Henrik Bengtsson

Feasibility of a New Approach to Initiate Insulin in Type 2 Diabetes

N. K. Poulsen, K. Nørgaard, Dimitri Boiroux, 2020, Journal of diabetes science and technology.

Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data

Ali Mohebbi, Alexander R. Johansen, Henrik Bengtsson, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Injection site microflora in persons with diabetes: why needle reuse is not associated with increased infections?

T. Bjarnsholt, Henrik Bengtsson, L. Bay, 2022, APMIS : acta pathologica, microbiologica, et immunologica Scandinavica.

Correlation in Dose-Response to Rapid- and Long-Acting Insulin for People with Type 1 Diabetes

J. B. Jørgensen, T. B. Aradóttir, Henrik Bengtsson, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Characterization of pig skin microbiome and appraisal as an in vivo subcutaneous injection model

T. Bjarnsholt, Henrik Bengtsson, L. Bay, 2022, Laboratory animals.

The Diabetes teleMonitoring of patients in insulin Therapy (DiaMonT) trial: study protocol for a randomized controlled trial

T. B. Aradóttir, Henrik Bengtsson, M. H. Jensen, 2022, Trials.

Influence of hypodermic needle dimensions on subcutaneous injection delivery – a pig study of injection deposition evaluated by CT scanning, histology, and backflow

J. Kildegaard, Henrik Bengtsson, J. Serup, 2012, Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging.

Effects of everyday life events on glucose, insulin, and glucagon dynamics in continuous subcutaneous insulin infusion-treated type 1 diabetes: collection of clinical data for glucose modeling.

Henrik Madsen, Henrik Bengtsson, John Bagterp Jørgensen, 2012, Diabetes technology & therapeutics.

Estimating a Personalized Basal Insulin Dose from Short-Term Closed-Loop Data in Type 2 Diabetes

J. B. Jørgensen, T. Ritschel, Henrik Bengtsson, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

Machine Learning-Based Adherence Detection of Type 2 Diabetes Patients on Once-Daily Basal Insulin Injections

Morten Mørup, Ali Mohebbi, Henrik Bengtsson, 2020, Journal of diabetes science and technology.

Model predictive control for dose guidance in long acting insulin treatment of type 2 diabetes

J. B. Jørgensen, N. K. Poulsen, Dimitri Boiroux, 2019, IFAC J. Syst. Control..

Model predictive control with sub-frequency actuation for long acting insulin treatment in type 2 diabetes

Henrik Bengtsson, Dimitri Boiroux, Niels K. Poulsen, 2019, 2019 IEEE Conference on Control Technology and Applications (CCTA).

Modelling of fasting glucose-insulin dynamics from sparse data*

Niels Kjølstad Poulsen, Tinna Björk Aradóttir, Dimitri Boiroux, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Model for Simulating Fasting Glucose in Type 2 Diabetes and the Effect of Adherence to Treatment.

Henrik Bengtsson, Dimitri Boiroux, John Bagterp Jørgensen, 2017 .

Modelling of glucose-insulin dynamics from low sampled data

Niels Kjølstad Poulsen, Henrik Bengtsson, Dimitri Boiroux, 2018 .

Early Glycemic Control Assessment Based on Consensus CGM Metrics*

Morten Mørup, Ali Mohebbi, Henrik Bengtsson, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

A deep learning approach to adherence detection for type 2 diabetics

Morten Mørup, Ali Mohebbi, Tinna B. Aradottir, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data

Alexander R. Johansen, M. Mørup, Nicklas Hansen, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).