Faculty

Institution

Unit

Venue

Dr. Robert Dodier

Oregon Health & Science University

Affiliations

Department Of Artificial Intelligence For Medical Systems

NoneDr. Robert Dodier is currently serving as a Artificial Intelligence For Medical Systems faculty at Oregon Health & Science University.

Honors

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Experiences

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Education

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Dr. Robert Dodier

Oregon Health & Science University

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diabetes diabetes technology health sciences diabetes management systems engineering artificial intelligence diabetes therapies biomedical informatics diabetes care insulin delivery blood glucose monitoring health informatics machine learning health technology diabetes research medical decision making medical decision analysis insulin management artificial pancreas computer science health policy intelligent systems predictive analytics big data wearable technology symptom management machine learning research biomedical analysis health information science experimental medicine diabetic medicine control optimization disease management automated decision-making biomedical data analysis biomedical data science biomedical technologies recurrent neural networks biomedical modeling connected health intermittently connected device ehealth health monitoring clinical decision support systems diabetes mellitus feedback loop intelligent control control strategies model predictive control decision theoretic analysis nocturnal hypoglycemia big data analytics big dataset wearable fitness sensors metabolic expenditure information randomised clinical trial decision support system digital twin models glucose patterns glycemic outcomes physician recommendations insulin closed-loop system postmeal glucose type 1 artificial-intelligence decision support

Notable Scholarly Works

Notable Federal Grants

Collaborators

PHYSIOSEQ2SEQ: A Hybrid Physiological Digital Twin and Sequence-To-Sequence LSTM for Long-Horizon Glucose Forecasting in Type 1 Diabetes. arXiv (Cornell University) (2026)

biomedical informaticsblood glucose monitoringdiabetes technologydiabetes researchdata sciencediabetestime series

2012-Lb: AI-Based Meal Detection Enables Fully-Automated Pramlintide and Insulin Closed-Loop System to Improve Postmeal Glucose in Type 1 Diabetes (T1D). Diabetes (2025)

diabetes carebiostatisticsartificial pancreasblood glucose monitoringdiabetesdiabetes technologydiabetes managementinsulin closed-loop systeminsulin deliverypostmeal glucosehealth sciencespersonalized medicinetype 1

An AI-Enabled Dual-Hormone Model Predictive Control Algorithm That Delivers Insulin and Pramlintide. IFAC-PapersOnLine (2025)

insulin managementsystems engineeringintelligent controlartificial pancreasdiabetes technologycontrol strategiescontrol optimizationcontrol systemsmodel predictive controlsystems biologydiabetes

Identifying and Intervening on Glucose Patterns in Multivariate Data Using Block-Based Recurrence Quantification Analysis. Journal of Diabetes Science and Technology (2025)

diabetes carebiostatisticsblood glucose monitoringdiabetes technologyglucose patternsdiabetes researchstatisticsdiabetes managementapplied statisticshealth sciencesdiabetestime series

Design and in Silico Evaluation of an Exercise Decision Support System Using Digital Twin Models. Journal of Diabetes Science and Technology (2024)

Gavin YoungRobert DodierJoseph El YoussefJessica R. CastleLeah WilsonMichael C. RiddellPeter G. Jacobs

diabetes mellitusdiabetes technologydigital twin modelsdiabetes managementkinesiologydiabetesfeedback loop

Integrating Metabolic Expenditure Information From Wearable Fitness Sensors Into an AI-Augmented Automated Insulin Delivery System: A Randomised Clinical Trial. The Lancet Digital Health (2023)

Peter G JacobsNavid ResalatWade HiltsGavin M YoungJoseph LeitschuhJoseph PinsonaultJoseph El YoussefDeborah BraniganVirginia GaboJae EomKatrina RamseyRobert DodierClara Mosquera-LopezLeah M WilsonJessica R Castle

artificial intelligenceexercise physiologyconnected healthmetabolic expenditure informationrandomised clinical trialsystems engineeringphysiologyehealthinsulin deliveryhealth sciencesbiomedical informaticswearable technologyintermittently connected devicediabeteshealth monitoringdigital healthhealth technologyexperimental medicinewearable fitness sensors

Assessment of a Decision Support System for Adults With Type 1 Diabetes on Multiple Daily Insulin Injections. Diabetes Technology & Therapeutics (2022)

diabetes careinsulin managementclinical decision support systemsdiabetes technologydiabetes managementhealth technologydiabetic medicinemedical decision analysisdecision support systemmedicinepharmacologymedical decision makingdiabetesdiabetes therapies

993-P: Comparison of Artificial-Intelligence Decision Support for Multiple Daily Injection Therapy With Automated Insulin Delivery After 3 Months of Use in Silico. Diabetes (2020)

Nichole S. TylerWade HiltsClara M. Mosquera-LopezLeah M. WilsonRobert DodierJoseph El YoussefJessica R. CastlePeter G. Jacobs

artificial intelligenceautomated insulin deliveryartificial-intelligence decision supportmedicineinsulin deliverydiabetesmachine learningdiabetes therapies

An Artificial Intelligence Decision Support System for the Management of Type 1 Diabetes. Nature Metabolism (2020)

Nichole S. TylerClara M. Mosquera-LopezLeah M. WilsonRobert H. DodierDeborah L. BraniganVirginia B. GaboFlorian H. GuillotWade W. HiltsJoseph El YoussefJessica R. CastlePeter G. Jacobs

health policycomputer sciencesystems engineeringartificial intelligencehealth informaticsintelligent systemssymptom managementdiabetes managementmedical decision analysisautomated decision-makingmedical decision makingdisease managementdiabetesdiabetes therapies

Predicting and Preventing Nocturnal Hypoglycemia in Type 1 Diabetes Using Big Data Analytics and Decision Theoretic Analysis. Diabetes Technology & Therapeutics (2020)

Clara Mosquera-LopezRobert DodierNichole S. TylerLeah M. WilsonJoseph El YoussefJessica R. CastlePeter G. Jacobs

decision theoretic analysisnocturnal hypoglycemiadiabetes technologybig data analyticshealth sciencesdiabetes

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Dr. Robert Dodier

Oregon Health & Science University

Affiliations

Department Of Artificial Intelligence For Medical Systems

NoneDr. Robert Dodier is currently serving as a Artificial Intelligence For Medical Systems faculty at Oregon Health & Science University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Dr. Robert Dodier

Oregon Health & Science University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

PHYSIOSEQ2SEQ: A Hybrid Physiological Digital Twin and Sequence-To-Sequence LSTM for Long-Horizon Glucose Forecasting in Type 1 Diabetes. arXiv (Cornell University) (2026)

biomedical informaticsblood glucose monitoringdiabetes technologydiabetes researchdata sciencediabetestime series

2012-Lb: AI-Based Meal Detection Enables Fully-Automated Pramlintide and Insulin Closed-Loop System to Improve Postmeal Glucose in Type 1 Diabetes (T1D). Diabetes (2025)

An AI-Enabled Dual-Hormone Model Predictive Control Algorithm That Delivers Insulin and Pramlintide. IFAC-PapersOnLine (2025)

insulin managementsystems engineeringintelligent controlartificial pancreasdiabetes technologycontrol strategiescontrol optimizationcontrol systemsmodel predictive controlsystems biologydiabetes

Identifying and Intervening on Glucose Patterns in Multivariate Data Using Block-Based Recurrence Quantification Analysis. Journal of Diabetes Science and Technology (2025)

diabetes carebiostatisticsblood glucose monitoringdiabetes technologyglucose patternsdiabetes researchstatisticsdiabetes managementapplied statisticshealth sciencesdiabetestime series

Design and in Silico Evaluation of an Exercise Decision Support System Using Digital Twin Models. Journal of Diabetes Science and Technology (2024)

Gavin YoungRobert DodierJoseph El YoussefJessica R. CastleLeah WilsonMichael C. RiddellPeter G. Jacobs

diabetes mellitusdiabetes technologydigital twin modelsdiabetes managementkinesiologydiabetesfeedback loop

Integrating Metabolic Expenditure Information From Wearable Fitness Sensors Into an AI-Augmented Automated Insulin Delivery System: A Randomised Clinical Trial. The Lancet Digital Health (2023)

Assessment of a Decision Support System for Adults With Type 1 Diabetes on Multiple Daily Insulin Injections. Diabetes Technology & Therapeutics (2022)

993-P: Comparison of Artificial-Intelligence Decision Support for Multiple Daily Injection Therapy With Automated Insulin Delivery After 3 Months of Use in Silico. Diabetes (2020)

Nichole S. TylerWade HiltsClara M. Mosquera-LopezLeah M. WilsonRobert DodierJoseph El YoussefJessica R. CastlePeter G. Jacobs

artificial intelligenceautomated insulin deliveryartificial-intelligence decision supportmedicineinsulin deliverydiabetesmachine learningdiabetes therapies

An Artificial Intelligence Decision Support System for the Management of Type 1 Diabetes. Nature Metabolism (2020)

Nichole S. TylerClara M. Mosquera-LopezLeah M. WilsonRobert H. DodierDeborah L. BraniganVirginia B. GaboFlorian H. GuillotWade W. HiltsJoseph El YoussefJessica R. CastlePeter G. Jacobs

Predicting and Preventing Nocturnal Hypoglycemia in Type 1 Diabetes Using Big Data Analytics and Decision Theoretic Analysis. Diabetes Technology & Therapeutics (2020)

Clara Mosquera-LopezRobert DodierNichole S. TylerLeah M. WilsonJoseph El YoussefJessica R. CastlePeter G. Jacobs

decision theoretic analysisnocturnal hypoglycemiadiabetes technologybig data analyticshealth sciencesdiabetes

1
2
10 / page