Assessing Strategies to Delay Generic Drug Entry
Moderator: Scott Hemphill Panelists: Robin Feldman, Jay Lefkowitz, Sean Nicholson, and Judge William G. Young Download a PDF version of this article here. On March 10, 2021, our journal partnered…
Moderator: Scott Hemphill Panelists: Robin Feldman, Jay Lefkowitz, Sean Nicholson, and Judge William G. Young Download a PDF version of this article here. On March 10, 2021, our journal partnered…
Moderator: Arti Rai Panelists: Rebecca S. Eisenberg, Tahir Amin, Henry Hadad, and Rachel Sachs Download a PDF version of this article here. On March 10, 2021, our journal partnered with…
Moderator: Christopher Morten Panelists: Barry Datlof, Amy Kapczynski, Donna Meuth, and Zain Rizvi Download a PDF version of this article here. On March 10, 2021, our journal partnered with the…
Moderator: Lisa Ouellette Panelists: Michael Abramowicz, Daniel Hemel, and Bhaven Sampat Download a PDF version of this article here. On March 10, 2021, our journal partnered with the Engelberg Center…
On March 10, 2021, our journal partnered with the Engelberg Center on Innovation Law and Policy to host a symposium addressing the role and impact of U.S. innovation policy on…
William E. Kovacic*, Robert C. Marshall**, and Michael J. Meurer*** Download a PDF version of this article here. Read JIPEL’s letter regarding data validation for this article here. Antitrust law…
Patent term extension (PTE) is a statutorily-based mechanism to compensate inventors for patent term loss due to regulatory delay during the drug approval process at the United States Food and…
Since 1996, the annual spending on drugs per capita in the U.S. has been the highest among all the developed countries. In 2017, the number reached $1220 per person in…
There is a latent conflict between the law of employee invention assignment contracts and the Copyright Act’s work for hire doctrine. Countless employees sign contracts specifying that, in most cases,…
From personalized medical diagnostics to election prediction, recent advancements in machine learning enables unprecedented, powerful applications of big data. Machine learning users can extract insights hidden in massive amounts of…