Insights

Genetic Data

Machine Learning to Evaluate Genetic Data Held to be Patent Ineligible, PTAB Litigation Blog

Visit the PTAB Litigation Blog.

The Federal Circuit recently affirmed a Patent Trial and Appeal Board (PTAB) finding that certain claims related to genetic inheritance data analysis are patent ineligible.  The claims at issue sought to protect applying a machine learning model to a number of datasets for haplotype phasing.  The Court’s decision in In re: Board of Trustees of the Leland Stanford Junior University provides further insight into the kinds of claims that fail to survive the two-step Alice analysis under 35 U.S.C. § 101.  Under step one of Alice, the Court found the claims at issue were directed towards abstract mathematical calculations and statistical modeling.  The claimed steps of “storing” and “providing” calculated data failed to transform the abstract idea under step two of Alice into patent eligible subject matter.

Read the full article at ptablitigationblog.com.

Jones Day publications should not be construed as legal advice on any specific facts or circumstances. The contents are intended for general information purposes only and may not be quoted or referred to in any other publication or proceeding without the prior written consent of the Firm, to be given or withheld at our discretion. To request reprint permission for any of our publications, please use our “Contact Us” form, which can be found on our website at www.jonesday.com. The mailing of this publication is not intended to create, and receipt of it does not constitute, an attorney-client relationship. The views set forth herein are the personal views of the authors and do not necessarily reflect those of the Firm.

 
We use cookies to deliver our online services. Details of the cookies and other tracking technologies we use and instructions on how to disable them are set out in our Cookies Policy. By using this website you consent to our use of cookies.