Following all of the latest IP developments in life sciences.

(Co-authored by Dan Rudoy)

Today, companies are developing artificial intelligence (AI) systems to meaningfully analyze the deluge of biomedical data. A substantial investment in building and deploying machine learning (ML) technology—the most active area of AI technology being developed today—warrants carefully considering how to protect the resulting intellectual property (IP), but there are challenges to doing so. In this post, we explore strategies of protecting IP for ML technology, including what aspects to consider patenting given current and ongoing changes to US patent law, and when to consider trade secret protection.