The Hawaii Advanced Training in Artificial Intelligence for Precision Nutrition Science Research (AIPrN)

夏威夷精准营养科学研究人工智能高级培训 (AIPRN)

基本信息

  • 批准号:
    10752542
  • 负责人:
  • 金额:
    $ 31.01万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 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

项目摘要

PROJECT SUMMARY/ABSTRACT The University of Hawaii's new Advanced Training Program in Artificial Intelligence for Precision Nutrition Science Research (HI-AIPrN) offers multidisciplinary predoctoral and postdoctoral training through established graduate programs across 4 units in biomedical and nutritional sciences. The established relationship between the units will enrich the local academic environment and increase the number of seasoned senior investigators available as mentors to trainees. The advanced training program has recruited 33 independent investigators and UH faculty who have established research programs pertinent to precision nutrition science and/or artificial intelligence (AI) and systems big data science that are all integral components of precision medicine at individual to population levels. Our research focus groups are cross-disciplinary with themes from dietary/nutrition sciences and nutrition-related health and chronic diseases, such as children's health and development, obesity and diabetes, cancer and cardiovascular diseases, and microbiome, to population health nutrition, including health disparities. The specific objectives are to: 1) Establish the advanced training program in AI-powered, precision nutrition-guided biomedical and health science research. 2) Provide the skills for collaborative cross-disciplinary research that translates between basic and clinical spheres designed to prevent dietary and nutrition-related diseases and advance new cures for all people, including underserved minority groups. 3) To accelerate the career trajectories of the next generation of diverse, multidisciplinary data scientists through multilevel mentoring teams. In this training program, the investigators will coordinate the placement and mentoring of 3 predoctoral students and 3 postdoctoral fellows each year, each for at least two years, in research programs devoted to artificial intelligence methods in precision nutrition using existing data to strengthen the level of scientific sophistication to serve our remote location and multiethnic population. Immersed with a unique training team comprised of multidisciplinary dual-primary mentors and supporting faculty, trainees will benefit from an established curriculum and AIPrN core resources, including nutritional sciences, disease mechanisms and health outcomes, and genomics and multi-omics. Flexible didactic plans and training projects are proposed that provide cross-disciplinary breadth and integrative research approaches. The intercollegiate HI-AIPrN program creates a Pacific central hub by leveraging the excellent resources in Hawaiian biomedical, health, and life sciences, and providing networking and collaborative opportunities that benefit trainee research and career development. With the NIH support, the HI-AIPrN will thrive and refine its mission to provide the Hawaii Pacific region, and the US, with expertly trained next generation of innovators and leaders to improve nutritional health and prevent and treat nutrition-related chronic diseases, with special attention to the unique populations found in Hawaii.
项目摘要/摘要 夏威夷大学新的人工智能高级培训计划,用于精准营养 科学研究(HI-AIPrN)通过建立多学科的博士前和博士后培训 在生物医学和营养科学的4个单位的研究生课程。之间建立的关系 这些单位将丰富当地的学术环境,增加经验丰富的高级调查人员的数量 作为学员的导师。高级培训计划招募了33名独立调查员, UH教师谁已经建立了有关精确营养科学和/或人工研究计划 智能(AI)和系统大数据科学,这些都是个体精准医疗的组成部分 人口水平。我们的研究焦点小组是跨学科的,主题来自饮食/营养科学 和营养相关的健康和慢性疾病,如儿童健康和发育、肥胖和 糖尿病、癌症和心血管疾病以及微生物组对人口健康营养, 差距。具体目标是:1)建立人工智能驱动的高级培训计划, 营养指导的生物医学和健康科学研究。2)提供跨学科协作的技能 基础和临床领域之间的研究,旨在防止饮食和营养相关的 疾病,并为所有人,包括得不到充分服务的少数群体,提出新的治疗方法。3)加快 通过多层次的指导,为下一代多元化、多学科的数据科学家提供职业发展轨迹 团队在这个培训项目中,研究人员将协调3名博士预科生的安置和指导。 学生和3博士后研究员每年,每个至少两年,在研究计划,致力于 人工智能方法在精准营养中利用现有数据加强科学化水平 为我们的偏远地区和多民族人口提供服务。沉浸在独特的培训团队中 由多学科的双小学导师和支持教师组成,学员将受益于 既定的课程和AIPrN核心资源,包括营养科学,疾病机制和健康 结果,基因组学和多组学。提出了灵活的教学计划和培训项目, 跨学科的广度和综合的研究方法。校际HI-AIPrN计划创建了一个 利用夏威夷生物医学、健康和生命科学方面的优秀资源, 提供有利于受训人员研究和职业发展的网络和协作机会。与 在NIH的支持下,HI-AIPrN将蓬勃发展,并完善其使命,为夏威夷太平洋地区和美国, 与训练有素的下一代创新者和领导者一起,改善营养健康,预防和 治疗与营养有关的慢性疾病,特别关注在夏威夷发现的独特人群。

项目成果

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{{ truncateString('Youping Deng', 18)}}的其他基金

Pacific Center for Genome Research
太平洋基因组研究中心
  • 批准号:
    10749842
  • 财政年份:
    2023
  • 资助金额:
    $ 31.01万
  • 项目类别:
Characterizing genomic risk factors of lung cancers in Native Hawaiians
夏威夷原住民肺癌基因组风险因素的特征
  • 批准号:
    10749847
  • 财政年份:
    2023
  • 资助金额:
    $ 31.01万
  • 项目类别:
Bioinformatics Core
生物信息学核心
  • 批准号:
    10576204
  • 财政年份:
    2022
  • 资助金额:
    $ 31.01万
  • 项目类别:
Circulating lipid and miRNA markers for early detection of breast cancer among women with abnormal mammograms
循环脂质和 miRNA 标记物用于乳房 X 光检查异常女性乳腺癌的早期检测
  • 批准号:
    10459379
  • 财政年份:
    2019
  • 资助金额:
    $ 31.01万
  • 项目类别:
Circulating lipid and miRNA markers for early detection of breast cancer among women with abnormal mammograms
循环脂质和 miRNA 标记物用于乳房 X 光检查异常女性乳腺癌的早期检测
  • 批准号:
    10673061
  • 财政年份:
    2019
  • 资助金额:
    $ 31.01万
  • 项目类别:
Circulating lipid and miRNA markers for early detection of breast cancer among women with abnormal mammograms
循环脂质和 miRNA 标记物用于乳房 X 光检查异常女性乳腺癌的早期检测
  • 批准号:
    9982252
  • 财政年份:
    2019
  • 资助金额:
    $ 31.01万
  • 项目类别:
Circulating lipid and miRNA markers for early detection of breast cancer among women with abnormal mammograms
循环脂质和 miRNA 标记物用于乳房 X 光检查异常女性乳腺癌的早期检测
  • 批准号:
    10218097
  • 财政年份:
    2019
  • 资助金额:
    $ 31.01万
  • 项目类别:
Profiling genome-wide circulating ncRNAs for the early detection of lung cancer
分析全基因组循环 ncRNA 以早期检测肺癌
  • 批准号:
    10477044
  • 财政年份:
    2018
  • 资助金额:
    $ 31.01万
  • 项目类别:
Profiling genome-wide circulating ncRNAs for the early detection of lung cancer
分析全基因组循环 ncRNA 以早期检测肺癌
  • 批准号:
    10242187
  • 财政年份:
    2018
  • 资助金额:
    $ 31.01万
  • 项目类别:
Profiling genome-wide circulating ncRNAs for the early detection of lung cancer
分析全基因组循环 ncRNA 以早期检测肺癌
  • 批准号:
    10000889
  • 财政年份:
    2018
  • 资助金额:
    $ 31.01万
  • 项目类别:

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