DMMS.R is a computer application designed for conducting clinical studies in virtual subjects with T1, T2 or Pre-Diabetes. It provides a unique in silico environment for testing diabetes treatment and monitoring interventions, and is ideal for modeling new devices or examining treatment protocols and dosing algorithms.

Sun Q, Jankovic MV, Mougiakakou SG. Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy. Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:3609-3612  Link

Sieber J, Weinheimer M, Kongable G, Riddle S, Chang YY, Flacke F. In Silico Examination of Initiation of Long-Acting Insulin Analogs Toujeo Compared to Lantus Under 3 Dosing Titration Rules in Virtual Type 2 Diabetes Subjects. J Diabetes Sci Technol. 2019 Jul 9:1932296819861586. doi: 10.1177/1932296819861586 Link


T1DMS is revolutionizing the process by which researchers are making new discoveries for treating and managing Type 1 Diabetes.  See below for peer-reviewed scientific manuscripts that are related to or made possible by T1DMS technologies:

Noaro G, Cappon G, Sparacino G, Boscari F, Bruttomesso D, Facchinetti A. Methods for Insulin Bolus Adjustment Based on the Continuous Glucose Monitoring Trend Arrows in Type 1 Diabetes: Performance and Safety Assessment in an In Silico Clinical Trial  J Diabetes Sci Technol. 2021 Sep 6:19322968211043162. Link

Olcomendy L, Pirog A, Lebreton F, Jaffredo M, Cassany L, Gucik Derigny D, Cieslak J, Henry D, Lang J, Catargi B, Raoux M, Bornat Y, Renaud S. Integrating an Islet-Based Biosensor in the Artificial Pancreas: In Silico Proof-of-Concept  IEEE Trans Biomed Eng. 2021 Sep 1;PP. doi: 10.1109/TBME.2021.3109096. Online ahead of print. Link

Rios YY, García-Rodríguez JA, Sanchez EN, Alanis AY, Ruiz-Velázquez E, Pardo Garcia A. Treatment for T1DM patients by a neuro-fuzzy inverse optimal controller including multi-step prediction ISA Trans. 2021 Aug 11:S0019-0578(21)00412-2. doi: 10.1016/j.isatra.2021.07.045. Online ahead of print. Link

Schmitzer J, Strobel C, Blechschmidt R, Tappe A, Peuscher H. Efficient Closed Loop Simulation of Do-It-Yourself Artificial Pancreas Systems  J Diabetes Sci Technol. 2021 Jul 30:19322968211032249. doi: 10.1177/19322968211032249 Link

Chakrabarty A, Healey E, Shi D, Zavitsanou S, Doyle FJ 3rd, Dassau E. Embedded Model Predictive Control for a Wearable Artificial Pancreas IEEE Trans Control Syst Technol. 2020 Nov;28(6):2600-2607. Link

Astillo PV, Choudhary G, Duguma DG, Kim J, You I. TrMAps: Trust Management in Specification-based Misbehavior Detection System for IMD-Enabled Artificial Pancreas System  IEEE J Biomed Health Inform. 2021 Mar 2;PP. doi: 10.1109/JBHI.2021.3063173. Link

Hughes J, Gautier T, Colmegna P, Fabris C, Breton MD. Replay Simulations with Personalized Metabolic Model for Treatment Design and Evaluation in Type 1 Diabetes  J Diabetes Sci Technol. 2020 Nov 20:1932296820973193. doi: 10.1177/1932296820973193. Online ahead of print. Link

Zhu T, Li K, Kuang L, Herrero P, Georgiou P. An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning  Sensors (Basel). 2020 Sep 6;20(18):E5058. doi: 10.3390/s20185058. Link

Çankaya, N, Aydoğdu, Ö. Three Parameter Control Algorithm for Obtaining Ideal Postprandial Blood Glucose in Type 1 Diabetes Mellitus   IEEE Access 2020 Aug 20 epub ahead of print_152305-152315_ DOI: 10.1109/ACCESS.2020.3015454 Link

Garcia-Tirado J, Corbett JP, Boiroux D, Jørgensen JB, Breton MD. Closed-Loop Control with Unannounced Exercise for Adults with Type 1 Diabetes using the Ensemble Model Predictive Control   J Process Control. 2019 Aug;80:202-210. doi: 10.1016/j.jprocont.2019.05.017. Epub 2019 Jun 23.. Link

Zhu T, Li K, Herrero P, Georgiou P. Basal Glucose Control in Type 1 Diabetes using Deep Reinforcement Learning: An In Silico Validation  IEEE J Biomed Health Inform. 2020 Aug 5;PP. doi: 10.1109/JBHI.2020.3014556. Online ahead of print.. Link

Lee S, Kim J, Park SW, Jin SM, Park SM. Toward a Fully Automated Artificial Pancreas System Using a Bioinspired Reinforcement Learning Design: In Silico Validation IEEE J Biomed Health Inform. 2020 Jun 12;PP. doi: 10.1109/JBHI.2020.3002022. Online ahead of print. Link

Meneghetti L, Facchinetti A, Del Favero S. Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy  IEEE Trans Biomed Eng. 2020 Jun 22;PP. doi: 10.1109/TBME.2020.3004270. Online ahead of print. Link

Noaro G, Cappon G, Vettoretti M, Sparacino G, Del Favero S, Facchinetti A. Machine-Learning Based Model to Improve Insulin Bolus Calculation in Type 1 Diabetes Therapy IEEE Trans Biomed Eng. 2020 Jun 22;PP. doi: 10.1109/TBME.2020.3004031. Online ahead of print. Link

Fushimi E, Serafini MC, De Battista H, Garelli F. Automatic glycemic regulation for the pediatric population based on switched control and time-varying IOB constraints: an in silico study Med Biol Eng Comput. 2020 Jul 24. doi: 10.1007/s11517-020-02213-w. Online ahead of print. Link

Colmegna P, Cengiz E, Garcia-Tirado J, Kraemer K, Breton MD. Impact of Accelerating Insulin on an Artificial Pancreas System Without Meal Announcement: An In Silico Examination J Diabetes Sci Technol. 2020 Jun 17:1932296820928067. doi: 10.1177/1932296820928067. Online ahead of print. Link

Roversi C, Vettoretti M, Del Favero S, Facchinetti A, Sparacino G. Modeling carbohydrate counting error in type 1 diabetes management. Diabetes Technol Ther. 2020 Mar 30. doi: 10.1089/dia.2019.0502. [Epub ahead of print] Link

Amar Y, Shilo S, Oron T, Amar E, Phillip M, Segal E.  Clinically Accurate Prediction of Glucose Levels in Patients With Type 1 Diabetes  Diabetes Technol Ther. 2020 Mar 6. doi: 10.1089/dia.2019.0435. Online ahead of print. Link

Schiavon M, Visentin R, Giegerich C, Sieber J, Dalla Man C, Cobelli C, Klabunde T. IN SILICO HEAD-TO-HEAD COMPARISON OF INSULIN GLARGINE 300 U/ML AND INSULIN DEGLUDEC 100 U/ML IN TYPE 1 DIABETES.  Diabetes Technol Ther. 2020 Mar 3. doi: 10.1089/dia.2020.0027. [Epub ahead of print  Link

Moscoso-Vasquez M, Colmegna P, Rosales N, Garelli F, Sanchez-Pena R. Control-Oriented Model with Intra-Patient Variations for an Artificial Pancreas. IEEE J Biomed Health Inform. 2020 Jan 27. doi: 10.1109/JBHI.2020.2969389. [Epub ahead of print] Link

Visser SAG, Kandala B, Fancourt C, Krug AW, Cho CR.  A Model-Informed Drug Discovery and Development Strategy for the Novel Glucose-Responsive Insulin MK-2640 Enabled Rapid Decision Making. Clin Pharmacol Ther. 2019 Dec 30. doi: 10.1002/cpt.1729. [Epub ahead of print]  Link

Camerlingo N, Vettoretti M, Del Favero S, Cappon G, Sparacino G, Facchinetti A. In-silico Assessment of Preventive Hypotreatment Efficacy and Development of a Continuous Glucose Monitoring Based Algorithm to Prevent/Mitigate Hypoglycemia in Type 1 Diabetes. Conf Proc IEEE Eng Med Biol Soc. 2019 Jul;2019:4133-4136. Link

Magdelaine N, Rivadeneira PS, Chaillous L, Fournier-Guilloux AL, Krempf M, MohammadRidha T, Ait-Ahmed M, Moog CH. Hypoglycaemia-free artificial pancreas project. IET Syst Biol. 2020 Feb;14(1):16-23. Link

Amar Y, Shilo S, Oron T, Amar E, Phillip M, Segal E. Clinically accurate prediction of glucose levels in patients with type 1 diabetes. Diabetes Technol Ther. 2020 Jan 13. doi: 10.1089/dia.2019.0435. Link

Toffanin C, Kozak M, Sumnik Z, Cobelli C, Petruzelkova L. In Silico Trials of an Open-Source Android-Based Artificial Pancreas: A New Paradigm to Test Safety and Efficacy of Do-It-Yourself Systems. Diabetes Technol Ther. 2020 Feb;22(2):112-120. Link

Garcia-Tirado J, Colmegna P, Corbett JP, Ozaslan B, Breton MD.  In Silico Analysis of an Exercise-Safe Artificial Pancreas With Multistage Model Predictive Control and Insulin Safety System. J Diabetes Sci Technol. 2019 Nov;13(6):1054-1064. Link

Moscardó V, Díez JL, Bondia J. Parallel Control of an Artificial Pancreas with Coordinated Insulin, Glucagon, and Rescue Carbohydrate Control Actions. J Diabetes Sci Technol. 2019 Nov;13(6):1026-1034. Link

Fabris C, Ozaslan B, Breton MD.  Continuous Glucose Monitors and Activity Trackers to Inform Insulin Dosing in Type 1 Diabetes: The University of Virginia Contribution. Sensors (Basel). 2019 Dec 6;19(24). pii: E5386. doi: 10.3390/s19245386. Link

Meneghetti L, Susto GA, Del Favero S. Detection of Insulin Pump Malfunctioning to Improve Safety in Artificial Pancreas Using Unsupervised Algorithms. J Diabetes Sci Technol. 2019 Oct 14:1932296819881452. doi: 10.1177/1932296819881452 Link

Liu C, Vehí J, Avari P, Reddy M, Oliver N, Georgiou P, Herrero P. Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal. Sensors (Basel). 2019 Oct 8;19(19). pii: E4338. doi: 10.3390/s19194338. Link

Camerlingo N, Vettoretti M, Del Favero S, Cappon G, Sparacino G, Facchinetti A. A Real-Time Continuous Glucose Monitoring Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic Events.  Diabetes Technol Ther. 2019 Jul 25. doi: 10.1089/dia.2019.0139. [Epub ahead of print] Link

Mandal S, Sutradhar A. Robust multi-objective blood glucose control in Type-1 diabetic patient. IET Syst Biol. 2019 Jun;13(3):136-146. doi: 10.1049/iet-syb.2018.5093. Link

Garcia-Tirado J, Zuluaga-Bedoya C, Breton MD Identifiability Analysis of Three Control-Oriented Models for Use in Artificial Pancreas Systems.  J Diabetes Sci Technol. 2018 Sep;12(5):937-952 Link

Li K, Daniels J, Liu C, Herrero-Vinas P, Georgiou P.  Convolutional Recurrent Neural Networks for Glucose Prediction. IEEE J Biomed Health Inform. 2019 Apr 1. doi: 10.1109/JBHI.2019.2908488 Link

AlMatouq AA, Laleg-Kirati TM, Novara C, Rabbone I, Vincent T. Sparse Reconstruction of Glucose Fluxes using Continuous Glucose Monitors. IEEE/ACM Trans Comput Biol Bioinform. 2019 Mar 15. doi: 10.1109/TCBB.2019.2905198. [Epub ahead of print]Link

Visentin R, Schiavon M, Giegerich C, Klabunde T, Dalla Man C, Cobelli C. Incorporating Long-Acting Insulin Glargine into the UVA/ Padova Type 1 Diabetes Simulator for In Silico Testing of MDI Therapies. IEEE Trans Biomed Eng. 2019 Feb 6. doi: 10.1109/TBME.2019.2897851. [Epub ahead of print]Link

Shi D, Dassau E, Doyle FJ 3rd. Multivariate learning framework for long-term adaptation in the artificial pancreas. Bioeng Transl Med. 2018 Nov 12;4(1):61-74. Link

Xie J, Wang Q. A Data-Driven Personalized Model of Glucose Dynamics Taking Account of the Effects of Physical Activity for Type 1 Diabetes: An In Silico Study.  J Biomech Eng. 2019 Jan 1;141(1). doi: 10.1115/1.4041522. Link

Visentin R, Schiavon M, Giegerich C, Klabunde T, Man CD, Cobelli C. Long-acting Insulin in Diabetes Therapy: In Silico Clinical Trials with the UVA/Padova Type 1 Diabetes Simulator.  Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:4905-4908. doi: 10.1109/EMBC.2018.85132 Link

Schiavon M, Acciaroli G, Vettoretti M, Giaretta A, Visentin R. A Model of Acetaminophen Pharmacokinetics and its Effect on Continuous Glucose Monitoring Sensor Measurements. Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:159-162. doi: 10.1109/EMBC.2018.8512257.. Link

Cappon G, Vettoretti M, Marturano F, Facchinetti A, Sparacino G. Optimal Insulin Bolus Dosing in Type 1 Diabetes Management: Neural Network Approach Exploiting CGM Sensor Information. Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:1-4. doi: 10.1109/EMBC.2018.8512250. Link

Feng J, Hajizadeh I, Yu X, Rashid M, Turksoy K, Samadi S, Sevil M, Hobbs N, Brandt R, Lazaro C, Maloney Z, Littlejohn E, Philipson LH, Cinar A. Multi-level Supervision and Modification of Artificial Pancreas Control System. Comput Chem Eng. 2018 Apr 6;112:57-69. doi: 10.1016/j.compchemeng.2018.02.002. Epub 2018 Feb 10. Link

Nandi S, Singh T. Glycemic Control of People with Type 1 Diabetes based on Probabilistic Constraints. IEEE J Biomed Health Inform. 2018 Sep 10. doi: 10.1109/JBHI.2018.2869365. [Epub ahead of print] Link

Garcia-Tirado J, Zuluaga-Bedoya C, Breton MD. Identifiability Analysis of Three Control-Oriented Models for Use in Artificial Pancreas Systems. J Diabetes Sci Technol. 2018 Sep;12(5):937-952. doi: 10.1177/1932296818788873. Epub 2018 Aug 10. Link

Shi D, Dassau E, Doyle Iii FJ. Adaptive Zone Model Predictive Control of Artificial Pancreas Based on Glucose- and Velocity-Dependent Control Penalties. IEEE Trans Biomed Eng. 2018 Aug 21. doi: 10.1109/TBME.2018.2866392. [Epub ahead of print] Link

Cappon G, Marturano F, Vettoretti M, Facchinetti A, Sparacino G. In Silico Assessment of Literature Insulin Bolus Calculation Methods Accounting for Glucose Rate of Change.  J Diabetes Sci Technol. 2018 May 1:1932296818777524. doi: 10.1177/1932296818777524. [Epub ahead of print] Link

Bertachi A, Beneyto A, Ramkissoon CM, Vehí J. Assessment of Mitigation Methods to Reduce the Risk of Hypoglycemia for Announced Exercise in a Uni-hormonal Artificial Pancreas. Diabetes Technol Ther. 2018 Apr;20(4):285-295. doi: 10.1089/dia.2017.0392. Epub 2018 Apr 2.] Link

Torrent-Fontbona F, Lopez Ibanez B. Personalised Adaptive CBR Bolus Recommender System for Type 1 Diabetes.  IEEE J Biomed Health Inform. 2018 Mar 9. doi: 10.1109/JBHI.2018.2813424. [Epub ahead of print] Link

Cappon G, Vettoretti M, Marturano F, Facchinetti A, Sparacino G. A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring.  J Diabetes Sci Technol. 2018 Mar;12(2):265-272 Link

Visentin R, Campos-Náñez E, Schiavon M, Lv D, Vettoretti M, Breton M, Kovatchev BP, Dalla Man C, Cobelli C. The UVA/Padova Type 1 Diabetes Simulator Goes From Single Meal to Single Day. J Diabetes Sci Technol. 2018 Feb 1:1932296818757747. doi: 10.1177/1932296818757747 Link

Steil GM. Best Use of Models to Advance the Artificial Pancreas. Diabetes Technol Ther. 2018 Feb 15. doi: 10.1089/dia.2017.0420. [Epub ahead of print]] Link

Samadi S, Rashid M, Turksoy K, Feng J, Hajizadeh I, Hobbs N, Lazaro C, Sevil M, Littlejohn E, Cinar A.  Automatic Detection and Estimation of Unannounced Meals for Multivariable Artificial Pancreas System.  Diabetes Technol Ther. 2018 Feb 6. doi: 10.1089/dia.2017.0364. [Epub ahead of print] Link

Schiavon M, Dalla Man C, Cobelli C. Insulin Sensitivity Index-Based Optimization of Insulin to Carbohydrate Ratio: In Silico Study Shows Efficacious Protection Against Hypoglycemic Events Caused by Suboptimal Therapy. Diabetes Technol Ther. 2018 Feb;20(2):98-105. Link

MohammadRidha T, Ait-Ahmed M, Chaillous L, Krempf M, Guilhem I, Poirier JY, Moog CH. Model Free iPID Control for Glycemia Regulation of Type-1 Diabetes. IEEE Trans Biomed Eng. 2018 Jan;65(1):199-206. Link

Walsh J. Issues and Ideas in Bolus Advisor Research With Commentary on “A Methodology to Compare Insulin Dosing Algorithms in Real-Life Settings”.  J Diabetes Sci Technol. 2017 Nov;11(6):1183-1186. Link

Contreras I, Oviedo S, Vettoretti M, Visentin R, Vehí J. Personalized blood glucose prediction: A hybrid approach using grammatical evolution and physiological models. PLoS One. 2017 Nov 7;12(11):e0187754. Link

Campos-Náñez E, Layne JE, Zisser HC.  In Silico Modeling of Minimal Effective Insulin Doses Using the UVA/PADOVA Type 1 Diabetes Simulator. J Diabetes Sci Technol. 2017 Sep 1:1932296817735341. Link

Fortwaengler K, Campos-Náñez E, Parkin CG, Breton MD. The Financial Impact of Inaccurate Blood Glucose Monitoring Systems. J Diabetes Sci Technol. 2017 Sep 1:193229681773142. Link

Vettoretti M, Facchinetti A, Sparacino G, Cobelli C. Type 1 diabetes patient decision simulator for in silico testing safety and effectiveness of insulin treatments  IEEE Trans Biomed Eng. 2017 Aug 29. doi: 10.1109/TBME.2017.2746340. Link

Herrero P, Bondia J, Adewuyi O, Pesl P, El-Sharkawy M, Reddy M, Toumazou C, Oliver N, Georgiou P.  Enhancing automatic closed-loop glucose control in type 1 diabetes with an adaptive meal bolus calculator – in silico evaluation under intra-day variability. Comput Methods Programs Biomed. 2017 Jul;146:125-131.  Link

Breton MD, Hinzmann R, Campos-Nañez E, Riddle S, Schoemaker M, Schmelzeisen-Redeker G. Analysis of the Accuracy and Performance of a Continuous Glucose Monitoring Sensor Prototype: An In-Silico Study Using the UVA/PADOVA Type 1 Diabetes Simulator. J Diabetes Sci Technol. 2017 May;11(3):545-552./1932296817710474. Link

Campos-Náñez E, Fortwaengler K, Breton MD. Clinical Impact of Blood Glucose Monitoring Accuracy: An In-Silico Study. J Diabetes Sci Technol. 2017 May 1:1932296817710474. doi: 10.1177/1932296817710474. Link

Chakrabarty A, Zavitsanou S, Doyle Iii F, Dassau E. Event-Triggered Model Predictive Control For Embedded Artificial Pancreas Systems. IEEE Trans Biomed Eng. 2017 May 23. doi: 10.1109/TBME.2017.2707344. Link

Xie J, Wang Q. A Variable State Dimension Approach to Meal Detection and Meal Size Estimation: In Silico Evaluation Through Basal-Bolus Insulin Therapy for Type 1 Diabetes. IEEE Trans Biomed Eng. 2017 Jun;64(6):1249-1260. Link

Viceconti M, Cobelli C, Haddad T, Himes A, Kovatchev B, Palmer M. In silico assessment of biomedical products: The conundrum of rare but not so rare events in two case studies. Proc Inst Mech Eng H. 2017 May;231(5):455-466. Link

Samadi S, Turksoy K, Hajizadeh I, Feng J, Sevil M, Cinar A. Meal Detection and Carbohydrate Estimation Using Continuous Glucose Sensor Data. IEEE J Biomed Health Inform. 2017 Mar 3. doi: 10.1109/JBHI.2017.2677953. [Epub ahead of print] Link

Toffanin C, Visentin R, Messori M, Di Palma F, Magni L, Cobelli C. Towards a Run-to-Run Adaptive Artificial Pancreas: In Silico Results. IEEE Trans Biomed Eng. 2017 Jan 11. doi: 10.1109/TBME.2017.2652062 Link

Vettoretti M, Facchinetti A, Sparacino G, Cobelli C. Predicting Insulin Treatment Scenarios with the Net Effect Method: Domain of Validity. Diabetes Technol Ther. 2016 Nov;18(11):694-704. Link

Daskalaki E, Diem P, Mougiakakou SG. Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes. PLoS One. 2016 Jul 21;11(7):e0158722. doi: 10.1371/journal.pone.0158722. eCollection 2016. Link

Messori M, Toffanin C, Del Favero S, De Nicolao G, Cobelli C, Magni L. Model individualization for artificial pancreas. Comput Methods Programs Biomed. 2016 Jul 5. pii: S0169-2607(15)30443-0. doi: 10.1016/j.cmpb.2016.06.006. [Epub ahead of print] Link

Visentin R, Giegerich C, Jäger R, Dahmen R, Boss A, Grant M, Dalla Man C, Cobelli C, Klabunde T. Improving Efficacy of Inhaled Technosphere Insulin (Afrezza) by Postmeal Dosing: In-silico Clinical Trial with the University of Virginia/Padova Type 1 Diabetes Simulator. Diabetes Technol Ther. 2016 Jun 22. [Epub ahead of print] Link

Visentin R, Man C, Cobelli C. One-Day Bayesian Cloning of Type 1 Diabetes Subjects: Towards a Single-Day UVA/Padova Type 1 Diabetes Simulator. IEEE Trans Biomed Eng. 2016 Feb 26. [Epub ahead of print]. Link

Visentin R, Klabunde T, Grant M, Dalla Man C, Cobelli C. Incorporation of inhaled insulin into the FDA accepted University of Virginia/Padova Type 1 Diabetes Simulator. Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:3250-3. doi: 10.1109/EMBC.2015.7319085. Link

Li P, Yu L, Fang Q, Lee SY. A simplification of Cobelli’s glucose-insulin model for type 1 diabetes mellitus and its FPGA implementation. Med Biol Eng Comput. 2015 Dec 30. [Epub ahead of print] Link

Colmegna P, Sanchez-Pena R, Gondhalekar R, Dassau E, Doyle F. Switched LPV Glucose Control in Type 1 Diabetes. IEEE Trans Biomed Eng. 2015 Oct 5. [Epub ahead of print] Link

Zavitsanou S, Mantalaris A, Georgiadis MC, Pistikopoulos EN. In Silico Closed-Loop Control Validation Studies for Optimal Insulin Delivery in Type 1 Diabetes. IEEE Trans Biomed Eng. 2015 Oct;62(10):2369-78. doi: 10.1109/TBME.2015.2427991. Epub 2015 Apr 29. Link

Herrero P, Pesl P, Reddy M, Oliver N, Georgiou P, Toumazou C. Advanced Insulin Bolus Advisor Based on Run-To-Run Control and Case-Based Reasoning. IEEE J Biomed Health Inform. 2015 May;19(3):1087-96. Link

Zhao C, Yu C. Rapid model identification for online subcutaneous glucose concentration prediction for new subjects with type I diabetes. Comput Methods Programs Biomed. 2015 Apr;119(1):1-8. doi: 10.1016/j.cmpb.2015.02.003. Epub 2015 Feb 16. Link

Herrero P, Pesl P, Bondia J, Reddy M, Oliver N, Georgiou P, Toumazou C. Method for automatic adjustment of an insulin bolus calculator: in silico robustness evaluation under intra-day variability. IEEE Trans Biomed Eng. 2015 May;62(5):1333-44. doi: 10.1109/TBME.2014.2387293. Epub 2015 Jan 1. Link

Hu R, Li C. An Improved PID Algorithm Based on Insulin-on-Board Estimate for Blood Glucose Control with Type 1 Diabetes. Comput Math Methods Med. 2015;2015:281589. doi: 10.1155/2015/281589. Epub 2015 Oct 5. Link

Visentin R, Dalla Man C, Kudva YC, Basu A, Cobelli C. Circadian variability of insulin sensitivity: physiological input for in silico artificial pancreas. Diabetes Technol Ther. 2015 Jan;17(1):1-7. doi: 10.1089/dia.2014.0192. Link

Colmegna P, Sanchez Pena RS, Gondhalekar R, Dassau E, Doyle Iii FJ. Reducing risks in type 1 diabetes using H∞ control. IEEE Trans Biomed Eng. 2014 Dec;61(12):2939-47. doi: 10.1109/TBME.2014.2336772. Epub 2014 Jul 9. Link

Visentin R, Dalla Man C, Kovatchev B, Cobelli C. The university of Virginia/Padova type 1 diabetes simulator matches the glucose traces of a clinical trial. Diabetes Technol Ther. 2014 Jul;16(7):428-34. doi: 10.1089/dia.2013.0377. Epub 2014 Feb 26. Link

Wang Q, Molenaar P, Harsh S, Freeman K, Xie J, Gold C, Rovine M, Ulbrecht J. Personalized State-space Modeling of Glucose Dynamics for Type 1 Diabetes Using Continuously Monitored Glucose, Insulin Dose, and Meal Intake: An Extended Kalman Filter Approach. J Diabetes Sci Technol. 2014 Mar 24;8(2):331-345. [Epub ahead of print] Link

Turksoy K, Quinn L, Littlejohn E, Cinar A. Multivariable adaptive identification and control for artificial pancreas systems. IEEE Trans Biomed Eng. 2014 Mar;61(3):883-91. doi: 10.1109/TBME.2013.2291777. [Epub ahead of print] Link

Man CD, Micheletto F, Lv D, Breton M, Kovatchev B, Cobelli C. The UVA/PADOVA Type 1 Diabetes Simulator: New Features. J Diabetes Sci Technol. 2014 Jan 1;8(1):26-34. [Epub ahead of print] Link

Abbes IB, Richard PY, Lefebvre MA, Guilhem I, Poirier JY. A closed-loop artificial pancreas using a proportional integral derivative with double phase lead controller based on a new nonlinear model of glucose metabolism. J Diabetes Sci Technol. 2013 May 1;7(3):699-707. Link

Facchinetti A, Del Favero S, Sparacino G, Cobelli C. An online failure detection method of the glucose sensor-insulin pump system: improved overnight safety of type-1 diabetic subjects. IEEE Trans Biomed Eng. 2013 Feb;60(2):406-16. doi: 10.1109/TBME.2012.2227256. Epub 2012 Nov 15. Link

Zhao C, Dassau E, Jovanovič L, Zisser HC, Doyle FJ 3rd, Seborg DE. Predicting subcutaneous glucose concentration using a latent-variable-based statistical method for type 1 diabetes mellitus. J Diabetes Sci Technol 2012; May 1; 6(3):617-33. Link

Zarkogianni K, Vazeou A, Mougiakakou SG, Prountzou A, Nikita KS. An insulin infusion advisory system based on autotuning nonlinear model-predictive control. IEEE Trans Biomed Eng. 2011 Sep;58(9):2467-77. doi: 10.1109/TBME.2011.2157823. Epub 2011 May 27. Link

Cameron F, Bequette BW, Wilson DM, Buckingham BA, Lee H, Niemeyer G. A closed-loop artificial pancreas based on risk management. J Diabetes Sci Technol 2011; Mar 1; 5(2):368-79. Link

Kovatchev B, Cobelli C, Renard E, Anderson S, Breton M, Patek S, Clarke W, Bruttomesso D, Maran A, Costa S, Avogaro A, Dalla Man C, Facchinetti A, Magni L, De Nicolao G, Place J, Farret A. Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results. J Diabetes Sci Technol 2010; Nov 1; 4(6):1374-81. Link

Grosman B, Dassau E, Zisser HC, Jovanovic L, Doyle FJ 3rd. Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events. J Diabetes Sci Technol 2010; Jul 1; 4(4):961-75. Link

Wang Y, Dassau E, Zisser H, Jovanovič L, Doyle FJ 3rd. Automatic bolus and adaptive basal algorithm for the artificial pancreatic β-cell. Diabetes Technol Ther 2010; Nov; 12(11):879-87. Epub 2010 Sep 30. Link

Mauseth R, Wang Y, Dassau E, Kircher R Jr, Matheson D, Zisser H, Jovanovic L, Doyle FJ 3rd. Proposed clinical application for tuning fuzzy logic controller of artificial pancreas utilizing a personalization factor. J Diabetes Sci Technol 2010; Jul 1; 4(4):913-22. Link

Kovatchev BP, Breton MD, Dalla Man C, Cobelli C. In Silico Preclinical Trials: A Proof of Concept in Closed-Loop Control of Type 1 Diabetes. J Diabetes Sci Technol 2009; 3(1): 44-45. Link

Patek SD, Bequette W, Breton M, Buckingham BA, Dassau E, Doyle FJ 3rd, Lum J, Magni L, and Zisser H. In Silico Preclinical Trials: Methodology and Engineering Guide to Closed-Loop Control in Type I Diabetes Mellitus. J Diabetes Sci Technol 2009; 3(2): 269-282. Link

Clarke W, Kovatchev B. Statistical tools to analyze continuous glucose monitor data. Diabetes Technol Ther 2009; Jun; 11 Suppl 1:S45-54. Link

Man CD, Breton MD, Cobelli C Physical activity into the meal glucose-insulin model of type 1 diabetes: in silico studies. J Diabetes Sci Technol. 2009 Jan;3(1):56-67. Link

Magni L, Raimondo DM, Man CD, Breton M, Patek S, Nicolao GD, Cobelli C, Kovatchev BP. Evaluating the efficacy of closed-loop glucose regulation via control-variability grid analysis. J Diabetes Sci Technol 2008; Jul; 2(4):630-5. Link

Breton M, Kovatchev B. Analysis, Modeling, and Simulation of the Accuracy of Continuous Glucose Sensors. J Diabetes Sci Technol 2008; 2(5): 853-862. Link

Dalla Man C, Rizza RA, Cobelli C. Meal Simulation Model of the Glucose-Insulin System. IEEE Trans Biomed Eng 2007; 54(10): 1740-1749. Link

Dalla Man C, Camilleri M, Cobelli C. A System Model of Oral Glucose Absorption: Validation on Gold Standard Data. IEEE Trans Biomed Eng 2006; 53(12): 2472-2478. Link

Sandridge LC, Baglioni AJ Jr, Kongable GL, Harthun NL. Evaluation of the effect of endovascular options on infrarenal abdominal aortic aneurysm repair. Am Surg 2006; 72(8):700-4; disc 704-6. Link

Zito D, Kongable G, Anderson M. The Impact of Intensive Insulin Protocols on the Clinical Laboratory. J Ligand Assay 2005; 28(4):202-206. Link

Kovatchev BP, Gonder-Frederick LA, Cox DJ, and Clarke WL. Evaluating the Accuracy of Continuous Glucose-Monitoring Sensors: Continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data. DiabetesCare 2004;27:1922-1928. Link


SAAM II software enables the development of compartmental models for biological and pharmaceutical research in the U.S. and overseas. See below for a list of publications describing studies that relied on SAAM II technologies:

Zaid NRR, Kletting P, Winter G, Beer AJ, Glatting G. A Whole-Body Physiologically Based Pharmacokinetic Model for Alpha Particle Emitting Bismuth in Rats  Cancer Biother Radiopharm. 2021 Jun 29. doi: 10.1089/cbr.2021.0028. Online ahead of print. Link

Buratachwatanasiri W, Chantadisai M, Onwanna J, Chongpison Y, Rakvongthai Y, Khamwan KPharmacokinetic Modeling of 18 F-FDOPA PET in the Human Brain for Early Parkinson’s Disease. Mol Imaging Radionucl Ther. 2021 Jun 3;30(2):69-78. doi:10.4274/mirt.galenos.2021.08831.PMID: 34082499. Link

Höllriegl V, Petoussi-Henss N, Hürkamp K, Ocampo Ramos JC, Li WB.  Radiopharmacokinetic modelling and radiation dose assessment of 223 Ra used for treatment of metastatic castration-resistant prostate cancer  EJNMMI Phys. 2021 Jun 2;8(1):44. doi: 10.1186/s40658-021-00388-1. Link

Croyal M, Tran TT, Blanchard RH, Le Bail JC, Villard EF, Poirier B, Aguesse A, Billon-Crossouard S, Ramin-Mangata S, Blanchard V, Nativel B, Chemello K, Khantalin I, Thedrez A, Janiak P, Krempf M, Boixel C, Lambert G, Guillot E. PCSK9 inhibition with alirocumab reduces lipoprotein(a) levels in nonhuman primates by lowering apolipoprotein(a) production rate. Clin Sci (Lond). 2018 May 31;132(10):1075-1083. doi: 10.1042/CS20180040. Print 2018 May 31. Link

Chen ME, Chandramouli AG, Considine RV, Hannon TS, Mather KJ Comparison of β-Cell Function Between Overweight/Obese Adults and Adolescents Across the Spectrum of Glycemia. Diabetes Care. 2018 Feb;41(2):318-325. doi: 10.2337/dc17-1373. Epub 2017 Nov 28. Link

Mason A, Engelen MP, Ivanov I, Toffolo GM, Deutz NE.A Four Compartments Compartmental Model to Assess Net Whole Body Protein Breakdown Using a Pulse of Phenylalanine and Tyrosine Stable Isotopes in Humans. Am J Physiol Endocrinol Metab. 2017 Mar 7:ajpendo.00362.2016. doi: 10.1152/ajpendo.00362.2016. Link

Zvereva A, Petoussi-Henss N, Li WB, Schlattl H, Oeh U, Zankl M, Graner FP, Hoeschen C, Nekolla SG, Parodi K, Schwaiger M.Effect of blood activity on dosimetric calculations for radiopharmaceuticals. Phys Med Biol. 2016 Nov 7;61(21):7688-7703. Link

Ferasyi TR, Barrett PH, Blache D, Martin GB.Modeling the male reproductive endocrine axis – potential role for a delay mechanism in the inhibitory action of gonadal steroids on GnRH pulse frequency. Endocrinology. 2016 Feb 24:en20151913. [Epub ahead of print] Link

Zanzonico P, Carrasquillo JA, Pandit-Taskar N, O’Donoghue JA, Humm JL, Smith-Jones P, Ruan S, Divgi C, Scott AM, Kemeny NE, Fong Y, Wong D, Scheinberg D, Ritter G, Jungbluth A, Old LJ, Larson SM.PET-based compartmental modeling of (124)I-A33 antibody: quantitative characterization of patient-specific tumor targeting in colorectal cancer. Eur J Nucl Med Mol Imaging. 2015 Oct;42(11):1700-6. doi: 10.1007/s00259-015-3061-2. Epub 2015 Jul 21. Link

Kletting P, Schimmel S, Hänscheid H, Luster M, Fernández M, Nosske D, Lassmann M, Glatting G.The NUKDOS software for treatment planning in molecular radiotherapy. Z Med Phys. 2015 Sep;25(3):264-74. doi: 10.1016/j.zemedi.2015.01.001. Epub 2015 Mar 17. Link

Desai NK, Ooi EM, Mitchell PD, Furtado J, Sacks FM.Metabolism of apolipoprotein A-II containing triglyceride rich ApoB lipoproteins in humans. Atherosclerosis. 2015 Aug;241(2):326-33. doi: 10.1016/j.atherosclerosis.2015.05.013. Epub 2015 May 19. Link

Desbrée A, Bonnard T, Blanchardon E, Petiet A, Franck D, Chauvierre C, Le Visage C. Evaluation of Functionalized Polysaccharide Microparticles Dosimetry for SPECT Imaging Based on Biodistribution Data of Rats. Mol Imaging Biol. 2015 Aug;17(4):504-11. doi: 10.1007/s11307-014-0812-6. Link

Wang X, Wang WX. Physiologically Based Pharmacokinetic Model for Inorganic and Methylmercury in a Marine Fish. Environ Sci Technol. 2015 Aug 18;49(16):10173-81. doi: 10.1021/acs.est.5b02301. Epub 2015 Aug 6. Link

Giussani A. A recycling model of the biokinetics of systemic tellurium. Int J Radiat Biol. 2014 Nov;90(11):1114-8. doi: 10.3109/09553002.2014.943850. Link

Kastl M, Giussani A, Blanchardon E, Breustedt B, Fritsch P, Hoeschen C, Lopez MA. Developing a physiologically based approach for modeling plutonium decorporation therapy with DTPA. Int J Radiat Biol. 2014 Nov;90(11):1062-7. doi: 10.3109/09553002.2014.925604. Epub 2014 Aug 11. Link

Chen EP, Tai G, Ellens H. The importance of villous physiology and morphology in mechanistic physiologically-based pharmacokinetic models. Pharm Res. 2014 Feb;31(2):305-21. doi: 10.1007/s11095-013-1161-x. Epub 2013 Aug 30. Link

Holleboom AG, Jakulj L, Franssen R, Decaris J, Vergeer M, Koetsveld J, Luchoomun J, Glass A, Hellerstein MK, Kastelein JJ, Hovingh GK, Kuivenhoven JA, Groen AK, Turner SM, Stroes ES. In vivo tissue cholesterol efflux is reduced in carriers of a mutation in APOA1. J Lipid Res. 2013 Jul;54(7):1964-71. doi: 10.1194/jlr.P028449. Epub 2013 May 6. Link

Di Nardo F, Mengoni M, Morettini M. MATLAB-implemented estimation procedure for model-based assessment of hepatic insulin degradation from standard intravenous glucose tolerance test data. Comput Methods Programs Biomed. 2013 May;110(2):215-25. doi: 10.1016/j.cmpb.2012.10.007. Epub 2012 Oct 31. Link

Turner S, Voogt J, Davidson M, Glass A, Killion S, Decaris J, Mohammed H, Minehira K, Boban D, Murphy E, Luchoomun J, Awada M, Neese R, Hellerstein M. Measurement of reverse cholesterol transport pathways in humans: in vivo rates of free cholesterol efflux, esterification, and excretion. J Am Heart Assoc. 2012 Aug;1(4):e001826. doi: 10.1161/JAHA.112.001826. Epub 2012 Aug 24. Link

Tavola F, Janzen T, Giussani A, Facchinetti D, Veronese I, Uusijärvi-Lizana H, Mattsson S, Hoeschen C, Cantone MC. Nonlinear compartmental model of 18F-choline. Nucl Med Biol. 2012 Feb; 39(2):261-8. Link

Cohen MN, Christians U, Henthorn T, Vu Tran Z, Moll V, Zuk J, Galinkin J. Pharmacokinetics of single-dose intravenous ketorolac in infants aged 2-11 months. Anesth Analg. 2011 Mar;112(3):655-60. Link

Dalla Man C, Micheletto F, Sathananthan A, Rizza RA, Vella A, Cobelli C. A model of GLP-1 action on insulin secretion in nondiabetic subjects. Am J Physiol Endocrinol Metab. 2010 Jun;298(6):E1115-21. Link

Campioni M, Toffolo G, Basu R, Rizza RA, Cobelli C. Minimal model assessment of hepatic insulin extraction during an oral test from standard insulin kinetic parameters. Am J Physiol Endocrinol Metab. 2009 Oct;297(4):E941-8. Link

Franssen R, Sankatsing RR, Hassink E, Hutten B, Ackermans MT, Brinkman K, Oesterholt R, Arenas-Pinto A, Storfer SP, Kastelein JJ, Sauerwein HP, Reiss P, Stroes ES. Nevirapine increases high-density lipoprotein cholesterol concentration by stimulation of apolipoprotein A-I production. Arterioscler Thromb Vasc Biol. 2009 Sep;29(9):1336-41. Link

Finkelstein Y, Nava-Ocampo AA, Schechter T, Grant R, St Pierre E, Goldman R, Walker S, Koren G. Discrepancies in pharmacokinetic analysis results obtained by using two standard population pharmacokinetics software programs. Fundam Clin Pharmacol. 2009 Feb;23(1):53-7. Link

Yao J, Zhou JP, Ping QN. Characteristics of nobiletin-loaded nanoemulsion and its in vivo distribution in mice. Yao Xue Xue Bao. 2007 Jun;42(6):663-8. Chinese. Link

Ribeiro CV, Eastridge ML, Firkins JL, St-Pierre NR, Palmquist DL. Kinetics of fatty acid biohydrogenation in vitro. J Dairy Sci. 2007 Mar;90(3):1405-16. Link

Ooi EM, Watts GF, Ji J, Rye KA, Johnson AG, Chan DC, Barrett PH. Plasma phospholipid transfer protein activity, a determinant of HDL kinetics in vivo. Clin Endocrinol (Oxf). 2006 Dec;65(6):752-9. Link

Chan DC, Watts GF, Nguyen MN, Barrett PH. Factorial study of the effect of n-3 fatty acid supplementation and atorvastatin on the kinetics of HDL apolipoproteins A-I and A-II in men with abdominal obesity. Am J Clin Nutr. 2006 Jul;84(1):37-43. Link

Barrett PH, Chan DC, Watts GF. Thematic review series: patient-oriented research. Design and analysis of lipoprotein tracer kinetics studies in humans. J Lipid Res. 2006 Aug;47(8):1607-19. Review. Link

Chétiveaux M, Lalanne F, Lambert G, Zair Y, Ouguerram K, Krempf M. Kinetics of prebeta1 HDL and alphaHDL in type II diabetic patients. Eur J Clin Invest. 2006 Jan;36(1):29-34. Link

Hovorka R, Nanjee MN, Cooke CJ, Miller IP, Olszewski WL, Miller NE. Mass kinetics of apolipoprotein A-I in interstitial fluid after administration of intravenous apolipoprotein A-I/lecithin discs in humans. J Lipid Res. 2006 May;47(5):975-81. Link

Tremblay AJ, Lamarche B, Cohn JS, Hogue JC, Couture P. Effect of ezetimibe on the in vivo kinetics of apoB-48 and apoB-100 in men with primary hypercholesterolemia.  Arterioscler Thromb Vasc Biol. 2006 May;26(5):1101-6. Epub 2006 Mar 9. Link

Nierman MC, Prinsen BH, Rip J, Veldman RJ, Kuivenhoven JA, Kastelein JJ, de Sain-van der Velden MG, Stroes ES. Enhanced conversion of triglyceride-rich lipoproteins and increased low-density lipoprotein removal in LPLS447X carriers. Arterioscler Thromb Vasc Biol. 2005 Nov;25(11):2410-5. Epub 2005 Sep 29. Link

Ikewaki K, Schaefer JR, Frischmann ME, Okubo K, Hosoya T, Mochizuki S, Dieplinger B, Delayed in vivo catabolism of intermediate-density lipoprotein and low-density lipoprotein in hemodialysis patients as potential cause of premature atherosclerosis. Arterioscler Thromb Vasc Biol. 2005 Dec;25(12):2615-22. Epub 2005 Sep 29. Link

Burnett JR, Telford DE, Barrett PH, Huff MW. The ACAT inhibitor avasimibe increases the fractional clearance rate of postprandial triglyceride-rich lipoproteins in miniature pigs. Biochim Biophys Acta. 2005 Dec 30;1738(1-3):10-8. Link

Lundahl B, Skoglund-Andersson C, Caslake M, Bedford D, Stewart P, Hamsten A, Packard CJ, Karpe F. Microsomal triglyceride transfer protein -493T variant reduces IDL plus LDL apoB production and the plasma concentration of large LDL particles. Am J Physiol Endocrinol Metab. 2006 Apr;290(4):E739-45. Link

Matthan NR, Jalbert SM, Lamon-Fava S, Dolnikowski GG, Welty FK, Barrett HR, Schaefer EJ, Lichtenstein AH. TRL, IDL, and LDL apolipoprotein B-100 and HDL apolipoprotein A-I kinetics as a function of age and menopausal status. Arterioscler Thromb Vasc Biol. 2005 Aug;25(8):1691-6. Link

Bailhache E, Briand F, Nguyen P, Krempf M, Magot T, Ouguerram K. Metabolism of cholesterol ester of apolipoprotein B100-containing lipoproteins in dogs: evidence for disregarding cholesterol ester transfer. Eur J Clin Invest. 2004 Aug;34(8):527-34. Link

Welty FK, Lichtenstein AH, Barrett PH, Dolnikowski GG, Schaefer EJ. Interrelationships between human apolipoprotein A-I and apolipoproteins B-48 and B-100 kinetics using stable isotopes. Arterioscler Thromb Vasc Biol. 2004 Sep;24(9):1703-7. Link

Avram MJ, Krejcie TC, Henthorn TK, Niemann CU. Beta-adrenergic blockade affects initial drug distribution due to decreased cardiac output and altered blood flow distribution. J Pharmacol Exp Ther. 2004 Nov;311(2):617-24. Link

Berneis K, Shames DM, Blanche PJ, La Belle M, Rizzo M, Krauss RM. Plasma clearance of human low-density lipoprotein in human apolipoprotein B transgenic mice is related to particle diameter. Metabolism. 2004 Apr;53(4):483-7. Link

Traitel T, Kost J, Lapidot SA. Modeling ionic hydrogels swelling: characterization of the non-steady state. Biotechnol Bioeng. 2003 Oct 5;84(1):20-8. Link

Telford DE, Edwards JY, Lipson SM, Sutherland B, Barrett PH, Burnett JR, Krul ES, Keller BT, Huff MW. Inhibition of both the apical sodium-dependent bile acid transporter and HMG-CoA reductase markedly enhances the clearance of LDL apoB. J Lipid Res. 2003 May;44(5):943-52. Link

Bach-Ngohou K, Ouguerram K, Nazih H, Maugère P, Ripolles-Piquer B, Zaïr Y, Frénais R, Krempf M, Bard JM. Apolipoprotein E kinetics: influence of insulin resistance and type 2 diabetes. Int J Obes Relat Metab Disord. 2002 Nov;26(11):1451-8. Link

Callegari T, Caumo A, Cobelli C. Generalization of map estimation in SAAM II: validation against ADAPT II in a glucose model case study. Ann Biomed Eng. 2002 Jul-Aug;30(7):961-8. Link

Watts GF, Chan DC, Barrett PH. Adipose tissue compartments and the kinetics of very-low-density lipoprotein apolipoprotein B-100 in non-obese men. Metabolism. 2002 Sep;51(9):1206-10. Link

Chan DC, Watts GF, Redgrave TG, Mori TA, Barrett PH. Apolipoprotein B-100 kinetics in visceral obesity: associations with plasma apolipoprotein C-III concentration. Metabolism. 2002 Aug;51(8):1041-6. Link

Chan DC, Watts GF, Barrett PH, Mori TA, Beilin LJ, Redgrave TG. Mechanism of action of a 3-hydroxy-3-methylglutaryl coenzyme a reductase inhibitor on apolipoprotein B-100 kinetics in visceral obesity. J Clin Endocrinol Metab. 2002 May;87(5):2283-9. Link

Pillonetto G, Sparacino G, Magni P, Bellazzi R, Cobelli C. Minimal model S(I)=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals. Am J Physiol Endocrinol Metab. 2002 Mar;282(3):E564-73. Link

Dsida RM, Wheeler M, Birmingham PK, Wang Z, Heffner CL, Coté CJ, Avram MJ. Age-stratified pharmacokinetics of ketorolac tromethamine in pediatric surgical patients. Anesth Analg. 2002 Feb;94(2):266-70, table of contents. Link

Watts GF, Chan DC, Barrett PH, Martins IJ, Redgrave TG. Preliminary experience with a new stable isotope breath test for chylomicron remnant metabolism: a study in central obesity. Clin Sci (Lond). 2001 Dec;101(6):683-90. Link

Sun Z, Welty FK, Dolnikowski GG, Lichtenstein AH, Schaefer EJ. Effects of a National Cholesterol Education Program Step II Diet on apolipoprotein A-IV metabolism within triacylglycerol-rich lipoproteins and plasma. Am J Clin Nutr. 2001 Sep;74(3):308-14. Link

Matsuura Y, Nishi S, Kariya N, Shimadzu K, Asada A. The effects of norepinephrine and prostaglandin E1 on pharmacokinetics of lidocaine in isolated perfused rat liver. Life Sci. 2001 Mar 23;68(18):2123-9. Link

Recalde D, Velez-Carrasco W, Civeira F, Cenarro A, Gomez-Coronado D, Ordovas JM, Pocovi M. Enhanced fractional catabolic rate of apo A-I and apo A-II in heterozygous subjects for apo A-I(Zaragoza) (L144R). Atherosclerosis. 2001 Feb 15;154(3):613-23. Link

Millar JS, Lichtenstein AH, Ordovas JM, Dolnikowski GG, Schaefer EJ. Human triglyceride-rich lipoprotein apo E kinetics and its relationship to LDL apo B-100 metabolism. Atherosclerosis. 2001 Apr;155(2):477-85. Link

Oldick BS, Firkins JL, Kohn RA. Compartmental modeling with nitrogen-15 to determine effects of degree of fat saturation on intraruminal N recycling. J Anim Sci. 2000 Sep;78(9):2421-30. Link

Welty FK, Lichtenstein AH, Barrett PH, Jenner JL, Dolnikowski GG, Schaefer EJ. Effects of ApoE genotype on ApoB-48 and ApoB-100 kinetics with stable isotopes in humans. Arterioscler Thromb Vasc Biol. 2000 Jul;20(7):1807-10. Link

Fouillet H, Gaudichon C, Mariotti F, Mahé S, Lescoat P, Huneau JF, Tomé D. Compartmental modeling of postprandial dietary nitrogen distribution in humans. Am J Physiol Endocrinol Metab. 2000 Jul;279(1):E161-75. Link

Ummenhofer WC, Arends RH, Shen DD, Bernards CM. Comparative spinal distribution and clearance kinetics of intrathecally administered morphine, fentanyl, alfentanil, and sufentanil. Anesthesiology. 2000 Mar;92(3):739-53. Link

Velez-Carrasco W, Lichtenstein AH, Li Z, Dolnikowski GG, Lamon-Fava S, Welty FK, Schaefer EJ. Apolipoprotein A-I and A-II kinetic parameters as assessed by endogenous labeling with [(2)H(3)]leucine in middle-aged and elderly men and women. Arterioscler Thromb Vasc Biol. 2000 Mar;20(3):801-6. Link

Satas S, Hoem NO, Melby K, Porter H, Lindgren CG, Whitelaw A, Thoresen M. Influence of mild hypothermia after hypoxia-ischemia on the pharmacokinetics of gentamicin in newborn pigs. Biol Neonate. 2000;77(1):50-7. Link

Zanzonico PB. Age-dependent thyroid absorbed doses for radiobiologically significant radioisotopes of iodine. Health Phys. 2000 Jan;78(1):60-7. Link

Welty FK, Lichtenstein AH, Barrett PH, Dolnikowski GG, Schaefer EJ. Human apolipoprotein (Apo) B-48 and ApoB-100 kinetics with stable isotopes. Arterioscler Thromb Vasc Biol. 1999 Dec;19(12):2966-74. Link

Burnett JR, Wilcox LJ, Telford DE, Kleinstiver SJ, Barrett PH, Newton RS, Huff MW. The magnitude of decrease in hepatic very low density lipoprotein apolipoprotein B secretion is determined by the extent of 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibition in miniature pigs. Endocrinology. 1999 Nov;140(11):5293-302. Link

Riches FM, Watts GF, Hua J, Stewart GR, Naoumova RP, Barrett PH. Reduction in visceral adipose tissue is associated with improvement in apolipoprotein B-100 metabolism in obese men. J Clin Endocrinol Metab. 1999 Aug;84(8):2854-61. Link

Burnett JR, Wilcox LJ, Telford DE, Kleinstiver SJ, Barrett PH, Newton RS, Huff MW. Inhibition of ACAT by avasimibe decreases both VLDL and LDL apolipoprotein B production in miniature pigs. J Lipid Res. 1999 Jul;40(7):1317-27. Link

Wilcox LJ, Barrett PH, Huff MW. Differential regulation of apolipoprotein B secretion from HepG2 cells by two HMG-CoA reductase inhibitors, atorvastatin and simvastatin. J Lipid Res. 1999 Jun;40(6):1078-89. Link

Wilcox LJ, Barrett PH, Newton RS, Huff MW. ApoB100 secretion from HepG2 cells is decreased by the ACAT inhibitor CI-1011: an effect associated with enhanced intracellular degradation of ApoB. Arterioscler Thromb Vasc Biol. 1999 Apr;19(4):939-49. Link

Burnett JR, Barrett PH, Vicini P, Miller DB, Telford DE, Kleinstiver SJ, Huff MW. The HMG-CoA reductase inhibitor atorvastatin increases the fractional clearance rate of postprandial triglyceride-rich lipoproteins in miniature pigs. Arterioscler Thromb Vasc Biol. 1998 Dec;18(12):1906-14. Link

Heatherington AC, Fisher HL, Sumler MR, Waller CL, Shah PV, Hall LL. Percutaneous absorption and disposition of [14C]chlordecone in young and adult female rats. Environ Res. 1998 Nov;79(2):138-55. Link

Cobelli C, Foster DM. Compartmental models: theory and practice using the SAAM II software system. Adv Exp Med Biol. 1998;445:79-101. Link

Foster DM. Developing and testing integrated multicompartment models to describe a single-input multiple-output study using the SAAM II software system. Adv Exp Med Biol. 1998;445:59-78. Link

Heatherington AC, Vicini P, Golde H. A pharmacokinetic/pharmacodynamic comparison of SAAM II and PC/WinNonlin modeling software. J Pharm Sci. 1998 Oct;87(10):1255-63. Link

Burnett JR, Wilcox LJ, Telford DE, Kleinstiver SJ, Barrett PH, Huff MW. Inhibition of cholesterol esterification by DuP 128 decreases hepatic apolipoprotein B secretion in vivo: effect of dietary fat and cholesterol. Biochim Biophys Acta. 1998 Jul 31;1393(1):63-79. Link

Shimadzu K, Nishi S, Kariya N, Yamamoto I, Asada A. The pharmacokinetic change of lidocaine by catecholamines using isolated perfused rat liver (IPRL). Life Sci. 1998;62(26):2399-405. Link

Riches FM, Watts GF, Naoumova RP, Kelly JM, Croft KD, Thompson GR. Hepatic secretion of very-low-density lipoprotein apolipoprotein B-100 studied with a stable isotope technique in men with visceral obesity. Int J Obes Relat Metab Disord. 1998 May;22(5):414-23. Link

Barrett PH, Bell BM, Cobelli C, Golde H, Schumitzky A, Vicini P, Foster DM. SAAM II: Simulation, Analysis, and Modeling Software for tracer and pharmacokinetic studies. Metabolism. 1998 Apr;47(4):484-92. Link

Setyawati IA, Thompson KH, Yuen VG, Sun Y, Battell M, Lyster DM, Vo C, Ruth TJ, Zeisler S, McNeill JH, Orvig C. Kinetic analysis and comparison of uptake, distribution, and excretion of 48V-labeled compounds in rats. J Appl Physiol. 1998 Feb;84(2):569-75. Link

Burnett JR, Wilcox LJ, Telford DE, Kleinstiver SJ, Barrett PH, Newton RS, Huff MW. Inhibition of HMG-CoA reductase by atorvastatin decreases both VLDL and LDL apolipoprotein B production in miniature pigs. Arterioscler Thromb Vasc Biol. 1997 Nov;17(11):2589-600. Link

Lowe NM, Shames DM, Woodhouse LR, Matel JS, Roehl R, Saccomani MP, Toffolo G, Cobelli C, King JC. A compartmental model of zinc metabolism in healthy women using oral and intravenous stable isotope tracers. Am J Clin Nutr. 1997 Jun;65(6):1810-9. Link

McPherson R, Lau P, Kussie P, Barrett H, Tall AR. Plasma kinetics of cholesteryl ester transfer protein in the rabbit. Effects of dietary cholesterol. Arterioscler Thromb Vasc Biol. 1997 Jan;17(1):203-10. Link

Shames DM, Berman M, Segal S. Effects of thyroid disease on glucose oxidative metabolism in man. A compartmental model analysis. J Clin Invest. 1971 Mar;50(3):627-41. Link

Shames DM, Frank A, Steinberg D, Berman M. Transport of plasma free fatty acids and triglycerides in man: a theoretical analysis. J Clin Invest. 1970 Dec;49(12):2298-314. Link

Diabetes Mgmt

The following publications by TEG and collaborators are shaping the future of diabetes treatment and management strategies:


Bersoux S, Cook CB, Kongable GL, Shu J, Zito DR. Benchmarking glycemic control in u.s. Hospitals. Endocr Pract. 2014 Sep;20(9):876-83. doi: 10.4158/EP13516.OR. Link

Bersoux S, Cook CB, Kongable GL, Shu J. Trends in glycemic control over a 2-year period in 126 US hospitals. J Hosp Med. 2013 Mar;8(3):121-5. doi: 10.1002/jhm.1997. Epub 2012 Dec 19. Link

Cook C, Potter D, Kongable G. Characterizing glucose changes antecedent to hypoglycemic events in the intensive care unit. EndocrPract 2012; 18:317-324. Link

Cook CB, Wellik KE, Kongable GL, Shu J. Assessing inpatient glycemic control: what are the next steps? J Diabetes Sci Technol 2012; Mar 1; 6(2):421-7. Link

Swanson C, Potter D, Kongable G. Update on inpatient glycemic control in hospitals in the United States. EndocrPract 2011; 17(6):853-861. Link

Cook C, Elias B, Kongable G et al. Diabetes and Hyperglycemia Quality Improvement Efforts in Hospitals in the United States: Current Status, Practice Variation and Barriers to Implementation. EndocrPract 2010; 16(2):219-230. Link

Cook C, Kongable G, Potter D et al. Inpatient glucose control: a glycemic survey of 126 U.S. Hospitals. J Hosp Med 2009; 4(9):E7-E14. Link

Biesma B, van de Wef PR, Melissant CF, Brok RG. Anaemia management with epoetin alfa in lung cancer patients in The Netherlands. Lung Cancer 2007; 58(1):104-11. Link

Roberts D, Meakem T, Dalton C, Haverstick D, Lynch C. Prevalence of Hyperglycemia in a Pre-Surgical Population. The Internet Journal of Anesthesiology 2007; 12(1). Link

Cook C, Moghissi E, Joshi R, Kongable G, Abad V. Inpatient Point-of-Care Bedside Glucose Testing: Preliminary Data on Use of Connectivity Informatics to Measure Hospital Glycemic Control. Diabetes Technol Ther 2007; 9(6):493-500. Link

Juneja R, Roudebush C, Kumar N, Macy A, Golas A, Wall D, Wolverton C, Nelson D, Carroll J, Flanders SJ. Utilization of a computerized intravenous insulin infusion program to control blood glucose in the intensive care unit. Diabetes Technol Ther 2007; 9(3):232-40. Link

Moghissi E, Kongable G, Abad V, Leija D. Current State of Inpatient Diabetes Burden and Care, and Goal of Conference. EndocrPract 2006; 12(Supplement 3):1-10. Link

Lameire N, Stevens, Raptis S, Thomas S, Schernthaner G. Individualized risk management in diabetics: how to implement best practice guidelines–design and concept of the IRIDIEM studies. Kidney Blood Press Res 2004; 27(3): 127-133. Link

Ludwig H, et al. The European Cancer Anaemia Survey (ECAS): A large, multinational, prospective survey defining the prevalence, incidence, and treatment of anaemia in cancer patients. European Journal of Cancer 2004; 40(15): 2293-2306. Link

Vincent JL, et al. Anemia and blood transfusion in critically ill patients. JAMA 2002; Sep 25; 288(12):1499-1507. Link

Textbook Refs

The following are textbook references to studies by TEG and our collaborators:

Klipp E, Liebermeister W., Wierling C., Kowald A., Systems Biology, A Textbook, 2nd Edition, 2016; Wiley-Blackwell, Hoboken, NJ

DiStefano JJ 3rd. Dynamic Systems Biology Modeling and Simulation. First Edition, 2014, Rev Edition 2015.

Bonate PL. Pharmacokinetic-Pharmacodynamic Modeling and Simulation. 2010; Springer Science + Business Media, Inc., New York, NY.

Cobelli C, Carson E. Introduction to Modeling in Physiology and Medicine. 2008; Elsevier, Burlington, MA.

Cobelli C, Foster D, Toffolo G. Tracer Kinetics in Biomedical Research From Data to Model. 2000; Kluwer Academic/Plenum Publishers, New York, NY.

Jacquez JA. Modeling with Compartments. 1999; BioMedware, Ann Arbor, MI.

Jacquez JA. Compartmental Analysis in Biology and Medicine. 3rd Ed. 1996; BioMedware, Ann Arbor, MI.