Diagnosing the Unknown for Care and Advancing Science (DUCAS)
诊断未知的护理和推进科学 (DUCAS)
基本信息
- 批准号:10872436
- 负责人:
- 金额:$ 355万
- 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:2023-04-19 至 2028-03-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAdministrative SupplementAreaArtificial IntelligenceAttentionBioinformaticsBiomedical ResearchCaenorhabditis elegansCaringClinicalCollaborationsCommunitiesConsultationsDNA Sequencing FacilityData AnalysesData Coordinating CenterDedicationsDiagnosisDiagnosticDiseaseDrosophila genusEcosystemElementsEmotionalEquityEvaluationFamilyFosteringFundingGenesGoalsHealthcare SystemsImprove AccessIndividualInfrastructureInstitutionInterventionInvestigationLeadMaintenanceMedicalModelingOregonOutcomeParticipantPathogenicityPatientsPhasePhenotypePositioning AttributePrincipal InvestigatorRecruitment ActivityResearchResearch InfrastructureResearch MethodologyResourcesSamplingScienceSiteStressSurveysTarget PopulationsTechnologyTestingTransgenic OrganismsUniversitiesVariantWashingtonZebrafishaccurate diagnosisbiobankcatalystclinical research sitecommunity engagementeffective therapyexperiencehealth disparityimprovedmeetingsmembermetabolomicsmodel organismmultidisciplinarynoveloutreachrare conditionrecruitscreeningsuccessunderserved community
项目摘要
ABSTRACT
Individuals with rare conditions often experience long diagnostic odysseys, which cause physical and
emotional burdens and delay effective treatment and management. The Undiagnosed Diseases Network
(UDN) has made significant progress in collaborative clinical and research approaches to provide answers to
patients with undiagnosed conditions. However, critical areas require attention, including access to research
approaches and representation from communities experiencing health disparities. As the Data Management
Coordinating Center (DMCC), we aim to address these gaps and enhance the UDN's impact. Our specific aims
are to provide essential research infrastructure, increase outreach to underserved communities, and optimize
research efficiency through technical solutions. By expanding research capabilities, engaging communities
experiencing health disparities, and leveraging advanced technologies, this research will advance the
diagnosis and understanding of rare and undiagnosed conditions, benefiting patients, the scientific community,
and the healthcare system.
抽象的
患有罕见疾病的人通常会经历漫长的诊断过程,这会导致身体和
情绪负担并延误有效的治疗和管理。未确诊疾病网络
(UDN)在协作临床和研究方法方面取得了重大进展,为以下问题提供了答案
患有未确诊病症的患者。然而,需要关注关键领域,包括获得研究成果
经历健康差异的社区的方法和代表性。作为数据管理
协调中心 (DMCC),我们的目标是解决这些差距并增强 UDN 的影响力。我们的具体目标
是提供必要的研究基础设施,增加对服务不足的社区的影响,并优化
通过技术解决方案提高研究效率。通过扩大研究能力,吸引社区参与
经历健康差异并利用先进技术,这项研究将推动
诊断和了解罕见和未诊断的疾病,使患者、科学界受益,
和医疗保健系统。
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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Euan A Ashley其他文献
Artificial Intelligence in Molecular Medicine. Reply.
分子医学中的人工智能。
- DOI:
10.1056/nejmc2308776 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Bruna Gomes;Euan A Ashley - 通讯作者:
Euan A Ashley
Prediction of diagnosis and diastolic filling pressure by AI-enhanced cardiac MRI: a modelling study of hospital data.
通过人工智能增强心脏 MRI 预测诊断和舒张充盈压:医院数据的建模研究。
- DOI:
10.1016/s2589-7500(24)00063-3 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
D. Lehmann;Bruna Gomes;Niklas Vetter;Olivia Braun;Ali Amr;Thomas Hilbel;Jens Müller;Ulrich Köthe;Christoph Reich;E. Kayvanpour;F. Sedaghat;Manuela Meder;J. Haas;Euan A Ashley;Wolfgang Rottbauer;D. Felbel;Raffi Bekeredjian;H. Mahrholdt;Andreas Keller;P. Ong;Andreas Seitz;H. Hund;N. Geis;F. André;Sandy Engelhardt;Hugo A Katus;Norbert Frey;Vincent Heuveline;Benjamin Meder - 通讯作者:
Benjamin Meder
Euan A Ashley的其他文献
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{{ truncateString('Euan A Ashley', 18)}}的其他基金
Diagnosing the Unknown for Care and Advancing Science (DUCAS)
诊断未知的护理和推进科学 (DUCAS)
- 批准号:
10682163 - 财政年份:2023
- 资助金额:
$ 355万 - 项目类别:
Systematically mapping variant effects for cardiovascular genes
系统地绘制心血管基因的变异效应
- 批准号:
10501975 - 财政年份:2022
- 资助金额:
$ 355万 - 项目类别:
Center for Undiagnosed Diseases at Stanford Administrative Supplement
斯坦福大学未确诊疾病中心行政增刊
- 批准号:
10677455 - 财政年份:2022
- 资助金额:
$ 355万 - 项目类别:
Structure function relationships from deep mutational scanning in human cardiomyopathy
人类心肌病深度突变扫描的结构功能关系
- 批准号:
10083762 - 财政年份:2020
- 资助金额:
$ 355万 - 项目类别:
Structure function relationships from deep mutational scanning in human cardiomyopathy
人类心肌病深度突变扫描的结构功能关系
- 批准号:
10576926 - 财政年份:2020
- 资助金额:
$ 355万 - 项目类别:
Structure function relationships from deep mutational scanning in human cardiomyopathy
人类心肌病深度突变扫描的结构功能关系
- 批准号:
9884435 - 财政年份:2020
- 资助金额:
$ 355万 - 项目类别:
Structure function relationships from deep mutational scanning in human cardiomyopathy
人类心肌病深度突变扫描的结构功能关系
- 批准号:
10364603 - 财政年份:2020
- 资助金额:
$ 355万 - 项目类别:
What comes next? Engaging stakeholders in governance of participant data and relationships during the sunset of large genomic medicine research initiatives
接下来是什么?
- 批准号:
10162151 - 财政年份:2018
- 资助金额:
$ 355万 - 项目类别:
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