Artificial Intelligence Strategies for Alzheimer's Disease Research
Artificial Intelligence Strategies for Alzheimer's Disease Research
批准号:
10582512
负责人:
Jason H. Moore
金额:
$160.94万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-30 至 2026-08-31
中文摘要
阿尔茨海默病(AD)是一种常见的疾病,其部分原因是蛋白质错误折叠,
聚合来对AD的研究是国家的优先事项,每年有550万美国人受到影响。
花费超过2500亿美元,而且没有可用的治疗方法。这是尽管大量投资,
在实验和基于人群的研究中收集各种临床和生物学数据。
人工智能(AI)和机器学习有可能揭示临床和医学领域的模式。
使用标准方法尚未发现的多源大规模阿尔茨海默氏症数据。
我们在这里提出了一个全面的生物医学计算和健康信息学研究项目
开发和应用尖端的人工智能算法和生物医学软件,用于分析大型
规模AD数据。这个拟议的信息学计划的核心是PennAI方法,
用于通过AI算法自动化机器学习的软件,该算法可以从先前的
分析。这种方法消除了选择正确机器学习算法的猜测
和参数设置,从而使这种计算技术对每个人都是可访问的。
具体来说,我们将开发三种新的信息学方法来定制PennAI,以分析
AD数据。首先,我们将开发一个多模态交互(M2I)特征选择算法,
识别预测AD的遗传相互作用(AIM 1)。第二,我们会发展一个
知识驱动的多组学集成(KMI)算法,用于组合AI的组学特征
AD分析(AIM 2)。第三,我们将开发多维脑成像组学(MBIO)
多源大规模数据联合分析预测AD的集成框架。
最后,我们将把这三种生物医学信息学方法整合到我们的开源PennAI中。
软件包,并将其应用到两个大的人口为基础的研究AD。我们期待彭奈
将揭示AD的新生物标志物,为更好的治疗和临床决策打开大门
支持.
英文摘要
Alzheimer's disease (AD) is a common disease that is partly due to protein misfolding and
aggregation. Research on AD is a national priority with 5.5 million Americans affected at an annual
cost of more than $250 billion and no available cure. This is despite heavy investments in the
collection of diverse clinical and biological data in experimental and population-based studies.
Artificial intelligence (AI) and machine learning have the potential to reveal patterns in clinical and
multi-source large-scale Alzheimer’s data that have not been found using standard approaches.
We propose here a comprehensive biomedical computing and health informatics research project
to develop and apply cutting-edge AI algorithms and biomedical software for the analysis of large-
scale AD data. At the heart of this proposed informatics program is the PennAI method and
software for automating machine learning through an AI algorithm that can learn from prior
analyses. This approach takes the guesswork out of picking the right machine learning algorithms
and parameter settings thus making this computing technology accessible to everyone.
Specifically, we will develop three novel informatics methods to tailor PennAI to the analysis of
AD data. First, we will develop a Multi-Modal Interaction (M2I) feature selection algorithm for
identifying genetic interactions that are predictive of AD (AIM 1). Second, we will develop a
Knowledge-driven Multi-omics Integration (KMI) algorithm for combining omics features for AI
analysis of AD (AIM 2). Third, we will develop a Multidimensional Brain Imaging Omics (MBIO)
integration framework for the joint analysis of multi-source large-scale data for predicting AD.
Finally, we will integrate all three biomedical informatics methods into our open-source PennAI
software package and apply it to two large population-based studies of AD. We expect PennAI
will reveal new biomarkers for AD that will open the door for better treatments and clinical decision
support.
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DOI:
10.1002/psp4.12975
发表时间:
2023-08
期刊:
CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY
影响因子:
3.5
作者:
[Hao, Yun, Romano, Joseph D. D., Moore, Jason H. H.]
通讯作者:
Moore, Jason H. H.
DOI:
10.1016/j.patter.2022.100565
发表时间:
2022-09-09
期刊:
PATTERNS
影响因子:
6.5
作者:
[Hao, Yun, Romano, Joseph D., Moore, Jason H.]
通讯作者:
Moore, Jason H.
DOI:
10.1021/acs.chemrestox.2c00074
发表时间:
2022-08-15
期刊:
CHEMICAL RESEARCH IN TOXICOLOGY
影响因子:
4.1
作者:
[Romano, Joseph D., Hao, Yun, Moore, Jason H., Penning, Trevor M.]
通讯作者:
Penning, Trevor M.
DOI:
10.1142/9789811286421_0008
发表时间:
2023-12
期刊:
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
影响因子:
--
作者:
[Jason H Moore;Xi Li;Jui-Hsuan Chang;Nicholas P. Tatonetti;Dan Theodorescu;Yong Chen;F. Asselbergs;Mythreye Venkatesan;Zhiping Wang]
通讯作者:
Jason H Moore;Xi Li;Jui-Hsuan Chang;Nicholas P. Tatonetti;Dan Theodorescu;Yong Chen;F. Asselbergs;Mythreye Venkatesan;Zhiping Wang
Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers.
DOI:
10.1126/sciadv.abl4747
发表时间:
2022-11-25
期刊:
Science advances
影响因子:
13.6
作者:
[]
通讯作者:
共 6 条
Bioinformatics Strategies for Genome Wide Association Studies
-
批准号:10616262
-
项目类别:
-
资助金额:$36.95万
-
财政年份:2022
-
负责人:Jason H. Moore
-
依托单位:
Bioinformatics Strategies for Genome Wide Association Studies
-
批准号:10654872
-
项目类别:
-
资助金额:$34.89万
-
财政年份:2022
-
负责人:Jason H. Moore
-
依托单位:
Admin-Core
-
批准号:10685537
-
项目类别:
-
资助金额:$48.11万
-
财政年份:2021
-
负责人:Jason H. Moore
-
依托单位:
Artificial Intelligence Strategies for Alzheimer's Disease Research
-
批准号:10491672
-
项目类别:
-
资助金额:$159.26万
-
财政年份:2021
-
负责人:Jason H. Moore
-
依托单位:
Admin-Core
-
批准号:10491768
-
项目类别:
-
资助金额:$50.9万
-
财政年份:2021
-
负责人:Jason H. Moore
-
依托单位:
Admin-Core
-
批准号:10274448
-
项目类别:
-
资助金额:$52.2万
-
财政年份:2021
-
负责人:Jason H. Moore
-
依托单位:
Artificial Intelligence Strategies for Alzheimer's Disease Research
-
批准号:10907083
-
项目类别:
-
资助金额:$41.06万
-
财政年份:2021
-
负责人:Jason H. Moore
-
依托单位:
Informatics Algorithms for Genomic Analysis of Brain Imaging Data
-
批准号:10366006
-
项目类别:
-
资助金额:$33.55万
-
财政年份:2020
-
负责人:Jason H. Moore
-
依托单位:
Informatics Algorithms for Genomic Analysis of Brain Imaging Data
-
批准号:10206271
-
项目类别:
-
资助金额:$33.56万
-
财政年份:2020
-
负责人:Jason H. Moore
-
依托单位:
Informatics Algorithms for Genomic Analysis of Brain Imaging Data
-
批准号:10065859
-
项目类别:
-
资助金额:$35.07万
-
财政年份:2020
-
负责人:Jason H. Moore
-
依托单位:
Informatics Algorithms for Genomic Analysis of Brain Imaging Data
-
批准号:10591596
-
项目类别:
-
资助金额:$33.53万
-
财政年份:2020
-
负责人:Jason H. Moore
-
依托单位:
Postdoctoral Training Program in Genomic Medicine
-
批准号:9920750
-
项目类别:
-
资助金额:$51.53万
-
财政年份:2017
-
负责人:Jason H. Moore
-
依托单位:
Postdoctoral Training Program in Genomic Medicine
-
批准号:9279490
-
项目类别:
-
资助金额:$17.92万
-
财政年份:2017
-
负责人:Jason H. Moore
-
依托单位:
Biomedical Computing and Informatics Strategies for Infectious Disease Research
-
批准号:9430380
-
项目类别:
-
资助金额:$87.5万
-
财政年份:2016
-
负责人:Jason H. Moore
-
依托单位:
Biomedical Computing and Informatics Strategies for Infectious Disease Research
-
批准号:9232970
-
项目类别:
-
资助金额:$53.68万
-
财政年份:2016
-
负责人:Jason H. Moore
-
依托单位:
Biomedical Computing and Informatics Strategies for Infectious Disease Research
-
批准号:9106116
-
项目类别:
-
资助金额:$57.18万
-
财政年份:2016
-
负责人:Jason H. Moore
-
依托单位:
Bioinformatics Approaches to Visual Disease Genetics
-
批准号:9031889
-
项目类别:
-
资助金额:$16.2万
-
财政年份:2015
-
负责人:Jason H. Moore
-
依托单位:
Bioinformatics Approaches to Visual Disease Genetics
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批准号:8264613
-
项目类别:
-
资助金额:$32.2万
-
财政年份:2012
-
负责人:Jason H. Moore
-
依托单位:
Bioinformatics Approaches to Visual Disease Genetics
-
批准号:8698757
-
项目类别:
-
资助金额:$15.55万
-
财政年份:2012
-
负责人:Jason H. Moore
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依托单位:
Bioinformatics Strategies for Multidimensional Brain Imaging Genetics
-
批准号:8714056
-
项目类别:
-
资助金额:$33.04万
-
财政年份:2012
-
负责人:Jason H. Moore
-
依托单位:
海外基金