Crowdsourcing Precision Cerebrovascular Health: Imaging and Cloud Seeding A Million Brains Initiative™
Crowdsourcing, an unorthodox approach in medicine, creates an unusual paradigm to study precision cerebrovascular health, eliminating the relative isolation and non-standardized nature of current imaging data infrastructure, while shifting emphasis to the astounding capacity of big data in the cloud...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2016-11-01
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| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fmed.2016.00062/full |
| _version_ | 1818986804398784512 |
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| author | David S Liebeskind |
| author_facet | David S Liebeskind |
| author_sort | David S Liebeskind |
| collection | DOAJ |
| description | Crowdsourcing, an unorthodox approach in medicine, creates an unusual paradigm to study precision cerebrovascular health, eliminating the relative isolation and non-standardized nature of current imaging data infrastructure, while shifting emphasis to the astounding capacity of big data in the cloud. This perspective envisions the use of imaging data of the brain and vessels to orient and seed A Million Brains Initiative™ that may leapfrog incremental advances in stroke and rapidly provide useful data to the sizable population around the globe prone to the devastating effects of stroke and vascular substrates of dementia. Despite such variability in the type of data available and other limitations, the data hierarchy logically starts with imaging and can be enriched with almost endless types and amounts of other clinical and biological data. Crowdsourcing allows an individual to contribute to aggregated data on a population, while preserving their right to specific information about their own brain health. The cloud now offers endless storage, computing prowess and neuroimaging applications for post-processing that is searchable and scalable. Collective expertise is a windfall of the crowd in the cloud and particularly valuable in an area such as cerebrovascular health. The rise of precision medicine, rapidly evolving technological capabilities of cloud computing and the global imperative to limit the public health impact of cerebrovascular disease converge in the imaging of A Million Brains Initiative™. Crowdsourcing secure data on brain health may provide ultimate generalizability, enable focused analyses, facilitate clinical practice and accelerate research efforts. |
| first_indexed | 2024-12-20T18:56:37Z |
| format | Article |
| id | doaj.art-40a6c610386948e1a6826a2f7fa45d01 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-12-20T18:56:37Z |
| publishDate | 2016-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-40a6c610386948e1a6826a2f7fa45d012022-12-21T19:29:29ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2016-11-01310.3389/fmed.2016.00062231904Crowdsourcing Precision Cerebrovascular Health: Imaging and Cloud Seeding A Million Brains Initiative™David S Liebeskind0Neurovascular Imaging Research Core and UCLA Stroke CenterCrowdsourcing, an unorthodox approach in medicine, creates an unusual paradigm to study precision cerebrovascular health, eliminating the relative isolation and non-standardized nature of current imaging data infrastructure, while shifting emphasis to the astounding capacity of big data in the cloud. This perspective envisions the use of imaging data of the brain and vessels to orient and seed A Million Brains Initiative™ that may leapfrog incremental advances in stroke and rapidly provide useful data to the sizable population around the globe prone to the devastating effects of stroke and vascular substrates of dementia. Despite such variability in the type of data available and other limitations, the data hierarchy logically starts with imaging and can be enriched with almost endless types and amounts of other clinical and biological data. Crowdsourcing allows an individual to contribute to aggregated data on a population, while preserving their right to specific information about their own brain health. The cloud now offers endless storage, computing prowess and neuroimaging applications for post-processing that is searchable and scalable. Collective expertise is a windfall of the crowd in the cloud and particularly valuable in an area such as cerebrovascular health. The rise of precision medicine, rapidly evolving technological capabilities of cloud computing and the global imperative to limit the public health impact of cerebrovascular disease converge in the imaging of A Million Brains Initiative™. Crowdsourcing secure data on brain health may provide ultimate generalizability, enable focused analyses, facilitate clinical practice and accelerate research efforts.http://journal.frontiersin.org/Journal/10.3389/fmed.2016.00062/fullCerebrovascular DisordersStrokeimagingdata scienceprecision medicine |
| spellingShingle | David S Liebeskind Crowdsourcing Precision Cerebrovascular Health: Imaging and Cloud Seeding A Million Brains Initiative™ Frontiers in Medicine Cerebrovascular Disorders Stroke imaging data science precision medicine |
| title | Crowdsourcing Precision Cerebrovascular Health: Imaging and Cloud Seeding A Million Brains Initiative™ |
| title_full | Crowdsourcing Precision Cerebrovascular Health: Imaging and Cloud Seeding A Million Brains Initiative™ |
| title_fullStr | Crowdsourcing Precision Cerebrovascular Health: Imaging and Cloud Seeding A Million Brains Initiative™ |
| title_full_unstemmed | Crowdsourcing Precision Cerebrovascular Health: Imaging and Cloud Seeding A Million Brains Initiative™ |
| title_short | Crowdsourcing Precision Cerebrovascular Health: Imaging and Cloud Seeding A Million Brains Initiative™ |
| title_sort | crowdsourcing precision cerebrovascular health imaging and cloud seeding a million brains initiative™ |
| topic | Cerebrovascular Disorders Stroke imaging data science precision medicine |
| url | http://journal.frontiersin.org/Journal/10.3389/fmed.2016.00062/full |
| work_keys_str_mv | AT davidsliebeskind crowdsourcingprecisioncerebrovascularhealthimagingandcloudseedingamillionbrainsinitiative |