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.

项目摘要/摘要 基于跨学科系统的精准营养培训 精准营养领域未来的劳动力和当前的思想领袖需要深入了解人工智能 智能(AI)，以利用多种组学和可穿戴设备等现代技术的力量来打击 与饮食相关的慢性疾病与国家糖尿病和消化与肾脏研究所的使命有关 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组织了这项研究 企业和学术项目成为“翻译团队”，其中包括教职员工、受训人员和社区 利益相关者共同努力，更快地将基本发现转化为实践。我们建议设立一个博士后 而博士后培训计划--植根于营养和大数据分析的基础学科--将 重点关注与精准营养相关的课程和实践经验。学生将从Long-Long- 运动与营养科学和生物医学信息学专业的长期和成功的博士项目 已在社区卫生服务机构内设立，并在教职员工和计划人员之间建立了紧密的合作关系 要求。我们的培训计划将提供跨学科的、全面的精准营养培训 主题，反映了我们导师团队在营养和新陈代谢(肥胖和糖尿病；微生物组)方面的专业知识 和功能食品；能量平衡；可穿戴技术；数字健康干预)和人工 智能和系统建模(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；以及地理信息 系统)。培训计划将支持9名新的博士后学生和2名博士后学生 其中将由一对多学科的有成就的营养和大数据分析科学家进行指导。 所有受训人员将在入学时获得营养和数据科学方面的混合培训体验 融入该计划，为跨学科培训奠定坚实的基础。受训人员随后将从相关的 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、 等等.。培训还将得到定期系列研讨会和期刊俱乐部的进一步支持；体验轮换； 年度研讨会；社区、行业和基于医疗保健的实习。作为一家服务于&gt；25%的机构 西班牙裔人口，我们的培训计划将强调招募这名和其他代表性不足的学生 并与弱势群体接触。我们将利用我们丰富的培训环境 正在进行的由联邦政府资助的项目，以及我们在凤凰城VA医疗系统的合作伙伴， 和NIDDK凤凰城流行病学和临床研究分部，为学员提供多样化的 特定于西南地区代表性不足人口的数据集。这一跨学科培训计划将 培养出能够解决复杂生物医学挑战的下一代精确营养科学家 我们面临着与饮食相关的慢性疾病后果作斗争。