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Academic medical centers as innovation ecosystems to address population –omics challenges in precision medicine
While the promise of the Human Genome Project provided significant insights into the structure of the human genome, the complexities of disease at the individual level have made it difficult to utilize –omic information in clinical decision making. Some of the existing constraints have been minimize...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815198/ https://www.ncbi.nlm.nih.gov/pubmed/29448963 http://dx.doi.org/10.1186/s12967-018-1401-2 |
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author | Silva, Patrick J. Schaibley, Valerie M. Ramos, Kenneth S. |
author_facet | Silva, Patrick J. Schaibley, Valerie M. Ramos, Kenneth S. |
author_sort | Silva, Patrick J. |
collection | PubMed |
description | While the promise of the Human Genome Project provided significant insights into the structure of the human genome, the complexities of disease at the individual level have made it difficult to utilize –omic information in clinical decision making. Some of the existing constraints have been minimized by technological advancements that have reduced the cost of sequencing to a rate far in excess of Moore’s Law (a halving in cost per unit output every 18 months). The reduction in sequencing costs has made it economically feasible to create large data commons capturing the diversity of disease across populations. Until recently, these data have primarily been consumed in clinical research, but now increasingly being considered in clinical decision- making. Such advances are disrupting common diagnostic business models around which academic medical centers (AMCs) and molecular diagnostic companies have collaborated over the last decade. Proprietary biomarkers and patents on proprietary diagnostic content are no longer driving biomarker collaborations between industry and AMCs. Increasingly the scope of the data commons and biorepositories that AMCs can assemble through a nexus of academic and pharma collaborations is driving a virtuous cycle of precision medicine capabilities that make an AMC relevant and highly competitive. A rebalancing of proprietary strategies and open innovation strategies is warranted to enable institutional precision medicine asset portfolios. The scope of the AMC’s clinical trial and research collaboration portfolios with industry are increasingly dependent on the currency of data, and less on patents. Intrapeneurial support of internal service offerings, clinical trials and clinical laboratory services for example, will be important new points of emphasis at the academic-industry interface. Streamlining these new models of industry collaboration for AMCs are a new area for technology transfer offices to offer partnerships and to add value beyond the traditional intellectual property offering. |
format | Online Article Text |
id | pubmed-5815198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58151982018-02-21 Academic medical centers as innovation ecosystems to address population –omics challenges in precision medicine Silva, Patrick J. Schaibley, Valerie M. Ramos, Kenneth S. J Transl Med Review While the promise of the Human Genome Project provided significant insights into the structure of the human genome, the complexities of disease at the individual level have made it difficult to utilize –omic information in clinical decision making. Some of the existing constraints have been minimized by technological advancements that have reduced the cost of sequencing to a rate far in excess of Moore’s Law (a halving in cost per unit output every 18 months). The reduction in sequencing costs has made it economically feasible to create large data commons capturing the diversity of disease across populations. Until recently, these data have primarily been consumed in clinical research, but now increasingly being considered in clinical decision- making. Such advances are disrupting common diagnostic business models around which academic medical centers (AMCs) and molecular diagnostic companies have collaborated over the last decade. Proprietary biomarkers and patents on proprietary diagnostic content are no longer driving biomarker collaborations between industry and AMCs. Increasingly the scope of the data commons and biorepositories that AMCs can assemble through a nexus of academic and pharma collaborations is driving a virtuous cycle of precision medicine capabilities that make an AMC relevant and highly competitive. A rebalancing of proprietary strategies and open innovation strategies is warranted to enable institutional precision medicine asset portfolios. The scope of the AMC’s clinical trial and research collaboration portfolios with industry are increasingly dependent on the currency of data, and less on patents. Intrapeneurial support of internal service offerings, clinical trials and clinical laboratory services for example, will be important new points of emphasis at the academic-industry interface. Streamlining these new models of industry collaboration for AMCs are a new area for technology transfer offices to offer partnerships and to add value beyond the traditional intellectual property offering. BioMed Central 2018-02-15 /pmc/articles/PMC5815198/ /pubmed/29448963 http://dx.doi.org/10.1186/s12967-018-1401-2 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Silva, Patrick J. Schaibley, Valerie M. Ramos, Kenneth S. Academic medical centers as innovation ecosystems to address population –omics challenges in precision medicine |
title | Academic medical centers as innovation ecosystems to address population –omics challenges in precision medicine |
title_full | Academic medical centers as innovation ecosystems to address population –omics challenges in precision medicine |
title_fullStr | Academic medical centers as innovation ecosystems to address population –omics challenges in precision medicine |
title_full_unstemmed | Academic medical centers as innovation ecosystems to address population –omics challenges in precision medicine |
title_short | Academic medical centers as innovation ecosystems to address population –omics challenges in precision medicine |
title_sort | academic medical centers as innovation ecosystems to address population –omics challenges in precision medicine |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815198/ https://www.ncbi.nlm.nih.gov/pubmed/29448963 http://dx.doi.org/10.1186/s12967-018-1401-2 |
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