Patents by Inventor Neil DALCHAU

Neil DALCHAU 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: 12191002
    Abstract: The present invention relates to a method for determining one or more intrinsic properties of a DNA component from a plurality of measurements obtained over a time period from a cell culture, with each cell comprising the DNA component, wherein the DNA component is involved in transcription of one or more target signals, wherein the plurality of measurements comprises measurements relating to the density of the cell culture over the time period and measurements relating to the amount of the one or more target signals in the cell culture over the time period.
    Type: Grant
    Filed: February 14, 2023
    Date of Patent: January 7, 2025
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Neil Dalchau, Andrew Nicholas John Brojer Phillips, Paul Grant
  • Publication number: 20240185534
    Abstract: A computer-implemented method of generating a mixed reality workflow is described. The method comprises identifying a series of tasks and generating an input task-to-object-mapping by analyzing data that defines a process performed by a first user interacting with objects in a first location. The input task-to-object-mapping that maps each task from the series of tasks to an object used in the respective task. A task-specific non-spatial characteristic of each object in the input task-to-object-mapping is determined and used to map each object in the input task-to-object-mapping to a candidate object identified at a second location to generate an output task-to-object-mapping. The series of tasks, location data defining a position of each candidate object in the second location and output task-to-object-mapping are used to generate a mapped workflow which is then output to a device in the second location.
    Type: Application
    Filed: December 2, 2022
    Publication date: June 6, 2024
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Edward Sean Lloyd RINTEL, Prashant VAIDYANATHAN, Paul Kerr GRANT, Neil DALCHAU, Eyal OFEK, Payod PANDA
  • Publication number: 20230282303
    Abstract: The present invention relates to a method for determining one or more intrinsic properties of a DNA component from a plurality of measurements obtained over a time period from a cell culture, with each cell comprising the DNA component, wherein the DNA component is involved in transcription of one or more target signals, wherein the plurality of measurements comprises measurements relating to the density of the cell culture over the time period and measurements relating to the amount of the one or more target signals in the cell culture over the time period.
    Type: Application
    Filed: February 14, 2023
    Publication date: September 7, 2023
    Inventors: Neil DALCHAU, Andrew Nicholas John Brojer PHILLIPS, Paul GRANT
  • Patent number: 11694766
    Abstract: The present invention relates to a method for determining one or more intrinsic properties of a DNA component from a plurality of measurements obtained over a time period from a cell culture, with each cell comprising the DNA component, wherein the DNA component is involved in transcription of one or more target signals, wherein the plurality of measurements comprises measurements relating to the density of the cell culture over the time period and measurements relating to the amount of the one or more target signals in the cell culture over the time period.
    Type: Grant
    Filed: January 18, 2019
    Date of Patent: July 4, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Neil Dalchau, Andrew Nicholas John Brojer Phillips, Paul Grant
  • Patent number: 11030275
    Abstract: A computer-implemented method comprising: from each of multiple trials, obtaining a respective series of observations y(t) of a subject over time t; using a variational auto encoder to model an ordinary differential equation, ODE, wherein the variational auto encoder comprises an encoder for encoding the observations into a latent vector z and a decoder for decoding the latent vector, the encoder comprising a first neural network and the decoder comprising one or more second neural networks, wherein the ODE as modelled by the decoder has a state x(t) representing one or more physical properties of the subject which result in the observations y, and the decoder models a rate of change of x with respect to time t as a function f of at least x and z: dx/dt=f(x, z); and operating the variational auto encoder to learn the function f based on the obtained observations y.
    Type: Grant
    Filed: January 23, 2019
    Date of Patent: June 8, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Edward Meeds, Geoffrey Roeder, Neil Dalchau
  • Publication number: 20200233920
    Abstract: A computer-implemented method comprising: from each of multiple trials, obtaining a respective series of observations y(t) of a subject over time t; using a variational auto encoder to model an ordinary differential equation, ODE, wherein the variational auto encoder comprises an encoder for encoding the observations into a latent vector z and a decoder for decoding the latent vector, the encoder comprising a first neural network and the decoder comprising one or more second neural networks, wherein the ODE as modelled by the decoder has a state x(t) representing one or more physical properties of the subject which result in the observations y, and the decoder models a rate of change of x with respect to time t as a function f of at least x and z: dx/dt=f(x, z); and operating the variational auto encoder to learn the function f based on the obtained observations y.
    Type: Application
    Filed: January 23, 2019
    Publication date: July 23, 2020
    Inventors: Edward MEEDS, Geoffrey ROEDER, Neil DALCHAU
  • Publication number: 20200005890
    Abstract: The present invention relates to a method for determining one or more intrinsic properties of a DNA component from a plurality of measurements obtained over a time period from a cell culture, with each cell comprising the DNA component, wherein the DNA component is involved in transcription of one or more target signals, wherein the plurality of measurements comprises measurements relating to the density of the cell culture over the time period and measurements relating to the amount of the one or more target signals in the cell culture over the time period.
    Type: Application
    Filed: January 18, 2019
    Publication date: January 2, 2020
    Inventors: Neil DALCHAU, Andrew Nicholas John Brojer PHILLIPS, Paul GRANT