Patents by Inventor Jahangir Mohammed

Jahangir Mohammed 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: 20240156404
    Abstract: A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.
    Type: Application
    Filed: December 21, 2023
    Publication date: May 16, 2024
    Inventors: JAHANGIR MOHAMMED, MULK ABDUL MALUK MOHAMED, TERRENCE CHUN YIN POON, WEI TIAN
  • Publication number: 20240161913
    Abstract: A health search system receives a search query requesting a search for biological information specific to a patient. The health search system accesses a health profile of a patient storing biomarkers determined for the patient. The health search system searches one or more hierarchical data structures to identify one or more health parameters related to the search query where each node of the data structures corresponds to a health parameter belonging to the biological ontology. The health search system determines measurements for one or more biomarkers stored within the health profile of the patient corresponding to the identified health parameters. The health search system generates search results for the search query comprising the identified health parameters and the determined measurements corresponding to each health parameter. The health search system transmits the search results to the user device for display via a graphical user interface.
    Type: Application
    Filed: November 13, 2023
    Publication date: May 16, 2024
    Inventors: Jahangir MOHAMMED, Terrence Chun Yin POON, Mohamed THAJUDEEN, Mulk Abdul Maluk MOHAMED, Lisa Madhukanta Shah
  • Patent number: 11957484
    Abstract: A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.
    Type: Grant
    Filed: August 13, 2020
    Date of Patent: April 16, 2024
    Assignee: TWIN HEALTH, INC.
    Inventors: Jahangir Mohammed, Mulk Abdul Maluk Mohamed, Terrence Chun Yin Poon, Wei Tian
  • Patent number: 11707226
    Abstract: A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.
    Type: Grant
    Filed: March 16, 2021
    Date of Patent: July 25, 2023
    Assignee: TWIN HEALTH, INC.
    Inventors: Jahangir Mohammed, Mulk Abdul Maluk Mohamed, Terrence Chun Yin Poon, Wei Tian
  • Publication number: 20230112187
    Abstract: A Digital Twin clinical trial simulator identifies an intervention parameter in a treatment recommendation. The treatment recommendation comprises instructions for adjusting the intervention parameter to cause a target improvement. The Digital Twin clinical trial simulator generates a cohort of patients sensitive to the intervention. The Digital Twin clinical trial simulator separates the cohort of patients into a control cohort comprising a first subset of patients and a test cohort comprising a second subset of patients. The Digital Twin clinical trial simulator determines an effect of the treatment recommendation on the cohort of patients by inputting the instructions of the treatment recommendation to a patient-specific metabolic model for each patient of the test cohort and comparing the effect predicted by the patient-specific metabolic of each patient in the test cohort to representations of metabolic states of patients in the control cohort.
    Type: Application
    Filed: October 11, 2022
    Publication date: April 13, 2023
    Inventors: James Wilson, Abhik Banerjee, Terrence Chun Yin Poon, Jahangir Mohammed
  • Publication number: 20230111605
    Abstract: A Digital Twin clinical trial simulator generates a plurality of candidate treatments for causing a target improvement in metabolic health. Each candidate treatment comprises one or more intervention parameters and instructions for adjusting the one or more intervention parameters of the one or more intervention parameters to cause the target improvement. For each candidate treatment, the Digital Twin clinical trial simulator identifies a cohort of patients sensitive to adjustments to the one or more intervention parameters. The Digital Twin clinical trial simulator inputs the candidate treatment to patient-specific metabolic models, which predict the effectiveness of the candidate treatment for each patient of the cohort. The Digital Twin clinical trial simulator identifies a shortlist of effective treatments based on the predictions of the patient-specific metabolic models and generates instructions for performing physical experiments to validate the effectiveness of each shortlisted candidate treatment.
    Type: Application
    Filed: October 11, 2022
    Publication date: April 13, 2023
    Inventors: James Wilson, Abhik Banerjee, Terrence Chun Yin Poon, Jahangir Mohammed
  • Publication number: 20230110674
    Abstract: A Digital Twin clinical trial simulator determines one or more trial parameters for a physical experiment to validate a candidate treatment recommendation. For each of one or more variations of the physical experiment, the Digital Twin clinical trial simulator determines an effectiveness of the variation in validating the candidate treatment recommendation. The effectiveness describes a likelihood that the physical experiment will provide insight regarding the effect of the candidate treatment recommendation on a metabolic state. For a variation that satisfies a threshold effectiveness, the Digital Twin clinical trial simulator determines one or more metabolic features shared among a cohort of patients sensitive to the candidate treatment recommendation.
    Type: Application
    Filed: October 11, 2022
    Publication date: April 13, 2023
    Inventors: James Wilson, Abhik Banerjee, Terrence Chun Yin Poon, Jahangir Mohammed
  • Patent number: 11350876
    Abstract: A patient health management platform determines of a metabolic state for a first time period. The platform generates a patient-specific treatment recommendation for a second time period following the first time period that identifies objectives for the patient to complete to improve the metabolic state determined for the first time period. Periodically during the second time period, the platform receives recordings of patient data indicating foods consumed by the patient, medication taken by the patient, and/or symptoms experienced by the patient. The platform compares the received recordings of patient data from the second time period to the generated patient-specific treatment recommendation to determine a number of objectives completed by the patient and updates a score representing n adherence of the patient to the patient-specific treatment recommendation based the number of completed objectives.
    Type: Grant
    Filed: March 16, 2021
    Date of Patent: June 7, 2022
    Assignee: Twin Health, Inc.
    Inventors: Terrence Chun Yin Poon, Amit Shrivastava, Jahangir Mohammed, Lihuan Xie
  • Publication number: 20220061710
    Abstract: A patient health management platform implements a machine-learned metabolic model to generate a prediction of a patient's glucose level. The platform implements a short-term prediction model to generate a daily prediction of the patient's glucose level based on nutrition data reported by the patient and sensor data and lab test data collected for the patient. The platform implements a long-term prediction model generate a prediction of the patient's glucose level during an extended time period based on sensor data and lab test data collected for the patient. Using the short-term prediction model, the long-term prediction model, or both, the patient health management platform generates predictions of the patient's glucose level and updates a digital twin of the patient's metabolic profile.
    Type: Application
    Filed: April 28, 2021
    Publication date: March 3, 2022
    Inventors: Frederick Hadley, James Wilson, Terrence Chun Yin Poon, Jahangir Mohammed
  • Publication number: 20220061676
    Abstract: A patient health management platform implements a machine-learned metabolic model to generate a prediction of a patient's blood pressure. The platform implements a short-term prediction model to generate a daily prediction of the patient's blood pressure based on nutrition data reported by the patient and sensor data and lab test data collected for the patient. The platform implements a long-term prediction model generate a prediction of the patient's blood pressure during an extended time period based on sensor data and lab test data collected for the patient. Using the short-term prediction model, the long-term prediction model, or both, the patient health management platform generates predictions of the patient's diastolic and systolic blood pressure and updates a digital twin of the patient's metabolic profile.
    Type: Application
    Filed: April 28, 2021
    Publication date: March 3, 2022
    Inventors: James Wilson, Frederick Hadley, Terrence Chun Yin Poon, Jahangir Mohammed
  • Publication number: 20210219910
    Abstract: A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.
    Type: Application
    Filed: March 16, 2021
    Publication date: July 22, 2021
    Inventors: Jahangir Mohammed, Mulk Abdul Maluk Mohamed, Terrence Chun Yin Poon, Wei Tian
  • Publication number: 20210196196
    Abstract: A patient health management platform determines of a metabolic state for a first time period. The platform generates a patient-specific treatment recommendation for a second time period following the first time period that identifies objectives for the patient to complete to improve the metabolic state determined for the first time period. Periodically during the second time period, the platform receives recordings of patient data indicating foods consumed by the patient, medication taken by the patient, and/or symptoms experienced by the patient. The platform compares the received recordings of patient data from the second time period to the generated patient-specific treatment recommendation to determine a number of objectives completed by the patient and updates a score representing n adherence of the patient to the patient-specific treatment recommendation based the number of completed objectives.
    Type: Application
    Filed: March 16, 2021
    Publication date: July 1, 2021
    Inventors: Terrence Chun Yin Poon, Amit Shrivastava, Jahangir Mohammed, Lihuan Xie
  • Patent number: 11006295
    Abstract: A Core Service Platform (CSP) system is integrated with an operator network and IT system to provide services to subscribers and operators. Based on information collected from the operator network and IT system, the CSP system delivers alerts to a subscriber's device and provides offers to resolve the condition causing the alerts. The CSP system provides customized contextual offers to the subscriber's device based on contextual assessments of a subscriber's current context, such as time in contract, loyalty status, data and voice usage, value of customer, time, location and purchase history. The CSP system also provides an operator a suite of tools for the operator to manage its pricing, offers, campaigns and other subscriber-related issues.
    Type: Grant
    Filed: November 9, 2018
    Date of Patent: May 11, 2021
    Assignee: Cisco Technology, Inc.
    Inventors: Jahangir Mohammed, Amit Gupta, Daniel Gerard Collins, Gautam M. Shah, Scott Barkley, Jack McGwire
  • Publication number: 20210050089
    Abstract: A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.
    Type: Application
    Filed: August 13, 2020
    Publication date: February 18, 2021
    Inventors: JAHANGIR MOHAMMED, MULK ABDUL MALUK MOHAMED, TERRENCE CHUN YIN POON, WEI TIAN
  • Publication number: 20210045682
    Abstract: A patient health management platform determines of a metabolic state for a first time period. The platform generates a patient-specific treatment recommendation for a second time period following the first time period that identifies objectives for the patient to complete to improve the metabolic state determined for the first time period. Periodically during the second time period, the platform receives recordings of patient data indicating foods consumed by the patient, medication taken by the patient, and/or symptoms experienced by the patient. The platform compares the received recordings of patient data from the second time period to the generated patient-specific treatment recommendation to determine a number of objectives completed by the patient and updates a score representing n adherence of the patient to the patient-specific treatment recommendation based the number of completed objectives.
    Type: Application
    Filed: August 13, 2020
    Publication date: February 18, 2021
    Inventors: TERRENCE CHUN YIN POON, AMIT SHRIVASTAVA, JAHANGIR MOHAMMED, LIHUAN XIE
  • Publication number: 20190082340
    Abstract: A Core Service Platform (CSP) system is integrated with an operator network and IT system to provide services to subscribers and operators. Based on information collected from the operator network and IT system, the CSP system delivers alerts to a subscriber's device and provides offers to resolve the condition causing the alerts. The CSP system provides customized contextual offers to the subscriber's device based on contextual assessments of a subscriber's current context, such as time in contract, loyalty status, data and voice usage, value of customer, time, location and purchase history. The CSP system also provides an operator a suite of tools for the operator to manage its pricing, offers, campaigns and other subscriber-related issues.
    Type: Application
    Filed: November 9, 2018
    Publication date: March 14, 2019
    Inventors: Jahangir Mohammed, Amit Gupta, Daniel Gerard Collins, Gautam M. Shah, Scott Barkley, Jack McGwire
  • Patent number: 10142868
    Abstract: A Core Service Platform (CSP) system is integrated with an operator network and IT system to provide services to subscribers and operators. Based on information collected from the operator network and IT system, the CSP system delivers alerts to a subscriber's device and provides offers to resolve the condition causing the alerts. The CSP system provides customized contextual offers to the subscriber's device based on contextual assessments of a subscriber's current context, such as time in contract, loyalty status, data and voice usage, value of customer, time, location and purchase history. The CSP system also provides an operator a suite of tools for the operator to manage its pricing, offers, campaigns and other subscriber-related issues.
    Type: Grant
    Filed: May 1, 2014
    Date of Patent: November 27, 2018
    Assignee: Cisco Technologies, Inc.
    Inventors: Jahangir Mohammed, Amit Gupta, Daniel Collins, Gautam Shah, Scott Barkely, Jack McGwire
  • Patent number: 9565552
    Abstract: A mobile wireless device which operates in a wireless network is capable of: displaying a request for a user specified subscriber identification code on a GUI, receiving a single entry of the user specified subscriber identification code from the GUI, appending a code specifying a request for a type of activation and a request for data representing customer specific services to the subscriber identification code to form an activation code, transmitting the activation code to a control center wherein the transmission of the activation code results from the single entry of the user specified subscriber identification code into the GUI, receiving data representing customer specific services from the control center in response to the transmission of the activation code, and storing the received data representing the customer specific services in the memory.
    Type: Grant
    Filed: December 16, 2015
    Date of Patent: February 7, 2017
    Assignee: Jasper Technologies, Inc.
    Inventors: Jahangir Mohammed, Amit Gupta, Daniel Collins, Scott Barkley, Jack McGwire
  • Publication number: 20170026823
    Abstract: Disclosed is method comprising: storing in a home location register (HLR) at least one subscription record of a mobile device of the plurality of mobile devices, the mobile device having a subscriber identity module (SIM) identified by a currently activated first international mobile subscriber identity (IMSI), the currently activated first IMSI belonging to a set of IMSIs allocated to the system, wherein the provisioning server is operative to: receive a notification that the mobile devices has moved into a first one of the wireless networks; confirm that an allocation rule is satisfied; add and activate a second one of the IMSIs in the set of IMSIs to the HLR and remove the currently activated first IMSI from the HLR; and send the second IMSI to the mobile device to enable the mobile device to communicate wirelessly in the first wireless network as a local device.
    Type: Application
    Filed: October 3, 2016
    Publication date: January 26, 2017
    Inventors: Jahangir MOHAMMED, Scott BARKLEY, Amit GUPTA, Daniel G. COLLINS, Jack MCGWIRE
  • Patent number: 9497630
    Abstract: A cellular network system comprises a device identifier comparator and a connection enable indicator. A device identifier comparator for comparing a received device identifier with one of a plurality of stored device identifiers, wherein the one of the stored plurality of stored device identifiers is associated with a stored subscriber identifier. A connection enable indicator for indicating whether a connection from a cellular device associated with the received device identifier to a data network associated with the cellular network system should be enabled.
    Type: Grant
    Filed: January 15, 2015
    Date of Patent: November 15, 2016
    Assignee: Jasper Technologies, Inc.
    Inventors: Amit Gupta, Carl Keller, Jahangir Mohammed, Suparna Kumar