862
Views
0
CrossRef citations to date
0
Altmetric
Perspective

Combating Complexity: Partnerships in Personalized Medicine

&
Pages 387-396 | Published online: 06 Jun 2013
 

Abstract

We are entering an era of unprecedented complexity in personalized medicine. Therapeutic targets, biomarker detection technologies, regulatory and reimbursement pathways, and commercialization strategies have all reached new levels of intricacy. These complexities are occurring in the context of the current economic environment, in which outsourcing offers a way for innovators to decrease large internal investment. These factors combine to create a perfect setting for a partnership explosion. Now, and as we move into the future, it will be critical for innovators to access outside expertise with a diverse set of partners in order to bring novel personalized medicine products to the market successfully and economically. Only companies that truly embrace this trend and adopt a collaborative approach will emerge successful.

Financial&competing interests disclosure

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

No writing assistance was utilized in the production of this manuscript.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 445.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.