Patents by Inventor Julius Popp

Julius Popp 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).

  • Patent number: 10740655
    Abstract: A system and method automatically predicts an evolution of a cognitive score for a subject by classifying a cognitive data set for the subject into a first or second class by determining the cognitive set of data for each subject of a group, acquiring for each subject a neuropsychological score used for classifying each subject in the first or second class, and training a two-class machine learning classification algorithm on the cognitive data sets of all subjects. For each subject, the cognitive data set is used as input of the algorithm and the obtained classification of the subject as output target of the algorithm. The algorithm classifies each cognitive data set in the first or second class. The evolution of the cognitive score of a subject is predicted by the trained algorithm for automatically classifying a new cognitive dataset for the subject into the first or second class.
    Type: Grant
    Filed: July 2, 2018
    Date of Patent: August 11, 2020
    Assignees: Centre Hospitalier Universitaire Vaudois, Siemens Healthcare GmbH
    Inventors: Jonas Richiardi, Tobias Kober, Julius Popp
  • Publication number: 20200005095
    Abstract: System and method for automatically predicting an evolution of a cognitive score for a subject by classifying a cognitive data set for said subject into either a first class or a second class, the method comprising: determining the cognitive set of data for each subject of a group of subjects; acquiring for each subject a CDRSoB neuropsychological score, wherein said CDRSoB neuropsychological score is used for classifying each subject either in the first class or in the second class; training a two-class machine learning classification algorithm on the cognitive data sets of all subjects, wherein for each subject, the cognitive data set is used as input of the algorithm and the obtained classification of the subject as output target of the algorithm, wherein the two-class machine learning classification algorithm is configured for classifying each cognitive data set either in said first class or in said second class; predicting the evolution of the cognitive score of a subject by using the trained two-clas
    Type: Application
    Filed: July 2, 2018
    Publication date: January 2, 2020
    Inventors: JONAS RICHIARDI, TOBIAS KOBER, JULIUS POPP
  • Publication number: 20190346459
    Abstract: A method for determining whether a subject has an impaired blood-brain barrier (BBB) or is at risk of developing an impaired blood-brain barrier (BBB) comprising determining the level of one or more biomarkers in one or more samples obtained from the subject, wherein the one or more biomarkers comprise serum amyloid A (SAA).
    Type: Application
    Filed: June 22, 2017
    Publication date: November 14, 2019
    Inventors: Gene Bowman, Loic Dayon, Eugenia Migliavacca, Julius Popp