The Record

Robin Feldman, Vern Norviel
January 8, 2016

Roughly twenty years ago, newspaper headlines were packed with stories about Dolly the sheep — the first cloned mammal. More recently, in 2014, In re Roslin[iii] finally laid the patent claims related to Dolly to rest.  Although Roslin speaks specifically to cloning technologies, the saga highlights an essential problem in the current judicial approach to patenting life science inventions.  We will look first at the history of Roslin and then at its implications for patent law.

Jessica L. Roberts, Valerie Gutmann Koch
January 6, 2016

Inconsistencies in the Common Rule and the Law

Eric Lindenfeld, Jasper L. Tran
December 11, 2015

The 3D printing of medical devices is now a reality. The rapidly expanding field allows for incredible improvements in patient care, especially with regard to cost-effectiveness, productivity, and a greater democratization and collaboration of design and manufacturing. 3D printing technologies have also expanded capabilities for mass customization of products.[i] For example, using only photographs, custom-fit hearing aids can now be designed in a matter of hours to mold perfectly to a patient’s ear canals.

John S. Ehrett, J.D. Candidate, Yale Law School
October 27, 2015

Introduction

As online communications have proliferated, discursive norms unique to the medium have emerged. The use of emoticons and, more recently, emojis—pictograms often conveying multiple layers of semantic meaning—has figured prominently in this process.[i] In the normal course of online interaction, Internet users routinely parse the symbolic significance of various emoticons and emojis.

Omer Tene, Vice President of Research and Education, IAPP
November 28, 2015

For more than a decade, the policy debates around informational privacy have focused on the fickle notion of identifiability. Companies and government agencies sought to collect and use personal information to deliver services, improve products and conduct research, while at the same time protecting individuals’ privacy by de-identifying (anonymizing) their data. Surely, by reliably unlinking personal information from individual identities, organizations could reduce the privacy impact of their actions.