Patents by Inventor Pascal Pfister

Pascal Pfister 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: 20250087354
    Abstract: The present disclosure relates generally to systems and processes for assessing and differentiating asthma and chronic obstructive pulmonary disease (COPD) in a patient, and more specifically to computer-based systems and processes for providing a predicted diagnosis of asthma and/or COPD. In accordance with one or more examples, a computing system receives a set of patient data corresponding to a first patient and determines whether the set of patient data satisfies a set of one or more data-correlation criteria. If the set of one or more data-correlation criteria are satisfied, the computing system applies a first diagnostic model to the set of patient data and determines a first predicted diagnosis of asthma and/or COPD. If the set of one or more data-correlation criteria are not satisfied, the computing system applies a second diagnostic model to the set of patient data and determines a second predicted diagnosis of asthma and/or COPD.
    Type: Application
    Filed: May 17, 2024
    Publication date: March 13, 2025
    Inventors: Paul Mastoridis, Eli Goldberg, Nicholas Vincent Iannotti, Hui CAO, Pascal Pfister, Eric Hwai-Yu Yang
  • Publication number: 20220181023
    Abstract: The present disclosure relates generally to systems and processes for assessing and differentiating asthma and chronic obstructive pulmonary disease (COPD) in a patient, and more specifically to computer-based systems and processes for providing a predicted diagnosis of asthma and/or COPD. In accordance with one or more examples, a computing system receives a set of patient data corresponding to a first patient and determines whether the set of patient data satisfies a set of one or more data-correlation criteria. If the set of one or more data-correlation criteria are satisfied, the computing system applies a first diagnostic model to the set of patient data and determines a first predicted diagnosis of asthma and/or COPD. If the set of one or more data-correlation criteria are not satisfied, the computing system applies a second diagnostic model to the set of patient data and determines a second predicted diagnosis of asthma and/or COPD.
    Type: Application
    Filed: March 10, 2020
    Publication date: June 9, 2022
    Inventors: Paul Mastoridis, Eli Goldberg, Nicholas Vincent Iannotti, Hui CAO, Pascal Pfister, Eric Hwai-Yu Yang
  • Publication number: 20050209339
    Abstract: The invention provides a method of treating chronic rhinosinusitis such as allergic fungal sinusitis comprising daily oral administration of a composition from more than 500 mg to about 800 mg, preferably about 625 mg or 725 mg terbinafine base equivalent as hydrochloride, or a molar equivalent in other acid addition salt or free base form, for a duration effective to reduce the symptoms of, or eliminate chronic rhinosinusitis; it further concerns the use of terbinafine in the manufacture of a corresponding medicament, and packs containing a plurality of corresponding compositions and medicaments.
    Type: Application
    Filed: July 1, 2003
    Publication date: September 22, 2005
    Inventors: Ercem Atillasoy, Steven Bradford, Lynn Day, Pascal Pfister, Amir Tavakkol