship; Methods; Modeling; Modernization; National Center for Advancing Translational Sciences; National Research Service Awards; Phenotype; Physicians; Physiology; Postdoctoral Fellow; Productivity; Research; Research Design; Research Personnel; Research Training; Science; Scientist; Social Responsibility; Statistical Computing; TNFSF15 gene; Technology; Training; Training Activity; Training Programs; Translational Research; Underrepresented Populations; United States National Institutes of Health; Vocabulary; Work; anti-racism; biomedical data science; career; career development; clinically relevant; data science education; design; digital health; doctoral student; empowerment; equity, diversity, and inclusion; forging; genome sciences; health disparity; health equity; implementation science; individualized prevention; innovation; member; multidisciplinary; next generation; novel; patient oriented research; patient population; pedagogy; peer; post-doctoral training; pre-doctoral; precision medicine; programs; recruit; resilience; skills; tool; translational scientist

The purpose of our NRSA TL1 Training Core is to develop, implement and disseminate innovative educational pipeline programs in transdisciplinary (TD) clinical and translational science (CTS), designed to launch the careers of the next generation of diverse translational investigators. Our socially responsible and ethically- grounded NRSA-TL1 pre-doctoral and postdoctoral trainees, equipped with epidemiology skills and data science acumen; teaming capacity; and a health equity, community lens, will be prepared to embrace the scientific and medical challenges of tomorrow and pursue novel healthcare solutions. As medicine increasingly tackles previously intractable, yet common complex diseases (e.g., Alzheimer’s, diabetes, cancer, COVID-19), transdisciplinary training in patient-oriented research needs to include data science. A deeper understanding of data science will harness the potential of the massive genetic, epigenetic, biochemical, administrative, and environmental data generated daily in medicine, government, science, and engineering. Our program will catalyze the development of the next generation of leaders in CTS and TD research by building upon our previously established CTSA-funded competency-based education programs, innovative data science education, novel toolkit of training activities and assessments; peer/near peer mentorship program and our highly productive and impactful Patient Oriented Research Training, And Leadership (PORTAL) program that supports both medical students and PhD students. We will additionally leverage our innovative, highly successful postdoctoral program-Sinai Team-based Translational Education Program: the Underrepresented in Medicine and Science (URiMS) Propeller (STTEP-UP) initiative, a novel training effort to advance the CTS careers of URiMS postdoctoral scientists (physicians and PhDs), previously recognized by NCATS for its work in promoting diversity across all NIH CTSA Hubs in the common metric of recruiting and training - underrepresented persons. Our efforts to realize modern CTS through TD research training of physician- scientists and PhD data scientists also takes advantage of our long-standing institutional commitment to big data research, as evidenced by our Biomedical Data Science Initiative, the Exposomics institute, the recently launched Masters and PhD programs in Genomics & Data Science and in Artificial Intelligence, the newly created Clinical Informatics Fellowship, as well as our proposed TD Education and Resilience Accelerators. Our strategically aligned, stage- and learner-specific transdisciplinary training pipeline initiatives aspire to provide novel models of successful CTS TD career development, including justice, equity, diversity and inclusion, as we work at the collaborative interface between data science, and the health of our communities in order to train, sustain and propel the CTS workforce of tomorrow.

我们的 NRSA TL1 培训核心的目的是开发、实施和传播创新教育 跨学科（TD）临床和转化科学（CTS）的管道项目，旨在推出 下一代多样化转化研究者的职业生涯。我们的社会责任和道德- 接地的 NRSA-TL1 博士前和博士后学员，配备流行病学技能和数据 科学敏锐度；团队合作能力；健康公平、社区视角将准备好接受 未来的科学和医学挑战，并寻求新颖的医疗保健解决方案。随着医学越来越 解决以前棘手但常见的复杂疾病（例如阿尔茨海默病、糖尿病、癌症、COVID-19）， 以患者为导向的研究的跨学科培训需要包括数据科学。更深入的了解 数据科学将利用大量遗传、表观遗传、生化、管理和数据的潜力 医学、政府、科学和工程领域每天生成的环境数据。我们的计划将 通过建立我们的基础，促进 CTS 和 TD 研究的下一代领导者的发展 先前建立的 CTSA 资助的基于能力的教育计划、创新数据科学 教育、培训活动和评估的新颖工具包；同行/近同行指导计划和我们的 高效且有影响力的以患者为导向的研究培训和领导力 (PORTAL) 计划 支持医学生和博士生。我们还将利用我们的创新、高度 成功的博士后计划-西奈半岛基于团队的转化教育计划：在 医学与科学 (URiMS) Propeller (STTEP-UP) 计划，一项旨在推进 CTS 的新颖培训工作 URiMS 博士后科学家（医生和博士）的职业生涯，之前因其工作获得 NCATS 认可 在招募和培训的共同指标中促进所有 NIH CTSA 中心的多样性 - 代表性不足的人。我们努力通过医生的 TD 研究培训来实现现代 CTS- 科学家和博士数据科学家还利用我们对大数据的长期机构承诺 数据研究，正如我们的生物医学数据科学计划、暴露组学研究所、最近的 推出了基因组学和数据科学以及人工智能领域的硕士和博士课程， 创建了临床信息学奖学金，以及我们提议的 TD 教育和弹性加速器。 我们战略一致、针对特定阶段和学习者的跨学科培训计划旨在 提供成功的 CTS TD 职业发展的新颖模式，包括正义、公平、多样性和 包容性，因为我们致力于数据科学与社区健康之间的协作界面 以培训、维持和推动未来的 CTS 员工队伍。

项目成果

Are Gender-Affirming Plastic Surgeons Adequately Compensated? An Analysis of Relative Value Units.

肯定性别的整形外科医生是否得到了足够的补偿？

• DOI: 10.1097/sap.0000000000003708
• 发表时间: 2024
• 期刊: Annals of plastic surgery
• 影响因子: 1.5
• 作者: Oleru,OlachiO;Seyidova,Nargiz;Taub,PeterJ
• 通讯作者: Taub,PeterJ

Cannabis use and flap reconstruction: A propensity score matched analysis.

大麻的使用和皮瓣重建：倾向评分匹配分析。

• DOI: 10.1002/micr.31038
• 发表时间: 2023
• 期刊: Microsurgery
• 影响因子: 2.1
• 作者: Oleru,OlachiO;Seyidova,Nargiz;Mai,Davis;Taub,PeterJ
• 通讯作者: Taub,PeterJ

Discovery Viewer (DV): Web-Based Medical AI Model Development Platform and Deployment Hub.

• DOI: 10.3390/bioengineering10121396
• 发表时间: 2023-12-06
• 期刊: BIOENGINEERING-BASEL
• 影响因子: 4.6
• 作者: Fauveau, Valentin;Sun, Sean;Liu, Zelong;Mei, Xueyan;Grant, James;Sullivan, Mikey;Greenspan, Hayit;Feng, Li;Fayad, Zahi A.;Wu, Yunfeng
• 通讯作者: Wu, Yunfeng

Cost Reduction in Plastic Surgery: Starting With the Basics.

降低整形外科成本：从基础开始。

• DOI: 10.1097/sap.0000000000003748
• 发表时间: 2024
• 期刊: Annals of plastic surgery
• 影响因子: 1.5
• 作者: Mandelbaum,MaxG;Oleru,Olachi;Seyidova,Nargiz;Taub,Peter
• 通讯作者: Taub,Peter

Adherence of a Large Language Model to Clinical Guidelines for Craniofacial Plastic and Reconstructive Surgeries.

大型语言模型遵守颅面整形和重建手术临床指南。

• DOI: 10.1097/sap.0000000000003757
• 发表时间: 2024
• 期刊: Annals of plastic surgery
• 影响因子: 1.5
• 作者: Kwon,DanielY;Wang,Anya;Mejia,MateoRestrepo;Saturno,MichaelP;Oleru,Olachi;Seyidova,Nargiz;Taub,PeterJ
• 通讯作者: Taub,PeterJ