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

项目摘要(30行) 目前，个人，特别是代表性不足的群体严重短缺和缺乏多样性。 在计算方法或综合数据科学技能和精确营养的接口上进行培训，以 分析和解释庞大而复杂的个体特征数据库，以解决营养健康问题 差距。该应用程序与NIH AI-Precision Nutrition(AIPrN)计划目标一致，提出了一种新的 草原景观农工大学(PVAMU)的博士后和博士后AIPrN研究培训计划，a 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 和精确营养来解决营养健康差距，基于模拟和现实世界的研究 项目涵盖服务不足人群中的肥胖症、2型糖尿病、心血管疾病和癌症。 这项提案的目的是：1)招募、培训和资助人数不足的博士生 和AI/ML或营养学博士后研究员参加AI-Precision营养学研究培训计划 作为一种机制，增加将人工智能和精密营养相结合的有效和多样化的科学家数量 解决营养健康差距；2)制定和加强研究培训方案、技术援助、 为这些受训人员提供准备、建设能力和推进知识领域的指导机会 在人工智能-精密营养方法方面进行合作和综合研究，以解决营养健康问题 差异；以及3)在AI-Precision Nutrition方面提供专业发展和培养领导技能 能够申请奖学金、助学金并作为促进接触人工智能职业的一种方式的受训人员- 精准营养研究和向学术界、工业界、美国国立卫生研究院和 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 涵盖包容性和多样性友好的机构中提到的慢性疾病的教师导师 贝勒大学PVAMU和美国农业部/ARS儿童营养研究中心的研究环境 医学(CNRC)。每年将招聘3名博士后学生和1名博士后研究员。 从代表人数严重不足的申请者池到PVAMU的年度赠款周期。在他们的过程中 研究培训，博士后学员和博士后研究员将参加专业发展研讨会 以及与职业服务局合作的赠款撰写、手稿开发、职业发展咨询方面的研讨会， 以及NIH强制性跨站点BSSR数据分析T32计划受让人会议。 PVAMU是一所HBCU，拥有人工智能/机器学习和精度方面的相关程序，以及前沿研究 在CNRC，这两个机构的定位是推动增加和多样化合格科学家和 这一领域的从业人员应解决营养健康差距问题。

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.