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合作规则:在数字病理学和人工智能时代促进学术-产业伙伴关系

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

作者信息

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

机构信息

Department of Pathology, University of Michigan, Ann Arbor, MI, USA.

Department of Pathology, Moffitt Cancer Center, Tampa, FL, USA.

出版信息

Acad Pathol. 2022 May 30;9(1):100026. doi: 10.1016/j.acpath.2022.100026. eCollection 2022.

DOI:10.1016/j.acpath.2022.100026
PMID:35669406
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9163695/
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.

摘要

学术产业伙伴关系(AIP)代表了学术研究人员与产业界之间的重要联盟,有助于在学术健康系统内转化技术并完成创新周期。尽管学术界和产业界的使命和技能集有所不同,但随着当前数字时代的到来,学术界和产业界的文化正在发生变化,这促使医生和企业在这个市场上展开更多合作。在病理学领域,传统资金来源无法跟上数字病理学和人工智能所需的创新步伐,这进一步推动了这种变化。数字病理学协会(DPA)的这篇概念文章描述了学术界病理学创新者及其企业合作伙伴的合作规则,以帮助在这一关键领域建立最佳实践。利益相关者包括病理学家、基础研究和转化研究人员、大学技术转让和资助研究办公室,以及产业关系官员。文章讨论了AIP的好处和陷阱,回顾了不同的合作模式,审视了病理学家在创新周期中的作用,解释了可能需要签署的各种协议,涵盖了利益冲突和知识产权问题,并为确保合作成功提供了建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4863/9163695/ee3c4b23ffea/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4863/9163695/bd615451e0d9/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4863/9163695/ee3c4b23ffea/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4863/9163695/bd615451e0d9/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4863/9163695/ee3c4b23ffea/gr2.jpg

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