Patents by Inventor Aaron Sherman

Aaron Sherman 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: 20240338376
    Abstract: An activity of interest is modeled by a non-stationary discrete stochastic process, such as a pattern of mutations across a cancer genome. Initially, input genomic data is used to train a model to predict rate parameters and their associated uncertainty estimation for each of a set of process regions. For any arbitrary set of indexed positions of the stochastic process that are identified in an information query, the rate parameters and their associated estimation uncertainties are scaled using the model to obtain a distribution of the events of interest and their associated estimation uncertainties for the set of indexed positions. In response to a search query associated with one or more base-pairs, a result is then returned. The result, which represents deviations between the estimated and observed mutation rates, is used to identify genomic elements that have more mutations than expected and therefore constitute previously unknown driver mutations.
    Type: Application
    Filed: June 18, 2024
    Publication date: October 10, 2024
    Inventors: Bonnie Berger Leighton, Maxwell Aaron Sherman, Adam Uri Yaari
  • Patent number: 12013863
    Abstract: An activity of interest is modeled by a non-stationary discrete stochastic process, such as a pattern of mutations across a cancer genome. Initially, input genomic data is used to train a model to predict rate parameters and their associated uncertainty estimation for each of a set of process regions. For any arbitrary set of indexed positions of the stochastic process that are identified in an information query, the rate parameters and their associated estimation uncertainties are scaled using the model to obtain a distribution of the events of interest and their associated estimation uncertainties for the set of indexed positions. In one practical application, and in response to a search query associated with one or more base-pairs, a result is then returned. The result, which represents deviations between the estimated and observed mutation rates, is used to identify genomic elements that have more mutations than expected and therefore constitute previously unknown driver mutations.
    Type: Grant
    Filed: April 18, 2022
    Date of Patent: June 18, 2024
    Inventors: Bonnie Berger Leighton, Maxwell Aaron Sherman, Adam Uri Yaari
  • Patent number: 11651949
    Abstract: A spherical ion trap includes a substrate and an ion aperture; two RF electrodes in electrostatic communication with an ion trapping region; RF ground electrodes in electrostatic communication with the ion trapping region; and the ion trapping region bounded by opposing RF electrodes and the RF ground electrodes, such that: the ion trapping region is disposed within the ion aperture and receives ions that are selectively trapped in the ion trapping region in response to receipt of DC and RF voltages by the RF electrodes, and receipt of the DC voltages by RF ground electrodes, and the first RF electrode, the second RF electrode, the RF ground electrodes, and the ion trapping region are disposed in the same plane within the ion aperture.
    Type: Grant
    Filed: February 1, 2022
    Date of Patent: May 16, 2023
    Assignee: GOVERNMENT OF THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY OF COMMERCE
    Inventors: David Ray Leibrandt, David Brian Hume, Roger Charles Brown, Jeffrey Aaron Sherman
  • Publication number: 20220374425
    Abstract: An activity of interest is modeled by a non-stationary discrete stochastic process, such as a pattern of mutations across a cancer genome. Initially, input genomic data is used to train a model to predict rate parameters and their associated uncertainty estimation for each of a set of process regions. For any arbitrary set of indexed positions of the stochastic process that are identified in an information query, the rate parameters and their associated estimation uncertainties are scaled using the model to obtain a distribution of the events of interest and their associated estimation uncertainties for the set of indexed positions. In one practical application, and in response to a search query associated with one or more base-pairs, a result is then returned. The result, which represents deviations between the estimated and observed mutation rates, is used to identify genomic elements that have more mutations than expected and therefore constitute previously unknown driver mutations.
    Type: Application
    Filed: April 18, 2022
    Publication date: November 24, 2022
    Inventors: Bonnie Berger Leighton, Maxwell Aaron Sherman, Adam Uri Yaari
  • Publication number: 20220246419
    Abstract: A spherical ion trap includes a substrate and an ion aperture; two RF electrodes in electrostatic communication with an ion trapping region; RF ground electrodes in electrostatic communication with the ion trapping region; and the ion trapping region bounded by opposing RF electrodes and the RF ground electrodes, such that: the ion trapping region is disposed within the ion aperture and receives ions that are selectively trapped in the ion trapping region in response to receipt of DC and RF voltages by the RF electrodes, and receipt of the DC voltages by RF ground electrodes, and the first RF electrode, the second RF electrode, the RF ground electrodes, and the ion trapping region are disposed in the same plane within the ion aperture.
    Type: Application
    Filed: February 1, 2022
    Publication date: August 4, 2022
    Inventors: David Ray Leibrandt, David Brian Hume, Roger Charles Brown, Jeffrey Aaron Sherman
  • Patent number: 11308101
    Abstract: An activity of interest is modeled by a non-stationary discrete stochastic process, such as a pattern of mutations across a cancer genome. Initially, input genomic data is used to train a model to predict rate parameters and their associated uncertainty estimation for each of a set of process regions. For any arbitrary set of indexed positions of the stochastic process that are identified in an information query, the rate parameters and their associated estimation uncertainties are scaled using the model to obtain a distribution of the events of interest and their associated estimation uncertainties for the set of indexed positions. In one practical application, and in response to a search query associated with one or more base-pairs, a result is then returned. The result, which represents deviations between the estimated and observed mutation rates, is used to identify genomic elements that have more mutations than expected and therefore constitute previously unknown driver mutations.
    Type: Grant
    Filed: August 27, 2021
    Date of Patent: April 19, 2022
    Inventors: Bonnie Berger Leighton, Maxwell Aaron Sherman, Adam Uri Yaari
  • Publication number: 20220092065
    Abstract: An activity of interest is modeled by a non-stationary discrete stochastic process, such as a pattern of mutations across a cancer genome. Initially, input genomic data is used to train a model to predict rate parameters and their associated uncertainty estimation for each of a set of process regions. For any arbitrary set of indexed positions of the stochastic process that are identified in an information query, the rate parameters and their associated estimation uncertainties are scaled using the model to obtain a distribution of the events of interest and their associated estimation uncertainties for the set of indexed positions. In one practical application, and in response to a search query associated with one or more base-pairs, a result is then returned. The result, which represents deviations between the estimated and observed mutation rates, is used to identify genomic elements that have more mutations than expected and therefore constitute previously unknown driver mutations.
    Type: Application
    Filed: August 27, 2021
    Publication date: March 24, 2022
    Inventors: Bonnie Berger Leighton, Maxwell Aaron Sherman, Adam Uri Yaari
  • Publication number: 20210316169
    Abstract: An improved reusable respirator mask apparatus is provided. The apparatus comprises a gasket, body and head and neck strap. The gasket is configured to provide comfort to a user, maintain a reliable airtight seal and allow a user to wear glasses while also using the mask. Further the mask is configured to receive multiple types of filter media, provide minimal rebreathing, be easily cleanable and allow visual communication of a user's facial expression.
    Type: Application
    Filed: April 13, 2021
    Publication date: October 14, 2021
    Inventors: Kyle Jansson, Aaron Sherman, Kent Solberg, Lauren Dern, Patricia Deno, Lindsey Roddy, Jared Koch, Raman Kutty
  • Patent number: 5945056
    Abstract: A method of making a surgical simulator comprises first and second mouldings which can be assembled together to form a simulation limb. The first moulding is in the form of a replaceable cartridge on which simulation surgical operations moulding can be performed. The second moulding is mounted on a supporting base and includes a cavity within which the first moulding can be located. A housing containing a pump assembly is mounted on the supporting base and the pump assembly is arranged to pump simulation blood through a simulation vein contained within said first moulding.
    Type: Grant
    Filed: May 28, 1997
    Date of Patent: August 31, 1999
    Assignee: Simutech Limited
    Inventors: Ralph Paul Day, Aaron Sherman