Team

We are an international team, focused on technologies for diabetes. A flagship demonstrator of our capabilibites is on-line simulator of a cohort of digital twins. Using a metabolic language, these twins were identified one-to-one to real people with diabetes mellitus. With another, important product of ours, SmartCGMS, we brought them virtually-alive as digital twins to the wide, public audience.

With a digital twin, you can safely experiment with different foods, drugs, activities, conduct pre-clinical trials, search for new methods of treatment, educate, etc. with no harming coming to real people. If you would like to know more, to benefit from our technology in your projects, we'd like to hear from you!

Below, you can find heads of the project per institution.

Tomas Koutny

Tomas is a founder and general director of this project. Also, he is author of the Sirael metabolic language, its virtual metabolic machine and diffusion model of glucose dynamics. From time to time, he delivers invited lectures at conferences and universities. There, you can meet him and discuss things personally.

Department of Computer Science and Engineering, Faculty of Applied Sciences
Technicka 8, 314 06 Plzen, Czech Republic
✉ txkoutny at fav.zcu.cz

Antonio della Cioppa

Antonio is a scientific coordinator of the project. He is active in the fields of Bio-inspired Artificial Intelligence, Inductive Inference and Machine Learning, including Evolutionary Computation, Neural Networks, Genetic Programming, Swarm Intelligence and Complex Systems. Currently, he is a full professor at University of Salerno.

✉ dellacioppa at unisa.it

Michal Krcma

Michal is focused on prevention, diagnostics and therapy of Diabetes mellitus, metabolic and endocrinal diseases. He is head of the 1st Department of Internal Medicine at the Faculty Hospital in Pilsen, Charles University in Prague.

✉ krcmam at fnplzen.cz

Ivanoe De Falco

Ivanoe is a Research Director at the ICAR institute of the National Research Council of Italy (CNR). His main fields of interest include Computational Intelligence, Evolutionary Computation, Artificial Neural Networks, Interpretable Machine Learning, Explainable Artificial Intelligence, Parallel and Distributed Computing, and their applications to real-world problems, primarily in the medical domain.

✉ ivanoe.defalco at icar.cnr.it

Publications

Tomas Koutny, "Metabolic-Language Encoded Digital Twin with Realistic Food Composition and Physical Activity", Diabetes Technology & Therapeutics, Volume 8, 2026
Tomas Koutny, Martin Kukral, Jana Romova, Jan Vasatko, "Meta-Analysis of Technologies for Diabetes Treatment: Glycemic Control, Prediction, Meal and Physical Activity Detection", Progress in Biomedical Engineering, 2026
Tomas Koutny, Martin Ubl, "Online Simulation of a Diabetic-Patient Metabolism and a Realistic Meal Composition", 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS). Madrid, Spain: IEEE Xplore Conference Publishing, pp. 329-334, 2025
Ivanoe De Falco, Anonio della Cioppa, Tomas Koutny, Umberto Scafuri, Ernesto Tarantino, "Model-Free-Communication Federated Learning: Framework and application to Precision Medicine", Biomedical Signal Processing and Control 2024, Volume 87(B), article 105416, 2024
Ivanoe De Falco, Anonio della Cioppa, Tomas Koutny, Martin Ubl, Michal Krcma, Umberto Scafuri, Ernesto Tarantino, "A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction", Sensors 2023, Volume 23 (6), article 2957, 2023
Anonio della Cioppa, Ivanoe De Falco, Tomas Koutny, Umberto Scafuri, Martin Ubl, Ernesto Tarantino, "Reducing high-risk glucose forecasting errors by evolving interpretable models for Type 1 diabetes", Applied Soft Computing, Volume 134, article 110012, 2023
Martin Ubl, Tomas Koutny, Anonio della Cioppa, Ivanoe De Falco, Ernesto Tarantino, Umberto Scafuri, "Distributed Assessment of Virtual Insulin-Pump Settings Using SmartCGMS and DMMS.R for Diabetes Treatment", Sensors 2022, Volume 22 (23), article 9445, 2022
Martin Ubl, Tomas Koutny, "A Novel Approach to Multi-Compartmental Model Implementation to Achieve Metabolic Model Identifiability on Patient’s CGM Data", Procedia Computer Science, Volume 210, pp. 116-123, 2022
Maxmilian Otta, "Towards a Health Software Supporting Platform for Wearable Devices", Procedia Computer Science, Volume 210, pp. 112-115, 2022
Ivanoe De Falco, Anonio della Cioppa, Tomas Koutny, Umberto Scafuri, Ernesto Tarantino, Martin Ubl, "An Evolution-based Machine Learning Approach for Inducing Glucose Prediction Models", 2022 IEEE Symposium on Computers and Communications (ISCC). Greece: IEEE Xplore Conference Publishing, pp. 1-6, 2022
Tomas Koutny, Michael Mayo, "Predicting glucose level with an adapted branch predictor", Computers in Biology and Medicine, Volume 145, 2022
Tomas Koutny, "Physiological reconstruction of blood glucose level using CGMS-signals only", Scientific Reports, Nature Publishing Group, Volume 12, pp. 1-11, 2022
Ivanoe De Falco, Anonio della Cioppa, Tomas Koutny, Umberto Scafuri, Ernesto Tarantino, Martin Ubl, "Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models", 2021 IEEE Symposium on Computers and Communications (ISCC). Greece: IEEE Xplore Conference Publishing, pp. 1-6, 2021
Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino, Anonio della Cioppa, Tomas Koutny, Michal Krcma, "A Grammatical Evolution Approach for Estimating Blood Glucose Levels", 2020 IEEE Globecom. USA: IEEE Xplore Conference Publishing, pp. 1-6, 2020
Michael Mayo, Tomas Koutny, "Neural Multi-class Classification Approach to Blood Glucose Level Forecasting with Prediction Uncertainty Visualisation", The 5th International Workshop on Knowledge Discovery in Healthcare Data (KDH), Volume 2675, pp. 80-84, 2020
Tomas Koutny, Martin Ubl "SmartCGMS as a Testbed for a Blood-Glucose Level Prediction and/or Control Challenge with (an FDA-Accepted) Diabetic Patient Simulation", Procedia Computer Science, Volume 177, pp. 354-362, 2020
Martin Ubl, Tomas Koutny, "SmartCGMS as an Environment for an Insulin-Pump Development with FDA-Accepted In-Silico Pre-Clinical Trials", Procedia Computer Science, Volume 160, pp. 322-329, 2019
Ivanoe De Falco, Anonio della Cioppa, Angelo Giugliano, Angelo Marcelli, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino, "A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their derivatives", Applied Soft Computing, 2019, Volume 77, pp. 316-328.
Tomas Koutny, Martin Ubl, Ivanoe De Falco, Ernesto Tarantino, Umberto Scafuri, Anonio della Cioppa, Michal Krcma, "Comparing the PaGMO Framework to a De-randomized Meta-Differential Evolution on Calculation and Prediction of Glucose Levels", 2019 IEEE Symposium on Computers and Communications (ISCC), Greece: IEEE Xplore Conference Publishing, pp. 1056-1061, 2019
Tomas Koutny, Martin Ubl, "Parallel software architecture for the next generation of glucose monitoring", Procedia Computer Science, Volume 141C, pp. 279-286, 2018
Ivanoe De Falco, Anonio della Cioppa, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino, "Genetic Programming-based Induction of a Glucose-Dynamics Model for Telemedicine", Journal of Network and Computer Applications, Volume 119, pp. 1-13, 2018
Tomas Koutny, David Siroky, "Analyzing Energy Requirements of Meta-Differential Evolution for Future Wearable Medical Devices", World Congress on Medical Physics and Biomedical Engineering, Prague, 2018
Ivanoe De Falco, Anonio della Cioppa, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino, Angelo Giugliano, "An evolutionary methodology for predicting blood glucose levels from interstitial glucose measurements and their derivatives", IEEE Symposium on Computers and Communications, 2018, Natal
Ivanoe De Falco, Anonio della Cioppa, Tomas Koutny, Michal Krcma, Umberto Scafuri, Ernesto Tarantino, "An Evolutionary Approach for Estimating the Blood Glucose by Exploiting Interstitial Glucose Measurements", Proceedings of the Joint Conference of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies, January 9 - 21, 2018, Madeira, Portugal
Tomas Koutny, "Crosswalk - a time-ordered metric", Proceedings of the Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), June 11 - 15, 2017, Tampere, Finland
Tomas Koutny "Modelling of Glucose Dynamics for Diabetes", Proceedings of 5th International Work-Conference on Bioinformatics and Biomedical Engineering, April 26 - 28, 2017, Granada, Spain
Tomas Koutny, Michal Krcma, Josef Kohout, Petr Jezek, Jan Varnuskova, Petr Vcelak, Jan Strnadek, "On-line blood glucose level calculation", Procedia Computer Science, Volume 98, pp. 228-235, 2016
Tomas Koutny, "Using meta-differential evolution to enhance a calculation of a continuous blood glucose level", Computer Methods and Programs in Biomedicine, August 2016, Volume 133, pp. 45 - 54
Jan Strnadek, Tomas Koutny, Josef Kohout "Introducing the effect of aging into the Honey Bee Mating Optimization to determine parameters or blood glucose level calculation", Proceedings of the 9th International Conference on Human System Interaction, Portsmouth, United Kingdom, 2016
Tomas Koutny, "Blood glucose level reconstruction as a function of transcapillary glucose transport", Computers in Biology and Medicine, October 2014, Volume 53, pp. 171-178
Tomas Koutny, "Experience with Lamport Clock Ordered Events with Intel Threading Building Blocks in a Glucose-Level Prediction Software", Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, Granada, Spain, 2014
Tomas Koutny, "Glucose Predictability, blood capillary permeability, and glucose utilization rate in subcutaneous, skeletal muscle, and visceral fat tissues". Computers in Biology and Medicine, November 2013, Volume 43, pp. 1680-1686
Tomas Koutny, "Gluocose-Level Interpolation for Determining Glucose Distribution Delay", Proceedings of XIII Mediterranean Conference on Medical and Biological Engineering and Computing, Sevilla, Spain, 2013
Tomas Koutny, "Prediction of interstitial glucose level", IEEE Transactions on Information Technology in Biomedicine, January 2012, vol. 16, is. 1, pp. 136 – 142
Tomas Koutny, "Estimating Reaction Delay for Glucose Level Prediction", Medical Hypotheses, Volume 77, Issue 6, pp. 1034-1037, 2011
Tomas Koutny, "Modeling of Compartment Reaction Delay and Glucose Travel Time through Interstitial Fluid in Reaction to a Change of Glucose Concentration", Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine, Corfu, Greece, 2010