Publications

Publications

Huma’s scientific credibility is supported by 90 peer-reviewed publications spanning multiple disease areas, patient populations and care settings, including clinical validation and real-world evidence.

Home

Publications

Publications

Huma’s scientific credibility is supported by 90 peer-reviewed publications spanning multiple disease areas, patient populations and care settings, including clinical validation and real-world evidence.

Home

Publications

Publications

Huma’s scientific credibility is supported by 90 peer-reviewed publications spanning multiple disease areas, patient populations and care settings, including clinical validation and real-world evidence.

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Blaha et al.

2024

Validation of digital cardiovascular risk score (DiCAVA) in the United States All of Us dataset

Abstract submitted to ESC Congress 2024

Blaha et al.

2024

Validation of digital cardiovascular risk score (DiCAVA) in the United States All of Us dataset

Abstract submitted to ESC Congress 2024

Blaha et al.

2024

Validation of digital cardiovascular risk score (DiCAVA) in the United States All of Us dataset

Abstract submitted to ESC Congress 2024

Moore A, Morelli D.

2024

conDENSE: Conditional Density Estimation for Time Series Anomaly Detection

Journal of Artificial Intelligence Research, Vol 79.

Moore A, Morelli D.

2024

conDENSE: Conditional Density Estimation for Time Series Anomaly Detection

Journal of Artificial Intelligence Research, Vol 79.

Moore A, Morelli D.

2024

conDENSE: Conditional Density Estimation for Time Series Anomaly Detection

Journal of Artificial Intelligence Research, Vol 79.

Dolezalova, N. et al.

2023

Feasibility of using intermittent active monitoring of vital signs by smartphone users to predict SARS-CoV-2 PCR positivity

Nature Scientific Reports, 13: 10581

Dolezalova, N. et al.

2023

Feasibility of using intermittent active monitoring of vital signs by smartphone users to predict SARS-CoV-2 PCR positivity

Nature Scientific Reports, 13: 10581

Dolezalova, N. et al.

2023

Feasibility of using intermittent active monitoring of vital signs by smartphone users to predict SARS-CoV-2 PCR positivity

Nature Scientific Reports, 13: 10581

Lim, A. et al.

2022

An Outpatient Management Strategy Using a Coronataxi Digital Early Warning System Reduces Coronavirus Disease 2019 Mortality

Open Forum Infectious Diseases 9, no. 4: ofac063.

Lim, A. et al.

2022

An Outpatient Management Strategy Using a Coronataxi Digital Early Warning System Reduces Coronavirus Disease 2019 Mortality

Open Forum Infectious Diseases 9, no. 4: ofac063.

Lim, A. et al.

2022

An Outpatient Management Strategy Using a Coronataxi Digital Early Warning System Reduces Coronavirus Disease 2019 Mortality

Open Forum Infectious Diseases 9, no. 4: ofac063.

Gatzoulis, M. et al.

2022

Patient monitoring and education over a tailored digital application platform for congenital heart disease: A feasibility pilot study

International Journal of Cardiology. Vol 362, Pages 68-72.

Gatzoulis, M. et al.

2022

Patient monitoring and education over a tailored digital application platform for congenital heart disease: A feasibility pilot study

International Journal of Cardiology. Vol 362, Pages 68-72.

Gatzoulis, M. et al.

2022

Patient monitoring and education over a tailored digital application platform for congenital heart disease: A feasibility pilot study

International Journal of Cardiology. Vol 362, Pages 68-72.

Bacciu, D. et al.

2022

Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes

IEEE Transactions on Neural Networks and Learning Systems PP.

Bacciu, D. et al.

2022

Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes

IEEE Transactions on Neural Networks and Learning Systems PP.

Bacciu, D. et al.

2022

Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes

IEEE Transactions on Neural Networks and Learning Systems PP.

Sarraju A, et al.

2022

Pandemic-Proof Recruitment and Engagement in a Fully Decentralized Trial in Atrial Fibrillation Patients (DeTAP)

Npj Digital Medicine 5, no. 1: 1-7.

Sarraju A, et al.

2022

Pandemic-Proof Recruitment and Engagement in a Fully Decentralized Trial in Atrial Fibrillation Patients (DeTAP)

Npj Digital Medicine 5, no. 1: 1-7.

Sarraju A, et al.

2022

Pandemic-Proof Recruitment and Engagement in a Fully Decentralized Trial in Atrial Fibrillation Patients (DeTAP)

Npj Digital Medicine 5, no. 1: 1-7.

Valentine, S. et al.

2022

Smartphone Movement Sensors for the Remote Monitoring of Respiratory Rates: Technical Validation

DIGITAL HEALTH 8: 20552076221089090.

Valentine, S. et al.

2022

Smartphone Movement Sensors for the Remote Monitoring of Respiratory Rates: Technical Validation

DIGITAL HEALTH 8: 20552076221089090.

Valentine, S. et al.

2022

Smartphone Movement Sensors for the Remote Monitoring of Respiratory Rates: Technical Validation

DIGITAL HEALTH 8: 20552076221089090.

Rennie, K. L. et al.

2022

Engagement with mHealth COVID-19 digital biomarker measurements in a longitudinal cohort study: a mixed methods evaluation

JMIR Preprints. 29/06/2022:40602.

Rennie, K. L. et al.

2022

Engagement with mHealth COVID-19 digital biomarker measurements in a longitudinal cohort study: a mixed methods evaluation

JMIR Preprints. 29/06/2022:40602.

Rennie, K. L. et al.

2022

Engagement with mHealth COVID-19 digital biomarker measurements in a longitudinal cohort study: a mixed methods evaluation

JMIR Preprints. 29/06/2022:40602.

Elnakib, S. et al.

2022

A Novel Score for MHealth Apps to Predict and Prevent Mortality: Further Validation and Adaptation to the US Population Using the US National Health and Nutrition Examination Survey Data Set

Journal of Medical Internet Research 24, no. 6: e36787.

Elnakib, S. et al.

2022

A Novel Score for MHealth Apps to Predict and Prevent Mortality: Further Validation and Adaptation to the US Population Using the US National Health and Nutrition Examination Survey Data Set

Journal of Medical Internet Research 24, no. 6: e36787.

Elnakib, S. et al.

2022

A Novel Score for MHealth Apps to Predict and Prevent Mortality: Further Validation and Adaptation to the US Population Using the US National Health and Nutrition Examination Survey Data Set

Journal of Medical Internet Research 24, no. 6: e36787.

Yassaee, A. et al.

2020

Evaluation of an RPM solution for heart failure in Wales

Yassaee, A. et al.

2020

Evaluation of an RPM solution for heart failure in Wales

Yassaee, A. et al.

2020

Evaluation of an RPM solution for heart failure in Wales

In Preparation

2023

Managing Asthma Patients With AMAZE: A Novel Disease Management Platform, A Clinical Pilot Study

ClinicalTrials.gov

In Preparation

2023

Managing Asthma Patients With AMAZE: A Novel Disease Management Platform, A Clinical Pilot Study

ClinicalTrials.gov

In Preparation

2023

Managing Asthma Patients With AMAZE: A Novel Disease Management Platform, A Clinical Pilot Study

ClinicalTrials.gov

Dabbah, M. A. et al.

2021

Machine learning approach to dynamic risk modelling of mortality in COVID-19: a UK Biobank study

Scientific Reports, 11(1), p. 16936.

Dabbah, M. A. et al.

2021

Machine learning approach to dynamic risk modelling of mortality in COVID-19: a UK Biobank study

Scientific Reports, 11(1), p. 16936.

Dabbah, M. A. et al.

2021

Machine learning approach to dynamic risk modelling of mortality in COVID-19: a UK Biobank study

Scientific Reports, 11(1), p. 16936.

Velardo C, et al.

2021

Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation

J Med Internet Res 2021;23(3):e21435.

Velardo C, et al.

2021

Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation

J Med Internet Res 2021;23(3):e21435.

Velardo C, et al.

2021

Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: Algorithm Development and Validation

J Med Internet Res 2021;23(3):e21435.

Plans, D. et al.

2021

Measuring interoception: The phase adjustment task

Biological Psychology, 165, p. 108171.

Plans, D. et al.

2021

Measuring interoception: The phase adjustment task

Biological Psychology, 165, p. 108171.

Plans, D. et al.

2021

Measuring interoception: The phase adjustment task

Biological Psychology, 165, p. 108171.

Ponzo, S. et al.

2021

Measuring Interoception: The CARdiac Elevation Detection Task

Frontiers in Psychology, 12, p. 3661.

Ponzo, S. et al.

2021

Measuring Interoception: The CARdiac Elevation Detection Task

Frontiers in Psychology, 12, p. 3661.

Ponzo, S. et al.

2021

Measuring Interoception: The CARdiac Elevation Detection Task

Frontiers in Psychology, 12, p. 3661.

Dolezalova, N. et al.

2021

Development of a dynamic type 2 diabetes risk prediction tool: a UK Biobank study

Digital Health. arXiv preprint.

Dolezalova, N. et al.

2021

Development of a dynamic type 2 diabetes risk prediction tool: a UK Biobank study

Digital Health. arXiv preprint.

Dolezalova, N. et al.

2021

Development of a dynamic type 2 diabetes risk prediction tool: a UK Biobank study

Digital Health. arXiv preprint.

Dolezalova, N. et al.

2021

Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study

European Heart Journal - Digital Health.

Dolezalova, N. et al.

2021

Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study

European Heart Journal - Digital Health.

Dolezalova, N. et al.

2021

Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study

European Heart Journal - Digital Health.

Morelli, D. et al.

2021

Development of Digitally Obtainable 10-Year Risk Scores for Depression and Anxiety in the General Population

Frontiers in Psychiatry, 12, p. 1342.

Morelli, D. et al.

2021

Development of Digitally Obtainable 10-Year Risk Scores for Depression and Anxiety in the General Population

Frontiers in Psychiatry, 12, p. 1342.

Morelli, D. et al.

2021

Development of Digitally Obtainable 10-Year Risk Scores for Depression and Anxiety in the General Population

Frontiers in Psychiatry, 12, p. 1342.

Clift, A. K. et al.

2021

Development and Validation of Risk Scores for All-Cause Mortality for a Smartphone-Based General Health Score App: Prospective Cohort Study Using the UK Biobank

JMIR mHealth and uHealth, 9(2), p. e25655.

Clift, A. K. et al.

2021

Development and Validation of Risk Scores for All-Cause Mortality for a Smartphone-Based General Health Score App: Prospective Cohort Study Using the UK Biobank

JMIR mHealth and uHealth, 9(2), p. e25655.

Clift, A. K. et al.

2021

Development and Validation of Risk Scores for All-Cause Mortality for a Smartphone-Based General Health Score App: Prospective Cohort Study Using the UK Biobank

JMIR mHealth and uHealth, 9(2), p. e25655.

Nikbakhtian, S. et al.

2021

Accelerometer-derived sleep onset timing and cardiovascular disease incidence: a UK Biobank cohort study

European Heart Journal - Digital Health.

Nikbakhtian, S. et al.

2021

Accelerometer-derived sleep onset timing and cardiovascular disease incidence: a UK Biobank cohort study

European Heart Journal - Digital Health.

Nikbakhtian, S. et al.

2021

Accelerometer-derived sleep onset timing and cardiovascular disease incidence: a UK Biobank cohort study

European Heart Journal - Digital Health.

Morelli, D. et al.

2021

SDNN24 Estimation from Semi-Continuous HR Measures

Sensors, 21(4), p. 1463.

Morelli, D. et al.

2021

SDNN24 Estimation from Semi-Continuous HR Measures

Sensors, 21(4), p. 1463.

Morelli, D. et al.

2021

SDNN24 Estimation from Semi-Continuous HR Measures

Sensors, 21(4), p. 1463.

Obika, B. D. et al.

2021

Implementation of a mHealth solution to remotely monitor patients on a cardiac surgical waiting list: service evaluation

JAMIA Open, 4(3).

Obika, B. D. et al.

2021

Implementation of a mHealth solution to remotely monitor patients on a cardiac surgical waiting list: service evaluation

JAMIA Open, 4(3).

Obika, B. D. et al.

2021

Implementation of a mHealth solution to remotely monitor patients on a cardiac surgical waiting list: service evaluation

JAMIA Open, 4(3).

Ashraf, H. et al.

2021

Feasibility of a perioperative smartphone application in colorectal surgery

British Journal of Surgery.

Ashraf, H. et al.

2021

Feasibility of a perioperative smartphone application in colorectal surgery

British Journal of Surgery.

Ashraf, H. et al.

2021

Feasibility of a perioperative smartphone application in colorectal surgery

British Journal of Surgery.

Shah, S. et al.

2021

A Prospective Observational Real World Feasibility Study Assessing the Role of App-Based Remote Patient Monitoring in Reducing Primary Care Clinician Workload during the COVID Pandemic

BMC Family Practice 22, no. 1: 248.

Shah, S. et al.

2021

A Prospective Observational Real World Feasibility Study Assessing the Role of App-Based Remote Patient Monitoring in Reducing Primary Care Clinician Workload during the COVID Pandemic

BMC Family Practice 22, no. 1: 248.

Shah, S. et al.

2021

A Prospective Observational Real World Feasibility Study Assessing the Role of App-Based Remote Patient Monitoring in Reducing Primary Care Clinician Workload during the COVID Pandemic

BMC Family Practice 22, no. 1: 248.

Valentine, S. et al.

2021

A smartphone-based self-administered test of verbal episodic memory: Development and initial validation

Alzheimer's Association International Conference 2021, Denver, Colorado, USA.

Valentine, S. et al.

2021

A smartphone-based self-administered test of verbal episodic memory: Development and initial validation

Alzheimer's Association International Conference 2021, Denver, Colorado, USA.

Valentine, S. et al.

2021

A smartphone-based self-administered test of verbal episodic memory: Development and initial validation

Alzheimer's Association International Conference 2021, Denver, Colorado, USA.

Shah, S. S. et al.

2021

Mobile App-Based Remote Patient Monitoring in Acute Medical Conditions: Prospective Feasibility Study Exploring Digital Health Solutions on Clinical Workload During the COVID Crisis

JMIR Formative Research, 5(1), p. e23190.

Shah, S. S. et al.

2021

Mobile App-Based Remote Patient Monitoring in Acute Medical Conditions: Prospective Feasibility Study Exploring Digital Health Solutions on Clinical Workload During the COVID Crisis

JMIR Formative Research, 5(1), p. e23190.

Shah, S. S. et al.

2021

Mobile App-Based Remote Patient Monitoring in Acute Medical Conditions: Prospective Feasibility Study Exploring Digital Health Solutions on Clinical Workload During the COVID Crisis

JMIR Formative Research, 5(1), p. e23190.

Hemmings, N. R. et al.

2021

Development and Feasibility of a Digital Acceptance and Commitment Therapy-Based Intervention for Generalized Anxiety Disorder: Pilot Acceptability Study

JMIR Formative Research, 5(2), p. e21737.

Hemmings, N. R. et al.

2021

Development and Feasibility of a Digital Acceptance and Commitment Therapy-Based Intervention for Generalized Anxiety Disorder: Pilot Acceptability Study

JMIR Formative Research, 5(2), p. e21737.

Hemmings, N. R. et al.

2021

Development and Feasibility of a Digital Acceptance and Commitment Therapy-Based Intervention for Generalized Anxiety Disorder: Pilot Acceptability Study

JMIR Formative Research, 5(2), p. e21737.

Booth, A. et al.

2021

Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis

PLOS ONE, 16(3), p. e0247461.

Booth, A. et al.

2021

Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis

PLOS ONE, 16(3), p. e0247461.

Booth, A. et al.

2021

Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis

PLOS ONE, 16(3), p. e0247461.

Bacciu, D., Bertoncini, G. and Morelli, D.

2021

Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data

Neural Computing and Applications.

Bacciu, D., Bertoncini, G. and Morelli, D.

2021

Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data

Neural Computing and Applications.

Bacciu, D., Bertoncini, G. and Morelli, D.

2021

Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data

Neural Computing and Applications.

Thornton, J.

2020

The virtual wards supporting patients with covid-19 in the community

BMJ, 369, p. m2119.

Thornton, J.

2020

The virtual wards supporting patients with covid-19 in the community

BMJ, 369, p. m2119.

Thornton, J.

2020

The virtual wards supporting patients with covid-19 in the community

BMJ, 369, p. m2119.

Rossi, A. et al.

2020

Multilevel Monitoring of Activity and Sleep in Healthy people

PhysioNet.

Rossi, A. et al.

2020

Multilevel Monitoring of Activity and Sleep in Healthy people

PhysioNet.

Rossi, A. et al.

2020

Multilevel Monitoring of Activity and Sleep in Healthy people

PhysioNet.

Rossi, A. et al.

2020

Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts

Sensors, 20(24), p. 7122.

Rossi, A. et al.

2020

Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts

Sensors, 20(24), p. 7122.

Rossi, A. et al.

2020

Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts

Sensors, 20(24), p. 7122.

Rossi, A. et al.

2020

A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults

Data, 5(4), p. 91.

Rossi, A. et al.

2020

A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults

Data, 5(4), p. 91.

Rossi, A. et al.

2020

A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults

Data, 5(4), p. 91.

Ponzo, S. et al.

2020

Efficacy of the Digital Therapeutic Mobile App BioBase to Reduce Stress and Improve Mental Well-Being Among University Students: Randomized Controlled Trial

JMIR mHealth and uHealth, 8(4), p. e17767.

Ponzo, S. et al.

2020

Efficacy of the Digital Therapeutic Mobile App BioBase to Reduce Stress and Improve Mental Well-Being Among University Students: Randomized Controlled Trial

JMIR mHealth and uHealth, 8(4), p. e17767.

Ponzo, S. et al.

2020

Efficacy of the Digital Therapeutic Mobile App BioBase to Reduce Stress and Improve Mental Well-Being Among University Students: Randomized Controlled Trial

JMIR mHealth and uHealth, 8(4), p. e17767.

Kawadler, J. M. et al.

2020

Effectiveness of a Smartphone App (BioBase) for Reducing Anxiety and Increasing Mental Well-Being: Pilot Feasibility and Acceptability Study

JMIR Formative Research, 4(11), p. e18067.

Kawadler, J. M. et al.

2020

Effectiveness of a Smartphone App (BioBase) for Reducing Anxiety and Increasing Mental Well-Being: Pilot Feasibility and Acceptability Study

JMIR Formative Research, 4(11), p. e18067.

Kawadler, J. M. et al.

2020

Effectiveness of a Smartphone App (BioBase) for Reducing Anxiety and Increasing Mental Well-Being: Pilot Feasibility and Acceptability Study

JMIR Formative Research, 4(11), p. e18067.

Dall'Olio, L. et al.

2020

Prediction of vascular aging based on smartphone acquired PPG signals

Scientific Reports, 10(1), p. 19756.

Dall'Olio, L. et al.

2020

Prediction of vascular aging based on smartphone acquired PPG signals

Scientific Reports, 10(1), p. 19756.

Dall'Olio, L. et al.

2020

Prediction of vascular aging based on smartphone acquired PPG signals

Scientific Reports, 10(1), p. 19756.

Chelidoni, O. et al.

2020

Exploring the Effects of a Brief Biofeedback Breathing Session Delivered Through the BioBase App in Facilitating Employee Stress Recovery: Randomized Experimental Study

JMIR mHealth and uHealth, 8(10), p. e19412.

Chelidoni, O. et al.

2020

Exploring the Effects of a Brief Biofeedback Breathing Session Delivered Through the BioBase App in Facilitating Employee Stress Recovery: Randomized Experimental Study

JMIR mHealth and uHealth, 8(10), p. e19412.

Chelidoni, O. et al.

2020

Exploring the Effects of a Brief Biofeedback Breathing Session Delivered Through the BioBase App in Facilitating Employee Stress Recovery: Randomized Experimental Study

JMIR mHealth and uHealth, 8(10), p. e19412.

Werhahn, S. M. et al.

2019

Designing meaningful outcome parameters using mobile technology: a new mobile application for telemonitoring of patients with heart failure

ESC Heart Failure, 6(3), pp. 516-525.

Werhahn, S. M. et al.

2019

Designing meaningful outcome parameters using mobile technology: a new mobile application for telemonitoring of patients with heart failure

ESC Heart Failure, 6(3), pp. 516-525.

Werhahn, S. M. et al.

2019

Designing meaningful outcome parameters using mobile technology: a new mobile application for telemonitoring of patients with heart failure

ESC Heart Failure, 6(3), pp. 516-525.

Plans, D. et al.

2019

Use of a Biofeedback Breathing App to Augment Poststress Physiological Recovery: Randomized Pilot Study

JMIR Formative Research, 3(1), p. e12227.

Plans, D. et al.

2019

Use of a Biofeedback Breathing App to Augment Poststress Physiological Recovery: Randomized Pilot Study

JMIR Formative Research, 3(1), p. e12227.

Plans, D. et al.

2019

Use of a Biofeedback Breathing App to Augment Poststress Physiological Recovery: Randomized Pilot Study

JMIR Formative Research, 3(1), p. e12227.

Murphy, J. et al.

2019

I feel it in my finger: Measurement device affects cardiac interoceptive accuracy

Biological Psychology, 148, p. 107765.

Murphy, J. et al.

2019

I feel it in my finger: Measurement device affects cardiac interoceptive accuracy

Biological Psychology, 148, p. 107765.

Murphy, J. et al.

2019

I feel it in my finger: Measurement device affects cardiac interoceptive accuracy

Biological Psychology, 148, p. 107765.

Morelli, D. et al.

2019

Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations

Sensors, 19(14), p. 3163.

Morelli, D. et al.

2019

Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations

Sensors, 19(14), p. 3163.

Morelli, D. et al.

2019

Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations

Sensors, 19(14), p. 3163.

Morelli, D. et al.

2019

A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rate

Physiological Measurement, 40(9), p. 095001.

Morelli, D. et al.

2019

A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rate

Physiological Measurement, 40(9), p. 095001.

Morelli, D. et al.

2019

A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rate

Physiological Measurement, 40(9), p. 095001.

Lobo, M. et al.

2019

A novel non-invasive cuff-less optoelectronic sensor to measure blood pressure: comparison against intra-arterial measurement

Journal of Hypertension, 37, p. e158.

Lobo, M. et al.

2019

A novel non-invasive cuff-less optoelectronic sensor to measure blood pressure: comparison against intra-arterial measurement

Journal of Hypertension, 37, p. e158.

Lobo, M. et al.

2019

A novel non-invasive cuff-less optoelectronic sensor to measure blood pressure: comparison against intra-arterial measurement

Journal of Hypertension, 37, p. e158.

Mackillop L, et al.

2018

Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial

JMIR Mhealth Uhealth 2018;6(3):e71.

Mackillop L, et al.

2018

Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial

JMIR Mhealth Uhealth 2018;6(3):e71.

Mackillop L, et al.

2018

Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial

JMIR Mhealth Uhealth 2018;6(3):e71.

Morrison, R. L. et al.

2018

A computerized, self-administered test of verbal episodic memory in elderly patients with mild cognitive impairment and healthy participants: A randomized, crossover, validation study

Alzheimer's and Dementia, 10, pp. 647-656.

Morrison, R. L. et al.

2018

A computerized, self-administered test of verbal episodic memory in elderly patients with mild cognitive impairment and healthy participants: A randomized, crossover, validation study

Alzheimer's and Dementia, 10, pp. 647-656.

Morrison, R. L. et al.

2018

A computerized, self-administered test of verbal episodic memory in elderly patients with mild cognitive impairment and healthy participants: A randomized, crossover, validation study

Alzheimer's and Dementia, 10, pp. 647-656.

Morelli, D. et al.

2018

Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device

Healthcare Technology Letters, 5(2), pp. 59-64.

Morelli, D. et al.

2018

Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device

Healthcare Technology Letters, 5(2), pp. 59-64.

Morelli, D. et al.

2018

Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device

Healthcare Technology Letters, 5(2), pp. 59-64.

Bacciu, D. et al.

2018

Randomized neural networks for preference learning with physiological data

Neurocomputing, 298, pp. 9-20.

Bacciu, D. et al.

2018

Randomized neural networks for preference learning with physiological data

Neurocomputing, 298, pp. 9-20.

Bacciu, D. et al.

2018

Randomized neural networks for preference learning with physiological data

Neurocomputing, 298, pp. 9-20.

Schack, T. et al.

2017

Computationally efficient algorithm for photoplethysmography-based atrial fibrillation detection using smartphones

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2017, pp. 104-108.

Schack, T. et al.

2017

Computationally efficient algorithm for photoplethysmography-based atrial fibrillation detection using smartphones

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2017, pp. 104-108.

Schack, T. et al.

2017

Computationally efficient algorithm for photoplethysmography-based atrial fibrillation detection using smartphones

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2017, pp. 104-108.

Cropley, M. et al.

2017

The Association between Work-Related Rumination and Heart Rate Variability: A Field Study

Frontiers in Human Neuroscience, 11, p. 27.

Cropley, M. et al.

2017

The Association between Work-Related Rumination and Heart Rate Variability: A Field Study

Frontiers in Human Neuroscience, 11, p. 27.

Cropley, M. et al.

2017

The Association between Work-Related Rumination and Heart Rate Variability: A Field Study

Frontiers in Human Neuroscience, 11, p. 27.

Bacciu, D., Crecchi, F. and Morelli, D.

2017

DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout

arXiv:1705.02643.

Bacciu, D., Crecchi, F. and Morelli, D.

2017

DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout

arXiv:1705.02643.

Bacciu, D., Crecchi, F. and Morelli, D.

2017

DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout

arXiv:1705.02643.

Farmer, A. et al.

2015

Acceptability and User Satisfaction of a Smartphone-Based, Interactive Blood Glucose Management System in Women With Gestational Diabetes Mellitus

Journal of Diabetes Science and Technology. Vol. 9(1) 111-115.

Farmer, A. et al.

2015

Acceptability and User Satisfaction of a Smartphone-Based, Interactive Blood Glucose Management System in Women With Gestational Diabetes Mellitus

Journal of Diabetes Science and Technology. Vol. 9(1) 111-115.

Farmer, A. et al.

2015

Acceptability and User Satisfaction of a Smartphone-Based, Interactive Blood Glucose Management System in Women With Gestational Diabetes Mellitus

Journal of Diabetes Science and Technology. Vol. 9(1) 111-115.

Imrisek SD, et al.

2022

Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults with Type 2 Diabetes Using One Drop: A Retrospective Cohort Study

JMIR Diabetes.

Imrisek SD, et al.

2022

Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults with Type 2 Diabetes Using One Drop: A Retrospective Cohort Study

JMIR Diabetes.

Imrisek SD, et al.

2022

Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults with Type 2 Diabetes Using One Drop: A Retrospective Cohort Study

JMIR Diabetes.

Lavaysse LM, et al.

2022

One Drop Improves Productivity for Workers with Type 2 Diabetes

Journal of Occupational and Environmental Medicine.

Lavaysse LM, et al.

2022

One Drop Improves Productivity for Workers with Type 2 Diabetes

Journal of Occupational and Environmental Medicine.

Lavaysse LM, et al.

2022

One Drop Improves Productivity for Workers with Type 2 Diabetes

Journal of Occupational and Environmental Medicine.

Nara, Goldner, Lee, Dachis

2022

Reducing Treatment Burden Among People with Chronic Conditions Using Machine Learning

JMIR Biomedical Engineering.

Nara, Goldner, Lee, Dachis

2022

Reducing Treatment Burden Among People with Chronic Conditions Using Machine Learning

JMIR Biomedical Engineering.

Nara, Goldner, Lee, Dachis

2022

Reducing Treatment Burden Among People with Chronic Conditions Using Machine Learning

JMIR Biomedical Engineering.

Osborn CY, et al.

2020

One Drop App With an Activity Tracker for Adults With Type 1 Diabetes: Randomized Controlled Trial

JMIR Mhealth Uhealth 2020;8(9):e16745.

Osborn CY, et al.

2020

One Drop App With an Activity Tracker for Adults With Type 1 Diabetes: Randomized Controlled Trial

JMIR Mhealth Uhealth 2020;8(9):e16745.

Osborn CY, et al.

2020

One Drop App With an Activity Tracker for Adults With Type 1 Diabetes: Randomized Controlled Trial

JMIR Mhealth Uhealth 2020;8(9):e16745.

Kumar S, Moseson H, Uppal J, Juusola JL

2018

A diabetes mobile app with in-app coaching from a Certified Diabetes Educator reduces A1c for individuals with type 2 diabetes

Diabetes Educ. 2018 Jun; 44(3):226-236.

Kumar S, Moseson H, Uppal J, Juusola JL

2018

A diabetes mobile app with in-app coaching from a Certified Diabetes Educator reduces A1c for individuals with type 2 diabetes

Diabetes Educ. 2018 Jun; 44(3):226-236.

Kumar S, Moseson H, Uppal J, Juusola JL

2018

A diabetes mobile app with in-app coaching from a Certified Diabetes Educator reduces A1c for individuals with type 2 diabetes

Diabetes Educ. 2018 Jun; 44(3):226-236.

Osborn CY, van Ginkel JR, Rodbard D, et al.

2017

One Drop Mobile: An evaluation of hemoglobin A1c improvement linked to app engagement

JMIR Diabetes. 2017;2(2):e21.

Osborn CY, van Ginkel JR, Rodbard D, et al.

2017

One Drop Mobile: An evaluation of hemoglobin A1c improvement linked to app engagement

JMIR Diabetes. 2017;2(2):e21.

Osborn CY, van Ginkel JR, Rodbard D, et al.

2017

One Drop Mobile: An evaluation of hemoglobin A1c improvement linked to app engagement

JMIR Diabetes. 2017;2(2):e21.

Osborn CY, et al.

2017

One Drop Mobile on iPhone and Apple Watch: An evaluation of A1c improvement associated with tracking self-care

JMIR mHealth and uHealth, 2017.

Osborn CY, et al.

2017

One Drop Mobile on iPhone and Apple Watch: An evaluation of A1c improvement associated with tracking self-care

JMIR mHealth and uHealth, 2017.

Osborn CY, et al.

2017

One Drop Mobile on iPhone and Apple Watch: An evaluation of A1c improvement associated with tracking self-care

JMIR mHealth and uHealth, 2017.

Imrisek SD, et al.

2022

Leveling Health Disparities Through Digital Health: Associations Between Risk for Health Inequity and Diabetes App Satisfaction, Use, and Outcomes

2022 American Diabetes Association Conference.

Imrisek SD, et al.

2022

Leveling Health Disparities Through Digital Health: Associations Between Risk for Health Inequity and Diabetes App Satisfaction, Use, and Outcomes

2022 American Diabetes Association Conference.

Imrisek SD, et al.

2022

Leveling Health Disparities Through Digital Health: Associations Between Risk for Health Inequity and Diabetes App Satisfaction, Use, and Outcomes

2022 American Diabetes Association Conference.

Sears LE, et al.

2022

CGM Attitudes and Adoption among People with Type 2 Diabetes using One Drop

2022 American Diabetes Association Conference.

Sears LE, et al.

2022

CGM Attitudes and Adoption among People with Type 2 Diabetes using One Drop

2022 American Diabetes Association Conference.

Sears LE, et al.

2022

CGM Attitudes and Adoption among People with Type 2 Diabetes using One Drop

2022 American Diabetes Association Conference.

Lavaysse LM, et al.

2022

The effects of the COVID-19 Pandemic on People with Type 2 Diabetes Using One Drop

2022 Advanced Technologies and Treatments for Diabetes Conference.

Lavaysse LM, et al.

2022

The effects of the COVID-19 Pandemic on People with Type 2 Diabetes Using One Drop

2022 Advanced Technologies and Treatments for Diabetes Conference.

Lavaysse LM, et al.

2022

The effects of the COVID-19 Pandemic on People with Type 2 Diabetes Using One Drop

2022 Advanced Technologies and Treatments for Diabetes Conference.

Lavaysse LM, et al.

2022

Glucose Reduction in Employees with Diabetes After Long-Term One Drop Use

2022 Advanced Technologies and Treatments for Diabetes Conference.

Lavaysse LM, et al.

2022

Glucose Reduction in Employees with Diabetes After Long-Term One Drop Use

2022 Advanced Technologies and Treatments for Diabetes Conference.

Lavaysse LM, et al.

2022

Glucose Reduction in Employees with Diabetes After Long-Term One Drop Use

2022 Advanced Technologies and Treatments for Diabetes Conference.

Sears LE, et al.

2021

The Effects of One Drop Digital Program on Glucose Control in Employees with Type 1 and 2 Diabetes

2021 Diabetes Technology Meeting.

Sears LE, et al.

2021

The Effects of One Drop Digital Program on Glucose Control in Employees with Type 1 and 2 Diabetes

2021 Diabetes Technology Meeting.

Sears LE, et al.

2021

The Effects of One Drop Digital Program on Glucose Control in Employees with Type 1 and 2 Diabetes

2021 Diabetes Technology Meeting.

Hirsch A, et al.

2019

A pragmatic randomized control trial evaluates one drop with inhalable vs. injectable insulin

Diabetes Technol Ther. 2019;21:A146.

Hirsch A, et al.

2019

A pragmatic randomized control trial evaluates one drop with inhalable vs. injectable insulin

Diabetes Technol Ther. 2019;21:A146.

Hirsch A, et al.

2019

A pragmatic randomized control trial evaluates one drop with inhalable vs. injectable insulin

Diabetes Technol Ther. 2019;21:A146.

Hirsch A, Osborn CY, Heyman M, Huddleston B, Dachis J

2019

Long-Term A1C Benefit from Using One Drop

Diabetes. 2019;68(Suppl1):48-LB.

Hirsch A, Osborn CY, Heyman M, Huddleston B, Dachis J

2019

Long-Term A1C Benefit from Using One Drop

Diabetes. 2019;68(Suppl1):48-LB.

Hirsch A, Osborn CY, Heyman M, Huddleston B, Dachis J

2019

Long-Term A1C Benefit from Using One Drop

Diabetes. 2019;68(Suppl1):48-LB.

Osborn CY, et al.

2018

Blood glucose improves among people at risk using One Drop Premium or Plus on iPhone and Apple Watch

Diabetes Technol Ther. 2018;20(Suppl1):A-118-A-119.

Osborn CY, et al.

2018

Blood glucose improves among people at risk using One Drop Premium or Plus on iPhone and Apple Watch

Diabetes Technol Ther. 2018;20(Suppl1):A-118-A-119.

Osborn CY, et al.

2018

Blood glucose improves among people at risk using One Drop Premium or Plus on iPhone and Apple Watch

Diabetes Technol Ther. 2018;20(Suppl1):A-118-A-119.

Sears L, et al.

2018

Insulin Adherence Is a Mechanism Underlying Disparities in A1C for Younger Adults with Type 2 Diabetes

Diabetes Jul 2018, 67(Supplement 1) 890-P.

Sears L, et al.

2018

Insulin Adherence Is a Mechanism Underlying Disparities in A1C for Younger Adults with Type 2 Diabetes

Diabetes Jul 2018, 67(Supplement 1) 890-P.

Sears L, et al.

2018

Insulin Adherence Is a Mechanism Underlying Disparities in A1C for Younger Adults with Type 2 Diabetes

Diabetes Jul 2018, 67(Supplement 1) 890-P.

Osborn CY, et al.

2018

Reasons for Insulin Omission: What Matters Most?

Diabetes Jul 2018, 67(Supplement 1) 889-P.

Osborn CY, et al.

2018

Reasons for Insulin Omission: What Matters Most?

Diabetes Jul 2018, 67(Supplement 1) 889-P.

Osborn CY, et al.

2018

Reasons for Insulin Omission: What Matters Most?

Diabetes Jul 2018, 67(Supplement 1) 889-P.

Kumar S, et al.

2017

Impact of a diabetes mobile app with in-app coaching on glycemic control

Diabetes. 2017;63-LB.

Kumar S, et al.

2017

Impact of a diabetes mobile app with in-app coaching on glycemic control

Diabetes. 2017;63-LB.

Kumar S, et al.

2017

Impact of a diabetes mobile app with in-app coaching on glycemic control

Diabetes. 2017;63-LB.

Imrisek SD, et al.

2022

Awareness of Cardiovascular Disease Risk in People with Type 2 Diabetes

2022 American Diabetes Association Conference.

Imrisek SD, et al.

2022

Awareness of Cardiovascular Disease Risk in People with Type 2 Diabetes

2022 American Diabetes Association Conference.

Imrisek SD, et al.

2022

Awareness of Cardiovascular Disease Risk in People with Type 2 Diabetes

2022 American Diabetes Association Conference.

Nagra H, et al.

2022

Health Inequity in Diabetes Technology Use: Are mHealth Apps the Solution We've Been Waiting For?

Society for Behavioral Medicine Meeting.

Nagra H, et al.

2022

Health Inequity in Diabetes Technology Use: Are mHealth Apps the Solution We've Been Waiting For?

Society for Behavioral Medicine Meeting.

Nagra H, et al.

2022

Health Inequity in Diabetes Technology Use: Are mHealth Apps the Solution We've Been Waiting For?

Society for Behavioral Medicine Meeting.

Sears LE, et al.

2021

One Drop Digital App and Coaching Improves Lifestyle Risks, Glycemic Control and Psychological Well-being in People with Hypertension and Type 2 Diabetes

Circulation 2021;144:A9597.

Sears LE, et al.

2021

One Drop Digital App and Coaching Improves Lifestyle Risks, Glycemic Control and Psychological Well-being in People with Hypertension and Type 2 Diabetes

Circulation 2021;144:A9597.

Sears LE, et al.

2021

One Drop Digital App and Coaching Improves Lifestyle Risks, Glycemic Control and Psychological Well-being in People with Hypertension and Type 2 Diabetes

Circulation 2021;144:A9597.

Sears LE, et al.

2021

One Drop's Multicondition Program is Associated with Blood Pressure Reduction in Employees with High Blood Pressure and Maintenance for Employees with Blood Pressure in Range

Circulation 2021;144:A11410.

Sears LE, et al.

2021

One Drop's Multicondition Program is Associated with Blood Pressure Reduction in Employees with High Blood Pressure and Maintenance for Employees with Blood Pressure in Range

Circulation 2021;144:A11410.

Sears LE, et al.

2021

One Drop's Multicondition Program is Associated with Blood Pressure Reduction in Employees with High Blood Pressure and Maintenance for Employees with Blood Pressure in Range

Circulation 2021;144:A11410.

Sears LE, et al.

2021

The Effects of One Drop Digital Program on Weight Reduction in Overweight and Obese Employees with Prediabetes

2021 Diabetes Technology Meeting.

Sears LE, et al.

2021

The Effects of One Drop Digital Program on Weight Reduction in Overweight and Obese Employees with Prediabetes

2021 Diabetes Technology Meeting.

Sears LE, et al.

2021

The Effects of One Drop Digital Program on Weight Reduction in Overweight and Obese Employees with Prediabetes

2021 Diabetes Technology Meeting.

Nagra H, Sears L, Hoy-Rosas J

2022

Techquity: Strategies to inform and enhance health equity in digital health design

Annals of Behavioral Medicine.

Nagra H, Sears L, Hoy-Rosas J

2022

Techquity: Strategies to inform and enhance health equity in digital health design

Annals of Behavioral Medicine.

Nagra H, Sears L, Hoy-Rosas J

2022

Techquity: Strategies to inform and enhance health equity in digital health design

Annals of Behavioral Medicine.

Nagra H, Goel A, Goldner D

2022

Reducing Treatment Burden Among People with Chronic Conditions Using Machine Learning

JMIR Biomed Eng (forthcoming).

Nagra H, Goel A, Goldner D

2022

Reducing Treatment Burden Among People with Chronic Conditions Using Machine Learning

JMIR Biomed Eng (forthcoming).

Nagra H, Goel A, Goldner D

2022

Reducing Treatment Burden Among People with Chronic Conditions Using Machine Learning

JMIR Biomed Eng (forthcoming).

Wexler Y, Guerra G, Patel P, Sears L, Goldner D, Dachis J

2021

Measuring Continuous Changes in Individual Cardiovascular Risk for People With Diabetes and PreDiabetes

Circulation. 2021;144:A12390.

Wexler Y, Guerra G, Patel P, Sears L, Goldner D, Dachis J

2021

Measuring Continuous Changes in Individual Cardiovascular Risk for People With Diabetes and PreDiabetes

Circulation. 2021;144:A12390.

Wexler Y, Guerra G, Patel P, Sears L, Goldner D, Dachis J

2021

Measuring Continuous Changes in Individual Cardiovascular Risk for People With Diabetes and PreDiabetes

Circulation. 2021;144:A12390.

Wexler Y, Guerra G, Patel P, Sears L, Goldner D, Dachis J

2021

Measuring Continuous Changes in Individual Cardiovascular Risk for People With Diabetes and PreDiabetes

Circulation. 2021;144:A12359.

Wexler Y, Guerra G, Patel P, Sears L, Goldner D, Dachis J

2021

Measuring Continuous Changes in Individual Cardiovascular Risk for People With Diabetes and PreDiabetes

Circulation. 2021;144:A12359.

Wexler Y, Guerra G, Patel P, Sears L, Goldner D, Dachis J

2021

Measuring Continuous Changes in Individual Cardiovascular Risk for People With Diabetes and PreDiabetes

Circulation. 2021;144:A12359.

Wexler Y, Goldner D

2021

Large-Scale Association of Basal Metabolic Rate and Blood Glucose Outcomes in People with Type 2 Diabetes

Diabetes 1 June 2021, 496-P.

Wexler Y, Goldner D

2021

Large-Scale Association of Basal Metabolic Rate and Blood Glucose Outcomes in People with Type 2 Diabetes

Diabetes 1 June 2021, 496-P.

Wexler Y, Goldner D

2021

Large-Scale Association of Basal Metabolic Rate and Blood Glucose Outcomes in People with Type 2 Diabetes

Diabetes 1 June 2021, 496-P.

Wexler Y, Goldner D

2021

Estimating Basal Metabolic Rate in People with Diabetes

Diabetes 1 June 2021, 39-LB.

Wexler Y, Goldner D

2021

Estimating Basal Metabolic Rate in People with Diabetes

Diabetes 1 June 2021, 39-LB.

Wexler Y, Goldner D

2021

Estimating Basal Metabolic Rate in People with Diabetes

Diabetes 1 June 2021, 39-LB.

Goldner D, et al.

2021

Poster presentation at: Advanced Technologies and Treatments for Diabetes, June 2021

Advanced Technologies and Treatments for Diabetes, June 2021 (Virtual).

Goldner D, et al.

2021

Poster presentation at: Advanced Technologies and Treatments for Diabetes, June 2021

Advanced Technologies and Treatments for Diabetes, June 2021 (Virtual).

Goldner D, et al.

2021

Poster presentation at: Advanced Technologies and Treatments for Diabetes, June 2021

Advanced Technologies and Treatments for Diabetes, June 2021 (Virtual).

Wexler Y, et al.

2020

One- to Six-Month Outcomes Forecasts for Diabetes and Related Conditions

American Diabetes Association 80th Scientific Sessions. June 12-16, 2020.

Wexler Y, et al.

2020

One- to Six-Month Outcomes Forecasts for Diabetes and Related Conditions

American Diabetes Association 80th Scientific Sessions. June 12-16, 2020.

Wexler Y, et al.

2020

One- to Six-Month Outcomes Forecasts for Diabetes and Related Conditions

American Diabetes Association 80th Scientific Sessions. June 12-16, 2020.

Goldner D

2020

Yes, glucose monitoring can predict the future

Oral presentation at: Diabetes Technology Meeting; November 2020.

Goldner D

2020

Yes, glucose monitoring can predict the future

Oral presentation at: Diabetes Technology Meeting; November 2020.

Goldner D

2020

Yes, glucose monitoring can predict the future

Oral presentation at: Diabetes Technology Meeting; November 2020.

Wexler Y, et al.

2020

Poster presentation at: Diabetes Technology Meeting, November 2020

Diabetes Technology Meeting; November 2020.

Wexler Y, et al.

2020

Poster presentation at: Diabetes Technology Meeting, November 2020

Diabetes Technology Meeting; November 2020.

Wexler Y, et al.

2020

Poster presentation at: Diabetes Technology Meeting, November 2020

Diabetes Technology Meeting; November 2020.

Wexler Y, et al.

2020

Overnight Hypoglycemia Prediction for CGM Users

American Diabetes Association 80th Scientific Sessions. June 12-16, 2020.

Wexler Y, et al.

2020

Overnight Hypoglycemia Prediction for CGM Users

American Diabetes Association 80th Scientific Sessions. June 12-16, 2020.

Wexler Y, et al.

2020

Overnight Hypoglycemia Prediction for CGM Users

American Diabetes Association 80th Scientific Sessions. June 12-16, 2020.

Wexler Y, et al.

2020

Hypo- And Hyperglycemia Prediction From Pooled Continuous Glucose Monitor Data

Diabetes Technology and Therapeutics, Feb 2020.

Wexler Y, et al.

2020

Hypo- And Hyperglycemia Prediction From Pooled Continuous Glucose Monitor Data

Diabetes Technology and Therapeutics, Feb 2020.

Wexler Y, et al.

2020

Hypo- And Hyperglycemia Prediction From Pooled Continuous Glucose Monitor Data

Diabetes Technology and Therapeutics, Feb 2020.

Goldner D, et al.

2019

Reported Utility of Automated Blood Glucose Forecasts

Diabetes Jun 2019, 68(Supplement 1) 49-LB.

Goldner D, et al.

2019

Reported Utility of Automated Blood Glucose Forecasts

Diabetes Jun 2019, 68(Supplement 1) 49-LB.

Goldner D, et al.

2019

Reported Utility of Automated Blood Glucose Forecasts

Diabetes Jun 2019, 68(Supplement 1) 49-LB.

Wexler Y, et al.

2020

Blood glucose prediction from pooled continuous glucose monitor data

Journal of Diabetes Science and Technology. Volume 14 issue 2, pages 361-492.

Wexler Y, et al.

2020

Blood glucose prediction from pooled continuous glucose monitor data

Journal of Diabetes Science and Technology. Volume 14 issue 2, pages 361-492.

Wexler Y, et al.

2020

Blood glucose prediction from pooled continuous glucose monitor data

Journal of Diabetes Science and Technology. Volume 14 issue 2, pages 361-492.

Goldner D, et al.

2018

A Machine-Learning Model Accurately Predicts Projected Blood Glucose

Diabetes Jul 2018, 67(Supplement 1) 46-LB.

Goldner D, et al.

2018

A Machine-Learning Model Accurately Predicts Projected Blood Glucose

Diabetes Jul 2018, 67(Supplement 1) 46-LB.

Goldner D, et al.

2018

A Machine-Learning Model Accurately Predicts Projected Blood Glucose

Diabetes Jul 2018, 67(Supplement 1) 46-LB.