Interdisciplinary Systems-based Training for Precision Nutrition

精准营养跨学科系统培训

• 批准号: 10751913
• 负责人: Li Liu
• 金额: $ 26.39万
• 依托单位: ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2028-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10751913
• 关键词: System; Training; precision nutrition

Project Summary/Abstract Interdisciplinary Systems-based Training for Precision Nutrition The future workforce and current thought leaders in precision nutrition need in-depth knowledge of artificial intelligence (AI) to harness the power of modern technologies such as multi-omics and wearables to combat diet-related chronic diseases related to the mission of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Arizona State University (ASU), through the College of Health Solutions (CHS), is poised to meet this need through its multidisciplinary, transformative new structure. CHS has organized its research enterprise and academic programs into “Translational Teams,” wherein faculty, trainees, and community stakeholders work together to more rapidly translate basic discovery into practice. We propose a predoctoral and postdoctoral training program - rooted in foundational disciplines of nutrition and big data analytics - that will focus on courses and practical experiences related to precision nutrition. Students will be drawn from long- standing and successful PhD programs in Exercise & Nutritional Sciences and Biomedical Informatics, both of which are already housed within CHS and have strong collaborative ties among faculty and programmatic requirements. Our training program will provide an interdisciplinary, comprehensive training in precision nutrition topics, reflecting the expertise of our mentor team in nutrition and metabolism (obesity and diabetes; microbiome and functional foods; energy balance; wearable technologies; and digital health interventions) and artificial intelligence and systems modeling (multimodal and multiscale data integration; systems biology; actionable and interpretable AI; AI-based personalization ; time-series and mobile device analytics; and geographic information systems). The training program will support nine new predoctoral students and two postdoctoral students, each of whom will be mentored by a multidisciplinary pair of accomplished nutrition and big data analytics scientists. All trainees will be provided a hybrid-delivered “bootcamp” experience in nutrition and data science upon entry into the program to build a strong foundation for interdisciplinary training. Trainees will then sample from relevant courses in statistical and machine learning, energetics, nutrigenomics, clinical applications, adaptive trial design, etc... The training will be further supported by regular seminar series and journal clubs; experiential rotations; annual symposia; and community, industry, and healthcare-based internships. As an institution that serves >25% Hispanic population, our training program will emphasize recruitment of this and other underrepresented student populations and engage with disadvantaged communities. We will leverage our rich training environment of ongoing federally-funded projects, along with our collaborative partners at the Phoenix VA Healthcare System, and the NIDDK Phoenix Epidemiology and Clinical Research Branch, to provide trainee access to diverse datasets specific to underrepresented populations of the Southwest. This interdisciplinary training program will produce the next-generation precision nutrition scientists capable of solving the complex biomedical challenges we face in combating diet-related chronic disease outcomes.

项目概要/摘要 精准营养跨学科系统培训 未来的劳动力和当前精准营养领域的思想领袖需要深入了解人工 人工智能（AI）利用多组学和可穿戴设备等现代技术的力量来对抗 与国家糖尿病、消化和肾脏研究所的使命相关的与饮食相关的慢性疾病 疾病（NIDDK）。亚利桑那州立大学 (ASU) 通过健康解决方案学院 (CHS) 准备 通过其多学科、变革性的新结构来满足这一需求。 CHS已组织研究 将企业和学术项目纳入“转化团队”，其中教师、学员和社区 利益相关者共同努力，更快地将基本发现转化为实践。我们建议博士前 和博士后培训计划 - 植根于营养和大数据分析的基础学科 - 这将 专注于精准营养相关的课程和实践经验。学生将来自长期 运动与营养科学和生物医学信息学领域的常设和成功的博士课程 它们已经设在 CHS 内，并且在教职员工和项目之间具有牢固的合作关系 要求。我们的培训计划将提供精准营养方面的跨学科、全面的培训 主题，反映了我们导师团队在营养和代谢（肥胖和糖尿病；微生物组）方面的专业知识 和功能性食品；能量平衡；可穿戴技术；和数字健康干预措施）和人工 情报和系统建模（多模式和多尺度数据集成；系统生物学；可操作和 可解释的人工智能；基于人工智能的个性化；时间序列和移动设备分析；和地理信息 系统）。该培训计划将支持九名新博士前学生和两名博士后学生，每人 其中将受到一对多学科的、卓有成就的营养和大数据分析科学家的指导。 所有学员在入学后都将获得营养和数据科学方面的混合式“训练营”体验 纳入该计划，为跨学科培训奠定坚实的基础。然后，学员将从相关的样本中进行抽样 统计和机器学习、能量学、营养基因组学、临床应用、适应性试验设计等课程 等等... 定期研讨会系列和期刊俱乐部将进一步支持培训；经验轮换； 年度研讨会；以及基于社区、行业和医疗保健的实习。作为服务超过 25% 的机构 西班牙裔人口，我们的培训计划将强调招募该学生和其他代表性不足的学生 人口并与弱势社区接触。我们将利用我们丰富的培训环境 正在进行的联邦政府资助的项目，以及我们在凤凰城退伍军人医疗系统的合作伙伴， 和 NIDDK 菲尼克斯流行病学和临床研究分部，为学员提供多种接触机会 针对西南地区代表性不足的人群的数据集。该跨学科培训计划将 培养能够解决复杂生物医学挑战的下一代精准营养科学家 我们在对抗与饮食相关的慢性疾病后果方面面临着挑战。