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Rules of engagement: Promoting academic-industry partnership in the era of digital pathology and artificial intelligence

Academic industry partnership (AIP) represents an important alliance between academic researchers and industry that helps translate technology and complete the innovation cycle within academic health systems. Despite diverging missions and skillsets the culture for academia and industry is changing...

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Detalles Bibliográficos
Autores principales: Pantanowitz, Liron, Bui, Marilyn M., Chauhan, Chhavi, ElGabry, Ehab, Hassell, Lewis, Li, Zaibo, Parwani, Anil V., Salama, Mohamed E., Sebastian, Manu M., Tulman, David, Vepa, Suryanarayana, Becich, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163695/
https://www.ncbi.nlm.nih.gov/pubmed/35669406
http://dx.doi.org/10.1016/j.acpath.2022.100026
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author Pantanowitz, Liron
Bui, Marilyn M.
Chauhan, Chhavi
ElGabry, Ehab
Hassell, Lewis
Li, Zaibo
Parwani, Anil V.
Salama, Mohamed E.
Sebastian, Manu M.
Tulman, David
Vepa, Suryanarayana
Becich, Michael J.
author_facet Pantanowitz, Liron
Bui, Marilyn M.
Chauhan, Chhavi
ElGabry, Ehab
Hassell, Lewis
Li, Zaibo
Parwani, Anil V.
Salama, Mohamed E.
Sebastian, Manu M.
Tulman, David
Vepa, Suryanarayana
Becich, Michael J.
author_sort Pantanowitz, Liron
collection PubMed
description Academic industry partnership (AIP) represents an important alliance between academic researchers and industry that helps translate technology and complete the innovation cycle within academic health systems. Despite diverging missions and skillsets the culture for academia and industry is changing in response to the current digital era which is spawning greater collaboration between physicians and businesses in this marketplace. In the field of pathology, this is further driven by the fact that traditional funding sources cannot keep pace with the innovation needed in digital pathology and artificial intelligence. This concept article from the Digital Pathology Association (DPA) describes the rules of engagement for pathology innovators in academia and for their corporate partners to help establish best practices in this critical area. Stakeholders include pathologists, basic and translational researchers, university technology transfer and sponsored research offices, as well as industry relations officers. The article discusses the benefits and pitfalls of an AIP, reviews different partnership models, examines the role of pathologists in the innovation cycle, explains various agreements that may need to be signed, covers conflict of interest and intellectual property issues, and offers recommendations for ensuring successful partnerships.
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spelling pubmed-91636952022-06-05 Rules of engagement: Promoting academic-industry partnership in the era of digital pathology and artificial intelligence Pantanowitz, Liron Bui, Marilyn M. Chauhan, Chhavi ElGabry, Ehab Hassell, Lewis Li, Zaibo Parwani, Anil V. Salama, Mohamed E. Sebastian, Manu M. Tulman, David Vepa, Suryanarayana Becich, Michael J. Acad Pathol Review Article Academic industry partnership (AIP) represents an important alliance between academic researchers and industry that helps translate technology and complete the innovation cycle within academic health systems. Despite diverging missions and skillsets the culture for academia and industry is changing in response to the current digital era which is spawning greater collaboration between physicians and businesses in this marketplace. In the field of pathology, this is further driven by the fact that traditional funding sources cannot keep pace with the innovation needed in digital pathology and artificial intelligence. This concept article from the Digital Pathology Association (DPA) describes the rules of engagement for pathology innovators in academia and for their corporate partners to help establish best practices in this critical area. Stakeholders include pathologists, basic and translational researchers, university technology transfer and sponsored research offices, as well as industry relations officers. The article discusses the benefits and pitfalls of an AIP, reviews different partnership models, examines the role of pathologists in the innovation cycle, explains various agreements that may need to be signed, covers conflict of interest and intellectual property issues, and offers recommendations for ensuring successful partnerships. Elsevier 2022-05-30 /pmc/articles/PMC9163695/ /pubmed/35669406 http://dx.doi.org/10.1016/j.acpath.2022.100026 Text en © 2022 Published by Elsevier Inc. on behalf of Association of Pathology Chairs. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Pantanowitz, Liron
Bui, Marilyn M.
Chauhan, Chhavi
ElGabry, Ehab
Hassell, Lewis
Li, Zaibo
Parwani, Anil V.
Salama, Mohamed E.
Sebastian, Manu M.
Tulman, David
Vepa, Suryanarayana
Becich, Michael J.
Rules of engagement: Promoting academic-industry partnership in the era of digital pathology and artificial intelligence
title Rules of engagement: Promoting academic-industry partnership in the era of digital pathology and artificial intelligence
title_full Rules of engagement: Promoting academic-industry partnership in the era of digital pathology and artificial intelligence
title_fullStr Rules of engagement: Promoting academic-industry partnership in the era of digital pathology and artificial intelligence
title_full_unstemmed Rules of engagement: Promoting academic-industry partnership in the era of digital pathology and artificial intelligence
title_short Rules of engagement: Promoting academic-industry partnership in the era of digital pathology and artificial intelligence
title_sort rules of engagement: promoting academic-industry partnership in the era of digital pathology and artificial intelligence
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163695/
https://www.ncbi.nlm.nih.gov/pubmed/35669406
http://dx.doi.org/10.1016/j.acpath.2022.100026
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