Faculty

Institution

Unit

Venue

Dr. Navid Resalat

Oregon Health & Science University

Affiliations

Department Of Artificial Intelligence For Medical Systems

NoneDr. Navid Resalat 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. Navid Resalat

Oregon Health & Science University

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diabetes health sciences artificial pancreas physiology endocrinology diabetes care health informatics diabetes management pharmacology biostatistics exercise physiology digital health machine learning biomedical informatics diabetes technology accelerometers biomedical modeling model predictive control insulin delivery heart rate health care obesity diabetes therapies health systems respiratory medicine clinical nutrition biomedical analysis health information science machine learning research automatic control health technology experimental medicine process control exercise science chronic disease management disease management health data biomedical data analysis biomedical data science biomedical technologies recurrent neural networks adaptive control connected health ehealth intermittently connected device health monitoring insulin management blood glucose monitoring dual-hormone closed-loop systems dual-hormone artificial pancreas sensor-augmented pump therapy exercise detection glucoregulatory system integrated exercise model aerobic exercise big dataset control inputs model identification exercise model metabolic expenditure information randomised clinical trial wearable fitness sensors postprandial hypoglycemia

Notable Scholarly Works

Notable Federal Grants

Collaborators

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

Dual-Hormone Closed Loop System Using a Liquid Stable Glucagon Formulation Versus Insulin-Only Closed Loop System Compared to a Predictive Low Glucose Suspend System: An Open Label, Outpatient, Single Center, Crossover, Randomized Control Trial. (2020)

diabetes carehealth sciencesblood glucose monitoringdiabetes technologydiabetes managementmedicineartificial pancreasclinical trialsdiabetes

1038-P: Results of Interim Analysis of a Randomized Crossover Study in Type 1 Diabetes (T1D) of a Dual-Hormone Closed-Loop System With Xerisol™ Glucagon vs. Insulin-Only Closed-Loop System vs. a Predictive Low Glucose Suspend System. Diabetes (2019)

diabetes carebiostatisticsinsulin managementartificial pancreasphysiologyrandomized crossover studydiabetes technologydiabetes managementinterim analysisinsulin deliveryendocrinologyhealth sciencesdiabetestype 1

1051-P: Improving Glycemic Outcomes in T1D Using an Automated Decision Support Recommender System: Evaluation in Silico and Compared With Physician Recommendations. Diabetes (2019)

NICHOLE S. TYLERCLARA M. MOSQUERA-LOPEZLEAH M. WILSONNAVID RESALATROBERT DODIERDEBORAH BRANIGANVIRGINIA GABOJOSEPH EL YOUSSEFJESSICA R. CASTLEPETER G. JACOBS

glycemic outcomeshealth sciencesdiabetesphysician recommendations

Adaptive Control of an Artificial Pancreas Using Model Identification, Adaptive Postprandial Insulin Delivery, and Heart Rate and Accelerometry as Control Inputs. Journal of Diabetes Science and Technology (2019)

Navid ResalatWade HiltsJoseph El YoussefNichole TylerJessica R. CastlePeter G. Jacobs

accelerometersheart ratecontrol inputsmodel identificationadaptive controlartificial pancreashealth sciencesdiabetes

Adaptive Tuning of Basal and Bolus Insulin to Reduce Postprandial Hypoglycemia in a Hybrid Artificial Pancreas. Journal of Process Control (2019)

Navid ResalatJoseph El YoussefRavi ReddyJessica CastlePeter G. Jacobs

postprandial hypoglycemiahybrid artificial pancreasprocess controlbolus insulinadaptive tuningpharmacologyartificial pancreasendocrinologydiabetes

A Statistical Virtual Patient Population for the Glucoregulatory System in Type 1 Diabetes With Integrated Exercise Model. PLoS ONE (2019)

Navid ResalatJoseph El YoussefNichole TylerJessica CastlePeter G. Jacobs

chronic disease managementdiabetes managementdiabetes therapieshealth systemspharmacologyhealth informaticsnephrologyglucoregulatory systembiomedical modelingstatisticsrespiratory medicineendocrinologydisease managementdiabetesdiabetes carebiostatisticsintegrated exercise modeldigital healthclinical nutritionhealth data

Leveraging a Big Dataset to Develop a Recurrent Neural Network to Predict Adverse Glycemic Events in Type 1 Diabetes. IEEE Journal of Biomedical and Health Informatics (2019)

Clara Mosquera-LopezRobert DodierNichole TylerNavid ResalatPeter Jacobs

big datasetbiomedical data analysisbig datahealth informaticspredictive analyticsbiomedical informaticsbiomedical analysisbiomedical data sciencebiomedical technologiesrecurrent neural networkshealth information sciencebiomedical engineeringmachine learning researchdata sciencebiomedical modelinghealth sciencesdiabetesmachine learning

Prediction of Hypoglycemia During Aerobic Exercise in Adults With Type 1 Diabetes. Journal of Diabetes Science and Technology (2019)

Ravi ReddyNavid ResalatLeah M. WilsonJessica R. CastleJoseph El YoussefPeter G. Jacobs

physiologyaerobic exercisediabetes

Randomized Outpatient Trial of Single- and Dual-Hormone Closed-Loop Systems That Adapt to Exercise Using Wearable Sensors. Diabetes Care (2018)

Jessica R. CastleJoseph El YoussefLeah M. WilsonRavi ReddyNavid ResalatDeborah BraniganKatrina RamseyJoseph LeitschuhUma RajhbeharrysinghBrian SenfSamuel M. SugermanVirginia GaboPeter G. Jacobs

diabetes carehealth caredual-hormone closed-loop systemshealth sciencesdiabetes

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Dr. Navid Resalat

Oregon Health & Science University

Affiliations

Department Of Artificial Intelligence For Medical Systems

NoneDr. Navid Resalat 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. Navid Resalat

Oregon Health & Science University

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

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)

diabetes carehealth sciencesblood glucose monitoringdiabetes technologydiabetes managementmedicineartificial pancreasclinical trialsdiabetes

1051-P: Improving Glycemic Outcomes in T1D Using an Automated Decision Support Recommender System: Evaluation in Silico and Compared With Physician Recommendations. Diabetes (2019)

NICHOLE S. TYLERCLARA M. MOSQUERA-LOPEZLEAH M. WILSONNAVID RESALATROBERT DODIERDEBORAH BRANIGANVIRGINIA GABOJOSEPH EL YOUSSEFJESSICA R. CASTLEPETER G. JACOBS

glycemic outcomeshealth sciencesdiabetesphysician recommendations

Navid ResalatWade HiltsJoseph El YoussefNichole TylerJessica R. CastlePeter G. Jacobs

accelerometersheart ratecontrol inputsmodel identificationadaptive controlartificial pancreashealth sciencesdiabetes

Adaptive Tuning of Basal and Bolus Insulin to Reduce Postprandial Hypoglycemia in a Hybrid Artificial Pancreas. Journal of Process Control (2019)

Navid ResalatJoseph El YoussefRavi ReddyJessica CastlePeter G. Jacobs

postprandial hypoglycemiahybrid artificial pancreasprocess controlbolus insulinadaptive tuningpharmacologyartificial pancreasendocrinologydiabetes

A Statistical Virtual Patient Population for the Glucoregulatory System in Type 1 Diabetes With Integrated Exercise Model. PLoS ONE (2019)

Navid ResalatJoseph El YoussefNichole TylerJessica CastlePeter G. Jacobs

Leveraging a Big Dataset to Develop a Recurrent Neural Network to Predict Adverse Glycemic Events in Type 1 Diabetes. IEEE Journal of Biomedical and Health Informatics (2019)

Clara Mosquera-LopezRobert DodierNichole TylerNavid ResalatPeter Jacobs

Prediction of Hypoglycemia During Aerobic Exercise in Adults With Type 1 Diabetes. Journal of Diabetes Science and Technology (2019)

Ravi ReddyNavid ResalatLeah M. WilsonJessica R. CastleJoseph El YoussefPeter G. Jacobs

physiologyaerobic exercisediabetes

Randomized Outpatient Trial of Single- and Dual-Hormone Closed-Loop Systems That Adapt to Exercise Using Wearable Sensors. Diabetes Care (2018)

Jessica R. CastleJoseph El YoussefLeah M. WilsonRavi ReddyNavid ResalatDeborah BraniganKatrina RamseyJoseph LeitschuhUma RajhbeharrysinghBrian SenfSamuel M. SugermanVirginia GaboPeter G. Jacobs

diabetes carehealth caredual-hormone closed-loop systemshealth sciencesdiabetes

1
2
10 / page