Increasing and Diversifying Future AI-Precision Nutrition Research Workforce to Promote Nutrition Health Equity among Underserved Populations

增加未来人工智能精准营养研究队伍并使其多样化，以促进服务不足人群的营养健康公平

• 批准号: 10752165
• 负责人: Janet Antwi
• 金额: $ 36.22万
• 依托单位: PRAIRIE VIEW AGRI & MECH UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-23 至 2028-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10752165
• 关键词: Future; Nutritional Study; Underserved Population; health equity; nutrition; precision nutrition

Project Summary (30 lines) Currently, there is a critical shortage and lack of diversity of individuals, particularly underrepresented groups trained at the interface of computational approaches or integrated data science skills and precision nutrition to analyze and interpret large and complex databases of individual characteristics to resolve nutrition health disparities. This application, aligning with the NIH AI-Precision Nutrition (AIPrN) program goal, proposes a new predoctoral and postdoctoral AIPrN research training program at Prairie View A&M University (PVAMU), a historically black university (HBCU), designed to provide multidisciplinary training in computational data skills and precision nutrition to address the nutrition health disparities based on simulations and real-world research projects covering obesity, type 2 diabetes, cardiovascular diseases, and cancer among underserved populations. The aims of this proposal are to 1) recruit, train, and financially support underrepresented predoctoral students and post-doctoral fellows in AI/ML or nutritional science to the AI-Precision Nutrition research training program as a mechanism to increase the number of effective and diverse scientists integrating AI and Precision Nutrition to address nutrition health disparities; 2) develop and enhance research training program, technical assistance, and mentorship opportunities for such trainees to prepare, build capacity, and advance the field of knowledge and collaborative and integrated research in AI-Precision Nutrition approaches to tackle nutrition health disparities; and 3) provide professional development and foster leadership skills in AI-Precision Nutrition for our trainees who are positioned to apply for fellowships, grants, and as a way to facilitate exposure to careers in AI- Precision Nutrition research and transition to research-intensive careers in academia, industry, the NIH, and private foundations. These objectives will be met through rigorous didactic training, mentorship, engagement in laboratory rotations for sample research projects, and professional and career development with a team of 12 faculty mentors that span across the chronic diseases mentioned in inclusive and diversity-friendly institutional research environments at PVAMU and the USDA/ARS Children Nutrition Research Center, Baylor College of Medicine (CNRC). Three predoctoral students and 1 postdoctoral fellow will be recruited each year over the 5- year grant cycle from the highly underrepresented pool of applicants to PVAMU. During the course of their research training, predoctoral students and postdoctoral fellows will attend professional development workshops and seminars in grant writing, manuscript development, career development advising with the Career Services, and the NIH mandatory annual cross-site BSSR Data Analytics T32 Program grantee meetings. PVAMU, an HBCU with relevant programs in AI/machine learning and precision, and the cutting-edge research at CNRC, positions the two institutions to propel the goal to increase and diversify qualified scientists and practitioners in this field to address nutrition health disparities.

项目摘要（30行） 目前，个人，特别是代表性不足的群体， 在计算方法或综合数据科学技能和精确营养的界面上接受培训， 分析和解释个体特征的大型复杂数据库，以解决营养健康问题 差距。该应用程序与NIH AI精准营养（AIPrN）计划目标保持一致，提出了一种新的 在草原视图A&M大学（PVAMU）的博士前和博士后AIPrN研究培训计划， 历史上的黑人大学（HBCU），旨在提供计算数据技能的多学科培训 和精确营养，以解决基于模拟和现实世界研究的营养健康差异 在服务不足的人群中开展有关肥胖、2型糖尿病、心血管疾病和癌症的项目。 该提案的目的是1）招募，培训和财政支持代表性不足的博士生 AI/ML或营养科学的博士后研究员参加AI-精准营养研究培训计划 作为一种机制，以增加整合人工智能和精准营养的有效和多样化科学家的数量 解决营养健康差距; 2）制定和加强研究培训计划，技术援助， 为这些学员提供培训、能力建设和推进知识领域的机会 以及人工智能精准营养方法的合作和综合研究，以解决营养健康问题 差异;以及3）为我们的AI精准营养提供专业发展和培养领导技能 学员谁是定位申请奖学金，赠款，并作为一种方式，以促进接触的职业生涯在人工智能- 精准营养研究和过渡到学术界，工业界，NIH和 私人基金会。这些目标将通过严格的教学培训、指导、参与 样本研究项目的实验室轮换，以及12人团队的专业和职业发展 教师导师，跨越慢性疾病中提到的包容性和多样性友好的机构 研究环境在PVAMU和美国农业部/ARS儿童营养研究中心，贝勒大学 医学（CNRC）。每年招收3名博士前研究生和1名博士后研究员，为期5- 一年的赠款周期从申请人的高度代表性池PVAMU。期间因执行 研究培训，博士前学生和博士后研究员将参加专业发展讲习班 和研讨会，在赠款写作，手稿开发，职业发展咨询与职业服务， 以及NIH强制性年度跨站点BSSR数据分析T32计划受资助者会议。 PVAMU，一个HBCU，在人工智能/机器学习和精确度方面有相关的项目，以及尖端的研究 在CNRC，定位两个机构，以推动目标，以增加和多样化的合格的科学家， 这一领域的从业人员，以解决营养健康差距。