Integration and interoperability of complex data and tissues from the human brain

人脑复杂数据和组织的集成和互操作性

基本信息

批准号：
10789107
负责人：
JEFFREY A LOEB
金额：
$ 106.8万
依托单位：
UNIVERSITY OF ILLINOIS AT CHICAGO
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：
2023-09-20 至 2026-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10789107
关键词：
3-Dimensional Adoption Adult Age Award Biological Markers Blood Tests Brain Brain Diseases Brain Neoplasms Brain imaging Chicago Childhood Cities Clinical Clinical Research Collaborations Common Data Element Complex Computer Systems Computer software Data Data Collection Data Element Data Set Databases Diagnosis Digital Imaging and Communications in Medicine Disparate E-learning Education Electrodes Electroencephalography Electronic Health Record Electrophysiology (science)Epilepsy Equipment and supply inventories Genetic Genomics Goals Grant Health Histology Histopathology Home Human Illinois Image Informatics Information Systems Institution Lesion Link Maps Measures Methods Mind Molecular National Center for Advancing Translational Sciences Nature Neuropsychology Ontology Operative Surgical Procedures Patients Pediatric Hospitals Phase Physicians Private Sector Procedures Proteomics Protocols documentation Rare Diseases Research Research Personnel Sampling Secure Seizures Site Standardization System Techniques Temporal Lobe Epilepsy Testing Tissue Banks Tissue Sample Tissues Training Training Activity Training Programs Translational Research Universities Visualization Work analytical tool brain surgery brain tissue clinical care clinical translation cohort community engagement complex data computerized data processing data de-identification data harmonization data integration data modeling data sharing data standards data visualization data warehouse electronic health data experience federated data human data human tissue image visualization imaging modality improved in vivo innovation interoperability metabolomics multimodal data multimodality neuropathology novel therapeutics open source tool patient engagement patient population programs success surgery outcome therapeutic target three-dimensional modeling tissue processing tool treatment planning user-friendly virtual virtual human

3-Dimensional Adoption Adult Age Award Biological Markers Blood Tests Brain Brain Diseases Brain Neoplasms Brain imaging Chicago Childhood Cities Clinical Clinical Research Collaborations Common Data Element Complex Computer Systems Computer software Data Data Collection Data Element Data Set Databases Diagnosis Digital Imaging and Communications in Medicine Disparate E-learning Education Electrodes Electroencephalography Electronic Health Record Electrophysiology (science)Epilepsy Equipment and supply inventories Genetic Genomics Goals Grant Health Histology Histopathology Home Human Illinois Image Informatics Information Systems Institution Lesion Link Maps Measures Methods Mind Molecular National Center for Advancing Translational Sciences Nature Neuropsychology Ontology Operative Surgical Procedures Patients Pediatric Hospitals Phase Physicians Private Sector Procedures Proteomics Protocols documentation Rare Diseases Research Research Personnel Sampling Secure Seizures Site Standardization System Techniques Temporal Lobe Epilepsy Testing Tissue Banks Tissue Sample Tissues Training Training Activity Training Programs Translational Research Universities Visualization Work analytical tool brain surgery brain tissue clinical care clinical translation cohort community engagement complex data computerized data processing data de-identification data harmonization data integration data modeling data sharing data standards data visualization data warehouse electronic health data experience federated data human data human tissue image visualization imaging modality improved in vivo innovation interoperability metabolomics multimodal data multimodality neuropathology novel therapeutics open source tool patient engagement patient population programs success surgery outcome therapeutic target three-dimensional modeling tissue processing tool treatment planning user-friendly virtual virtual human

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项目摘要

Project Summary: Health information is siloed and often suffers from the sheer volume and the heterogeneous nature of complex datasets. This is in stark contrast to what a physician does when a patient is evaluated. Data from electronic health records, blood tests, imaging, electrical recordings, genomic studies, and neuropsychological measures are combined in the clinician’s mind to find the best diagnosis and treatment plan. Nowhere is this more challenging than for studies of the human brain. We have developed a one-of-a-kind human brain tissue bank where each brain sample is spatially linked to a comprehensive multimodal dataset using standardized tissue processing techniques using a home-grown software platform called INTUITION. Highly curated and integrated data are assembled from patients to help both in clinical care and provide a unique research platform for the human brain that is linked to fresh human brain tissues samples. Many patients undergo complex, multistep brain surgeries to treat their seizures. Studies using these standardized tissue methods and INTUITION software have already led to important new discoveries including molecular (genomic, proteomic, metabolomic) biomarkers, imaging methods, brain network discovery, and therapeutic targets that would otherwise not have been identified. The major goals for this collaborative innovation award are to adapt, modify, and expand INTUITION and a brain tissue collection educational program into a standardized, virtual tissue bank and federated data platform for dissemination through 3 CTSA hubs with teams at 5 collaborating institutions in the city of Chicago. The platform leverages common data elements and will use a team of experts to develop new ones. As part of this ambitious project, we will optimize brain image visualization and EEG tools, work with a highly diverse patient population that spans the age spectrum (pediatric and adult) and develop user-friendly tools that will be sustainable because of their combined utility for clinical care and research. Given the extraordinary value of highly curated fresh human brain tissues and the fact that brain surgeries are becoming less invasive, it is important that we take full advantage of these priceless tissues as soon as possible. We will develop a hands-on education program followed by web-based training modules for human brain tissue localization and processing in parallel with standardized data processing, storage and upload methods for images and EEG studies at each of the 5 sites. This is especially important for rare brain disorders that require collaboration from many centers to create a standardized, virtual pool of tissue samples and associated data.

项目摘要：健康信息是孤立的，经常遭受巨大的体积和复杂性的异质性数据集。这与评估患者时物理学的作用形成鲜明对比。来自电子的数据健康记录，血液测试，成像，电记录，基因组研究和神经心理学测量在临床上结合在一起，以找到最佳的诊断和治疗计划。没有更多的地方比对人脑的研究具有挑战性。我们已经开发了一种独一无二的人脑组织库使用标准化组织将每个大脑样品在空间上链接到综合的多模式数据集使用称为Intuition的本土软件平台处理技术。高度策划和整合数据是从患者组装的，以帮助临床护理，并为与新鲜的人脑组织样品有关的人脑。许多患者经历了复杂的多阶段脑部手术以治疗其癫痫发作。使用这些标准化组织方法和直觉软件的研究已经导致了重要的新发现，包括分子（基因组，蛋白质组学，代谢组）生物标志物，成像方法，大脑网络发现和治疗靶标本来没有被确定。该协作创新奖的主要目标是适应，修改和扩展直觉和脑组织收集教育计划，以标准化的虚拟组织库和通过3个CTSA枢纽传播的联合数据平台，与5个合作机构的团队合作芝加哥市。该平台利用通用数据元素，并将使用专家团队来开发新的一个。作为这个雄心勃勃的项目的一部分，我们将优化大脑形象可视化和脑电图工具，与高度多样化的患者群体跨越年龄谱（小儿和成人）并发展用户友好由于其合并的临床护理和研究实用性，其工具将是可持续的。鉴于高度精心策划的新鲜人脑组织的非凡价值以及大脑手术变得侵入性较小，重要的是要尽快利用这些无价的组织。我们将制定动手教育计划，然后是针对人脑组织的基于网络的培训模块与标准化的数据处理，存储和上传方法并行的本地化和处理图像和脑电图在5个地点中的每个站点中的每个研究。这对于需要的稀有脑疾病尤其重要来自许多中心的合作，创建标准化的虚拟组织样品和相关数据。