Method Core
方法核心
基本信息
- 批准号:10488321
- 负责人:
- 金额:$ 25.92万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-19 至 2027-07-31
- 项目状态:未结题
- 来源:
- 关键词:Artificial IntelligenceBackBig DataBiologyBlood specimenCharacteristicsClinicalClinical ResearchClinical Trials DesignCodeCommunitiesComplexConsultationsDataData MartData ScienceData SetData SourcesDevelopmentDiagnosisDiseaseElectronic Health RecordEnvironmental Risk FactorFoundationsFractureFunctional disorderFundingGenomicsGenotypeGoalsGrantHealthHumanImageIndianaIndividualInformaticsInformation SystemsInterdisciplinary StudyLaboratoriesLinkLongevityMeasurementMeasuresMediatingMetastatic Neoplasm to the BoneMethodologyMethodsMolecularMorphologyMuscle functionMusculoskeletalMusculoskeletal DiseasesNatural Language ProcessingOsteoporosisOutcomeParticipantPatient CarePatient Outcomes AssessmentsPatientsPharmaceutical PreparationsPhenotypePhysical FunctionPhysical PerformancePopulationProspective StudiesProteomicsPublic Health InformaticsResearchResearch DesignResearch PersonnelResource InformaticsResourcesRetrospective StudiesRisk FactorsScienceSecureServicesSourceSpecimenStandardizationStatistical Data InterpretationSystemSystems BiologyTechnologyTextTissue SampleTrainingTranslatingTranslational ResearchWorld Healthbench to bedsidebiobankbonebone imagingclinical centerclinical phenotypecohortcollaborative approachcomputable phenotypesdata qualitydesigndisabilitydiverse dataepidemiology studyexome sequencingfallsgenomic dataimage processingimprovedinnovationmachine learning methodmachine learning modelmetabolomicsmultidisciplinarymultiple data sourcesmusculoskeletal injurynew technologynovelpredict clinical outcomepublic health interventionquery toolsranpirnasereal world applicationsarcopeniasocial factorssocial health determinantssocial structuresuccesstool
项目摘要
Musculoskeletal (MSK) injuries and diseases are the leading cause of disability across the lifespan. The
pathophysiology of MSK disease is complex, and clinical research requires a broad range of data types including
electronic health record (EHR) data (patient characteristics, treatments, and clinical outcomes), standardized
physical performance measures, bone imaging, laboratory measures, omics data (e.g. genomics, proteomics,
metabolomics), patient reported outcome tools, and social determinants of health. A lack of integration of these
complex ‘big data’ sources impedes access and utilization by investigators. The goal of the Indiana Center for
Musculoskeletal Health-Clinical Research Center is to provide access to state-of-the-art informatics
resources and technology to define and characterize MSK biology and disease genotypes; computable,
molecular, functional, and clinical phenotypes; and the social factors, collectively mediating MSK health, disease
and disability across the lifespan, and to develop cures. In our initial P30 funding period, we established a
Musculoskeletal Informatics Methodology (MIM) Core, leveraging a large inter-organizational integrated
health information exchange of EHR data to detect several computable (assessed from the EHR) MSK
phenotypes, that incorporate diagnosis and other codes, medications, laboratory values and/or clinical text notes.
We integrated such computable phenotypes with the measurements (physical performance and bone
assessments) and associated biospecimens from the ICMH-CRC FIT Core, to support investigators in clinical
study design, feasibility assessments, and translating bench discoveries to humans. In the current proposal, the
MIM Core will expand our support of investigators in multi-disciplinary clinical and translational research
leveraging the use of novel informatics methods and resources, to improve musculoskeletal health. The MIM
Core will develop a large facile, secure Musculoskeletal Data Mart that integrates and makes ready for clinical
research, data from multiple resources including: 1) EHR systems of the Indiana Network for Patient Care, using
computable phenotypes to generate a cohort of more than 880,000 patients with MSK disorders, 2) community
data systems information on social determinants of health and other risk factors, and 3) the full data from the FIT
Core musculoskeletal phenotyping, biospecimens, and genomic data. This Data Mart will facilitate feasibility
analyses, grant support, and retrospective and prospective studies to support translational research from bench
to bedside and back. The MIM Core will also provide statistical support for clinical trial design, and informatics
and data science approaches such as applying natural language processing to extract EHR text data, health
informatics analyses of outcomes, integrative genomic analyses, and applying machine learning models to
predict clinical outcomes. These new and innovative initiatives will link the researchers of the Indiana Center for
Musculoskeletal Health to state-of-the-art resources, advancing musculoskeletal science to ultimately benefit
public and individual health and mobility.
肌肉骨骼(MSK)损伤和疾病是一生中致残的主要原因。的
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Erik Allen Imel其他文献
Erik Allen Imel的其他文献
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{{ truncateString('Erik Allen Imel', 18)}}的其他基金
Sarcopenia: computable phenotypes and clinical outcomes.
肌肉减少症:可计算的表型和临床结果。
- 批准号:
10378772 - 财政年份:2020
- 资助金额:
$ 25.92万 - 项目类别:
FGF23 in Pediatric Phosphate Physiology and X-linked Hypophosphatemic Rickets.
FGF23 在小儿磷酸盐生理学和 X 连锁低磷血症性佝偻病中的作用。
- 批准号:
7786171 - 财政年份:2009
- 资助金额:
$ 25.92万 - 项目类别:
FGF23 in Pediatric Phosphate Physiology and X-linked Hypophosphatemic Rickets.
FGF23 在小儿磷酸盐生理学和 X 连锁低磷血症性佝偻病中的作用。
- 批准号:
7639753 - 财政年份:2009
- 资助金额:
$ 25.92万 - 项目类别:
FGF23 in Pediatric Phosphate Physiology and X-linked Hypophosphatemic Rickets.
FGF23 在小儿磷酸盐生理学和 X 连锁低磷血症性佝偻病中的作用。
- 批准号:
8101819 - 财政年份:2009
- 资助金额:
$ 25.92万 - 项目类别:
FGF23 in Pediatric Phosphate Physiology and X-linked Hypophosphatemic Rickets.
FGF23 在小儿磷酸盐生理学和 X 连锁低磷血症性佝偻病中的作用。
- 批准号:
8289355 - 财政年份:2009
- 资助金额:
$ 25.92万 - 项目类别:
FGF23 in Pediatric Phosphate Physiology and X-linked Hypophosphatemic Rickets.
FGF23 在小儿磷酸盐生理学和 X 连锁低磷血症性佝偻病中的作用。
- 批准号:
8502242 - 财政年份:2009
- 资助金额:
$ 25.92万 - 项目类别:
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