Patents by Inventor TERRENCE CHUN YIN POON
TERRENCE CHUN YIN POON 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: 20240156404Abstract: 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: ApplicationFiled: December 21, 2023Publication date: May 16, 2024Inventors: JAHANGIR MOHAMMED, MULK ABDUL MALUK MOHAMED, TERRENCE CHUN YIN POON, WEI TIAN
-
Publication number: 20240161913Abstract: 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: ApplicationFiled: November 13, 2023Publication date: May 16, 2024Inventors: Jahangir MOHAMMED, Terrence Chun Yin POON, Mohamed THAJUDEEN, Mulk Abdul Maluk MOHAMED, Lisa Madhukanta Shah
-
Patent number: 11957484Abstract: 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: GrantFiled: August 13, 2020Date of Patent: April 16, 2024Assignee: TWIN HEALTH, INC.Inventors: Jahangir Mohammed, Mulk Abdul Maluk Mohamed, Terrence Chun Yin Poon, Wei Tian
-
PRECISION TREATMENT WITH MACHINE LEARNING AND DIGITAL TWIN TECHNOLOGY FOR OPTIMAL METABOLIC OUTCOMES
Publication number: 20230337977Abstract: 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 encodes the biosignals into a vector representation and inputs the vector representation into a patient-specific metabolic model to determine a metabolic state of the patient at a conclusion of the current time period. The patient-specific metabolic model comprises a set of parameter values determined based on labels assigned to the previous metabolic states and a function representing one or more effects of the plurality of biosignals of the personalized metabolic profile. The platform compares the determined metabolic state of the patient to a threshold metabolic state representing a target metabolism.Type: ApplicationFiled: June 27, 2023Publication date: October 26, 2023Applicant: TWIN HEALTH, INC.Inventors: Frederick HADLEY, Thomas Alan DUNLAP, Terrence Chun Yin POON -
Precision treatment with machine learning and digital twin technology for optimal metabolic outcomes
Patent number: 11723595Abstract: 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 encodes the biosignals into a vector representation and inputs the vector representation into a patient-specific metabolic model to determine a metabolic state of the patient at a conclusion of the current time period. The patient-specific metabolic model comprises a set of parameter values determined based on labels assigned to the previous metabolic states and a function representing one or more effects of the plurality of biosignals of the personalized metabolic profile. The platform compares the determined metabolic state of the patient to a threshold metabolic state representing a target metabolism.Type: GrantFiled: August 13, 2020Date of Patent: August 15, 2023Assignee: TWIN HEALTH, INC.Inventors: Frederick Hadley, Thomas Alan Dunlap, Terrence Chun Yin Poon -
Patent number: 11707226Abstract: 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: GrantFiled: March 16, 2021Date of Patent: July 25, 2023Assignee: TWIN HEALTH, INC.Inventors: Jahangir Mohammed, Mulk Abdul Maluk Mohamed, Terrence Chun Yin Poon, Wei Tian
-
Publication number: 20230111605Abstract: 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: ApplicationFiled: October 11, 2022Publication date: April 13, 2023Inventors: James Wilson, Abhik Banerjee, Terrence Chun Yin Poon, Jahangir Mohammed
-
Publication number: 20230112187Abstract: 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: ApplicationFiled: October 11, 2022Publication date: April 13, 2023Inventors: James Wilson, Abhik Banerjee, Terrence Chun Yin Poon, Jahangir Mohammed
-
Publication number: 20230110674Abstract: 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: ApplicationFiled: October 11, 2022Publication date: April 13, 2023Inventors: James Wilson, Abhik Banerjee, Terrence Chun Yin Poon, Jahangir Mohammed
-
Patent number: 11350876Abstract: 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: GrantFiled: March 16, 2021Date of Patent: June 7, 2022Assignee: Twin Health, Inc.Inventors: Terrence Chun Yin Poon, Amit Shrivastava, Jahangir Mohammed, Lihuan Xie
-
Publication number: 20220061710Abstract: 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: ApplicationFiled: April 28, 2021Publication date: March 3, 2022Inventors: Frederick Hadley, James Wilson, Terrence Chun Yin Poon, Jahangir Mohammed
-
Publication number: 20220061676Abstract: 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: ApplicationFiled: April 28, 2021Publication date: March 3, 2022Inventors: James Wilson, Frederick Hadley, Terrence Chun Yin Poon, Jahangir Mohammed
-
Precision treatment with machine learning and digital twin technology for optimal metabolic outcomes
Patent number: 11185283Abstract: 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 encodes the biosignals into a vector representation and inputs the vector representation into a patient-specific metabolic model to determine a metabolic state of the patient at a conclusion of the current time period. The patient-specific metabolic model comprises a set of parameter values determined based on labels assigned to the previous metabolic states and a function representing one or more effects of the plurality of biosignals of the personalized metabolic profile. The platform compares the determined metabolic state of the patient to a threshold metabolic state representing a target metabolism.Type: GrantFiled: March 16, 2021Date of Patent: November 30, 2021Assignee: Twin Health, Inc.Inventors: Frederick Hadley, Thomas Alan Dunlap, Terrence Chun Yin Poon -
Publication number: 20210219910Abstract: 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: ApplicationFiled: March 16, 2021Publication date: July 22, 2021Inventors: Jahangir Mohammed, Mulk Abdul Maluk Mohamed, Terrence Chun Yin Poon, Wei Tian
-
PRECISION TREATMENT WITH MACHINE LEARNING AND DIGITAL TWIN TECHNOLOGY FOR OPTIMAL METABOLIC OUTCOMES
Publication number: 20210196195Abstract: 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 encodes the biosignals into a vector representation and inputs the vector representation into a patient-specific metabolic model to determine a metabolic state of the patient at a conclusion of the current time period. The patient-specific metabolic model comprises a set of parameter values determined based on labels assigned to the previous metabolic states and a function representing one or more effects of the plurality of biosignals of the personalized metabolic profile. The platform compares the determined metabolic state of the patient to a threshold metabolic state representing a target metabolism.Type: ApplicationFiled: March 16, 2021Publication date: July 1, 2021Inventors: Frederick Hadley, Thomas Alan Dunlap, Terrence Chun Yin Poon -
Publication number: 20210196196Abstract: 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: ApplicationFiled: March 16, 2021Publication date: July 1, 2021Inventors: Terrence Chun Yin Poon, Amit Shrivastava, Jahangir Mohammed, Lihuan Xie
-
PRECISION TREATMENT WITH MACHINE LEARNING AND DIGITAL TWIN TECHNOLOGY FOR OPTIMAL METABOLIC OUTCOMES
Publication number: 20210045694Abstract: 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 encodes the biosignals into a vector representation and inputs the vector representation into a patient-specific metabolic model to determine a metabolic state of the patient at a conclusion of the current time period. The patient-specific metabolic model comprises a set of parameter values determined based on labels assigned to the previous metabolic states and a function representing one or more effects of the plurality of biosignals of the personalized metabolic profile. The platform compares the determined metabolic state of the patient to a threshold metabolic state representing a target metabolism.Type: ApplicationFiled: August 13, 2020Publication date: February 18, 2021Inventors: FREDERICK HADLEY, THOMAS ALAN DUNLAP, TERRENCE CHUN YIN POON -
Publication number: 20210050089Abstract: 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: ApplicationFiled: August 13, 2020Publication date: February 18, 2021Inventors: JAHANGIR MOHAMMED, MULK ABDUL MALUK MOHAMED, TERRENCE CHUN YIN POON, WEI TIAN
-
Publication number: 20210045682Abstract: 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: ApplicationFiled: August 13, 2020Publication date: February 18, 2021Inventors: TERRENCE CHUN YIN POON, AMIT SHRIVASTAVA, JAHANGIR MOHAMMED, LIHUAN XIE