Patents by Inventor Dimitris Bertsimas

Dimitris Bertsimas 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).

  • DISEASE DIAGNOSIS USING SPECTROSCOPY AND MACHINE LEARNING
    Publication number: 20220011219
    Abstract: Aspects of the present application relate to techniques of diagnosing whether a pathogen (e.g., SARS-CoV-2) is present in a subject using infrared (IR) spectroscopy and machine learning techniques. The techniques use spectral data obtained from performing IR spectroscopy on a biological sample (e.g., saliva or nasal sample, or genetic material extracted therefrom) to generate a set of feature values. The feature values are provided as input to a machine learning model to obtain output indicating whether the pathogen is present in the biological sample. The output of the machine learning model may be used to determine a diagnosis result for a subject.
    Type: Application
    Filed: July 6, 2021
    Publication date: January 13, 2022
    Applicants: Massachusetts Institute of Technology, Mohammed VI Polytechnic University, Laboratoire Anoual
    Inventors: Dimitris Bertsimas, Driss Lahlou Kitane, Nawfel Azami, Jamal Fekkak, Rachid Benhida, Salma Loukman, Nabila Marchoudi
  • DISEASE DIAGNOSIS USING SPECTROSCOPY AND MACHINE LEARNING
    Publication number: 20220011224
    Abstract: Aspects of the present application relate to techniques of diagnosing whether a pathogen (e.g., SARS-CoV-2) is present in a subject using infrared (IR) spectroscopy and machine learning techniques. The techniques use spectral data obtained from performing IR spectroscopy on a biological sample (e.g., saliva or nasal sample, or genetic material extracted therefrom) to generate a set of feature values. The feature values are provided as input to a machine learning model to obtain output indicating whether the pathogen is present in the biological sample. The output of the machine learning model may be used to determine a diagnosis result for a subject.
    Type: Application
    Filed: July 6, 2021
    Publication date: January 13, 2022
    Applicants: Massachusetts Intitute of Technology, Mohammed VI Polytechnic University, Laboratoire Anoual
    Inventors: Dimitris Bertsimas, Driss Lahlou Kitane, Nawfel Azami, Jamal Fekkak, Rachid Benhida, Salma Loukman, Nabila Marchoudi