Patents by Inventor Ahmad MONIRI

Ahmad MONIRI 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: 20240290428
    Abstract: Disclosed herein are methods and systems for determining optimal primer sets for a multiplex assay, each of the optimal primer sets intended to amplify one or more targets. The method comprises obtaining amplification data from a plurality of preparatory assays. The amplification data describes at least the amplification of a first target of the one or more targets by a first primer set in a first preparatory assay, the amplification of the first target amplified by a second primer set in a second preparatory assay, the amplification of a second target of the one or more targets by the first primer set in a third preparatory assay, and the amplification of the second target by the second primer set in a fourth preparatory assay. The method further comprises determining a plurality of similarity metrics, each similarity metric being indicative of a degree of similarity between the amplification data produced by one of the plurality of preparatory assays compared to another one of the preparatory assays.
    Type: Application
    Filed: June 10, 2022
    Publication date: August 29, 2024
    Inventors: Jesus RODRIGUEZ MANZANO, Ahmad MONIRI, Luca MIGLIETTA, Pantelis GEORGIOU
  • Publication number: 20230326553
    Abstract: Disclosed herein is a computer-implemented method of identifying the presence of any of a plurality of prospective target nucleic acids in a solution containing a biological sample. The method comprises receiving amplification curve data indicative of an amplification reaction associated with at least one unknown nucleic acid present in the solution; processing the received data, wherein the processing comprises inputting input data into a machine learning model trained to identify any of the plurality of prospective target nucleic acids, wherein the input data is based on the amplification curve data and is indicative of the degree of amplification of the at least one unknown nucleic acid over time during the amplification reaction; and based on the processing, determining that the at least one unknown nucleic acid is one of the plurality of prospective nucleic acids, and thereby identifying the presence of at least one of the plurality of target nucleic acids in the solution.
    Type: Application
    Filed: August 20, 2021
    Publication date: October 12, 2023
    Inventors: Jesus RODRIGUEZ MANZANO, Ahmad MONIRI, Luca MIGLIETTA, Pantelis GEORGIOU
  • Publication number: 20230326600
    Abstract: The present application relates to processor-implemented methods for determining a diagnostic outcome comprising receiving signals generated by an array of electro-chemical sensors in solution with a biological sample from a subject, each sensor of the array of electro-chemical sensors configured to generate a signal in response to one or more amplification reactions occurring in the solution, the one or more amplification reactions being indicative of the presence of an RNA host-response; processing the signals received from the array of electro-chemical sensors; based on the processing, assigning at least one value to the sample, the at least one value being indicative of a likelihood of the diagnostic outcome; based on the at least one assigned value, determining the diagnostic outcome.
    Type: Application
    Filed: August 24, 2021
    Publication date: October 12, 2023
    Inventors: Ivana PENNISI, Jesus RODRIGUEZ MANZANO, Nicholaos MISCOURIDES, Nicolas MOSER, Dominic HABGOOD-COOTE, Myrsini KAFOROU, Jethro A. HERBERG, Michael LEVIN, Pantelis GEORGIOU, Ahmad MONIRI
  • Publication number: 20210257051
    Abstract: This disclosure relates to methods, systems, computer programs and computer-readable media for the multidimensional analysis of real-time amplification data. A framework is presented that shows that the benefits of standard curves extend beyond absolute quantification when observed in a multidimensional environment. Relating to the field of Machine Learning, the disclosed method combines multiple extracted features (e.g. linear features) in order to analyse real-time amplification data using a multidimensional view. The method involves two new concepts: the multidimensional standard curve and its ‘home’, the feature space. Together they expand the capabilities of standard curves, allowing for simultaneous absolute quantification, outlier detection and providing insights into amplification kinetics.
    Type: Application
    Filed: June 7, 2019
    Publication date: August 19, 2021
    Applicant: IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
    Inventors: Pantelis GEORGIOU, Ahmad MONIRI, Jesus RODRIGUEZ-MANZANO