Patents by Inventor Derek Higgins

Derek Higgins has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240175000
    Abstract: An enzyme composition containing a protease combination or a protease mixture having neutral metalloprotease and serine alkaline protease activity, and an amylase. Feed compositions, additives and formulations containing the enzyme composition in methods for improving digestibility of proteins in an animal diet or animal feed, as well as optimizing the nutritional value of an animal diet or animal feed.
    Type: Application
    Filed: February 8, 2024
    Publication date: May 30, 2024
    Applicant: Kerry Group Services International Limited
    Inventors: Niall HIGGINS, Jacques GEORIS, Sara Llamas MOYA, Nathan MARSHALL, Derek CARR, Rachel MALONEY, Laura GUARAS
  • Patent number: 11926855
    Abstract: An enzyme composition containing a protease combination or a protease mixture having neutral metalloprotease and serine alkaline protease activity, and an amylase. Feed compositions, additives and formulations containing the enzyme composition in methods for improving digestibility of proteins in an animal diet or animal feed, as well as optimizing the nutritional value of an animal diet or animal feed.
    Type: Grant
    Filed: December 21, 2020
    Date of Patent: March 12, 2024
    Assignee: Kerry Group Services International Limited
    Inventors: Niall Higgins, Jacques Georis, Sara Llamas Moya, Nathan Marshall, Derek Carr, Rachel Maloney, Laura Guaras
  • Publication number: 20210374467
    Abstract: Methods and systems for allowing users operators to quickly and easily (i) review the products of machine learning algorithm(s) to evaluate their accuracy, (ii) make corrections to such products, and (iii) compile feedback for retraining the algorithm(s) are disclosed. An example method includes acquiring a plurality of correlated images of a sample, determining one or more features in each image of the plurality of correlated images, and then determining a relationship between at least a first feature in a first image of the plurality of correlated images and at least a second feature in a second image of the plurality of images.
    Type: Application
    Filed: May 29, 2020
    Publication date: December 2, 2021
    Applicant: FEI Company
    Inventors: Derek Higgins, Brad Larson