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

Authors :
Pantanowitz L
Bui MM
Chauhan C
ElGabry E
Hassell L
Li Z
Parwani AV
Salama ME
Sebastian MM
Tulman D
Vepa S
Becich MJ
Source :
Academic pathology [Acad Pathol] 2022 May 30; Vol. 9 (1), pp. 100026. Date of Electronic Publication: 2022 May 30 (Print Publication: 2022).
Publication Year :
2022

Abstract

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.<br /> (© 2022 Published by Elsevier Inc. on behalf of Association of Pathology Chairs.)

Details

Language :
English
ISSN :
2374-2895
Volume :
9
Issue :
1
Database :
MEDLINE
Journal :
Academic pathology
Publication Type :
Academic Journal
Accession number :
35669406
Full Text :
https://doi.org/10.1016/j.acpath.2022.100026