1. Ibrahim, M; Beneyto, A.; Contreras, I; Vehi, J (2024) An ensemble machine learning approach for the detection of unannounced meals in automated insulin delivery systems. Computers in Biology and Medicine, Volume 171, 108154.
2. Mujahid, O; Contreras, I; Beneyto, A; Vehi, J (2024) Generative deep learning for the development of a type 1 diabetes simulator. Communications Medicine 4, Article number: 51.

1. Jacobs,P; Herrero,P; Facchinetti, A; Vehi, J;…Mosuqera-Lopez, C (2023)Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities.IEEE Review in Biomedical Engineering
2. Muhammad, I; Beneyto, A; Contreras; Vehi, J (2023) Faults and Fault Tolerance In Automated Insulin Delivery Systems with an emphasis on human-in-the-loop. IFAC WC Japan
3. Contreras, I; Guso,M; Beneyto, A; Vehi,J (2023)Photo-based Carbohydartes counting using Pre-trained transformer models. IFAC WC Japan
4. Cabrera,A; Estremera,E; Beneyto, A; Biagi, L; Contreras, I; Martín-Fernandez, JA; Vehi, J (2023) Individualized Prediction of Blood Glucose Outcomes Using Compositional Data Analysis. Mathematics, 11(21), 4517
5. Mesa, A; Beneyto, A; Martín-SanJose; Viaplana, J; Bondia, J; Vehi, J; Conget, I; Giménez, M (2023) Safety and performance of a hybrid closed-loop insulin delivery system with carbohydrate suggestion in adults with type 1 diabetes prone to hypoglycemia. Diabetes Research and Clinical Practice. Volume 205, November 2023, 110956
6. Contreras, I; Navarro-Otano, J; Rodriguez-Pinto, I; Güemes, A; Alves, E; Rios-Garcés, R; Espinosa, G; Alehandre, A; Beneyto, A; Ramkisson, CM; Vehí, J; Cervera, R (2023)Optimizing Noninvasive Vagus Nerve Stimulation for Systemic Lupus Erythematosus: Protocol for a Multicenter Randomized Controlled Trial. JMIR Res Protoc; 12e48387
7. Contreras, I; Muñoz-Organero, M; Beneyto, A; Vehi, J (2023) Active labeling correction of mealtimes and the appearance of types of carbohydrates in type 1 diabetes information records. Mathematics 11(19), 4050
8. Cabrera, A; Biagi, L; Beneyto, A; Estremera, E; Contreras, I; Gimenez, M; Conget, I; Bondia, J; Martín-Fernández, J.A; Vehi, J (2023) Validation of a Probabilistic Prediction Model for Patients with Type 1 Diabetes Using Compositional Data Analysis. Mathematics 11(5), 1241 
9. Estremera, E; Beneyto, A; Cabrera, A; Contreras, I; Vehí, J (2023) Intermittent closed-loop blood glucose control for people with type 1
   diabetes on multiple daily injections. Computer Methods and Programs in Biomedicine 236 (107568)

1. Noguer, J; Contreras, I; Mujahid, O; Beneyto, A; Vehi, J (2022) Generation of Individualized Synthetic Data for Augmentation of the Type 1 Diabetes Data Sets Using Deep Learning Models. Sensors 22(13), 4944

2. Parcerisas,A; Contreras,I;  Delecourt,A; Bertachi,A; Beneyto,A; Conget,I;  Viñals,C; Giménez,M and Vehi,J (2022) A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin. Sensors 2022, 22(4), 1665

3. Vehi, J; Mujahid, O; Contreras, I, Artificial (2022) Intelligence and Machine Learning for Diabetes Decision Support. Advanced Bioscience and Biosystems for Detection and Management of Diabetes pp 259–272 (Book Chapter)

4. Estremera, E; Cabrera, A; Beneyto,A; Vehi, J (2022) A simulator with realistic and challenging scenarios for virtual T1D patients
undergoing CSII and MDI therapy. Journal of Biomedical Informatics, 132

5. Mujahid, O; Contreras, I; Beneyto, A; Conget,I; Gimenez, M; Vehi, J (2022) Conditional Synthesis of Blood Glucose Profiles for T1D Patients Using Deep Generative Models. Mathematics 10(20), 3741

6. Ahmad, S; Beneyto, A; Conteras, I; Vehi, J (2022) Bolus Insulin calculation without meal information. A reinforcement learning approach. Artificial Intelligence in Medicine 134(1)

7. Vehi,J; Mujahid,O; I Contreras (2022) Aim and Diabetes. Artificial Intelligence in Medicine, 701-709

1. Beneyto, A;Puig, V; Bequette, BW;Vehi, J (2021)A Hybrid Automata Approach for Monitoring the Patient in the Loop in Artificial Pancreas Systems.  SENSORS 21 (21)

2. Sainz, MA; Calm, R ;Jorba, L ;Contreras, I ;Vehi, J (2021) Marks: A New Interval Tool for Uncertainty, Vagueness and Indiscernibility. MATHEMATICS 9 (17)

3. Ahmad, S;Ramkissoon, CM; Beneyto, A;Conget, I ;Gimenez, M; Vehi, J (2021) Generation of Virtual Patient Populations That Represent Real Type 1 Diabetes Cohorts. MATHEMATICS 9 (11)

4. Biagi, L;Bertachi, A;Gimenez, M; Conget, I; Bondia, J; Martin-Fernandez, JA; Vehi, J (2021) Probabilistic Model of Transition between Categories of Glucose Profiles in Patients with Type 1 Diabetes Using a Compositional Data Analysis Approach. SENSORS 21 (11)

5. Ramkinssoon, C; Guemes, A; Vehi,J (2021) Overview of therapeutic applications of non-invasive vagus nerve stimulation: a motivation for novel treatments for systemic lupus erythematosus.  Bioelectronic medicine 7 (1) , pp.8

6. Contreras, I; Calm, R; Sainz, MA; Herrero, P: Vehi, J (2021) Combining Grammatical Evolution with Modal Interval Analysis: An Application to Solve Problems with Uncertainty. MATHEMATICS 9 (6)

7. Beneyto, A; Bequette, W; Vehi, J (2021) Fault-Tolerant Strategies for Automated Insulin Delivery Considering the Human Component: Current and Future Perspectives. Journal of diabetes science and technology 15 (6) , pp.1224-1231

8. Mujahid, O; Contreras, I; Vehi, J (2021) Machine Learning Techniques for Hypoglycemia Prediction: Trends and Challenges. SENSORS 21 (2)

9. Vinals, C; Beneyto, A; Martin-SanJose, JF; Furio-Novejarque, C; Bertachi,A; Bondia, Vehi, J; Conget, I; Gimenez, M (2021) Artificial Pancreas With Carbohydrate Suggestion Performance for Unannounced and Announced Exercise in Type 1 Diabetes. JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM 106 (1) , pp.55-63

10. Toledo, EE; Vehi, J; Beneyto, A;  Tejera, AC (2021) Generation Of Realistic Scenarios Including Insulin Variability and Mixed Meal Library. DIABETES TECHNOLOGY & THERAPEUTICS 23 , pp.A97-A98

11. M Flor, S Herraiz, I Contreras  (2021) Definition of Residential Power Load Profiles Clusters Using Machine Learning and Spatial Analysis. Energies 14, 20, 6565-6575    

12. Tejera, AC; Vehi, J; Beneyto, A; Toledo, EE  (2021) Incorporating Long-Acting Insulin into The Hovorka Model for In Silico Simulations of Mdi Therapies in T1dm Patients. DIABETES TECHNOLOGY & THERAPEUTICS 23 , pp.A98-A98

13. Zainee, NM; Chellappan, K; Vehi, J ;  Periyasamy, P (2021) The vital sign and haematological profile of adult dengue fever: a retrospective study. AIMS MEDICAL SCIENCE 8 (1) , pp.56-69

14. Zainee, NM; Chellappan, K; Vehi, J ;  Periyasamy, P; Man, ZC (2021) Clinical data analysis of dengue fever severity identification. BIOMEDICAL RESEARCH AND THERAPY 8 (7) , pp.4447-4455

15. Vehi, J; Mujahid, O; Contreras, I (2021) Artificial Intelligence in Medicine: Aim and diabetes. Springer Reference Medicine p.1-9 (Book Chapter)

1. Beneyto, A; Bertachi, A; Bondia, J; Vehi, J (2020) A New Blood Glucose Control Scheme for Unannounced Exercise in Type 1 Diabetic Subjects. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY 28 (2) , pp.593-600

2. Bertachi, A; Vinals, C; Biagi, L; Contreras, I; Vehi, J; Conget, I; Gimenez, M (2020) Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor. SENSORS 20 (6

3. Vehi, J; Contreras, I; Oviedo, S; Biagi, L; Bertachi, A (2020) Prediction and prevention of hypoglycaemic events in type-1 diabetic patients using machine learning. HEALTH INFORMATICS JOURNAL 26 (1) , pp.703-718

4. Bertachi, A; Biagi,L; Beneyto,A; vehi, J (2020) Dynamic Rule-Based Algorithm to Tune Insulin-on-Board Constraints for a Hybrid Artificial Pancreas System. JOURNAL OF HEALTHCARE ENGINEERING 2020

5. Contreras, I; Bertachi, A; Biagi, L; Oviedo, S; Ramkissoon, C; Vehi, J (2020) Artificial intelligence-based decision support systems for diabetes.  ARTIFICIAL INTELLIGENCE IN PRECISION HEALTH: FROM CONCEPT TO APPLICATIONS , pp.329-357

6. Vinals, C; Beneyto, A; Martin-Sanjose, JF; Furio-Novejarque, C; Bertachi, A; Bondia, J; Vehi, J; Conget, I; Gimenez,M (2020) Automatic Control of Blood Glucose Under Announced and Unannounced Exercise Using a New Multivariable Closed Loop Controller with Automatic Carbohydrate Suggestion and Mitigation Module. DIABETES TECHNOLOGY & THERAPEUTICS 22 , pp.A36-A36

7. Ramkissoon, CM; Bertachi, A; Beneyto, A; Bondia, J; Vehi, J (2020) Detection and Control of Unannounced Exercise in the Artificial Pancreas Without Additional Physiological Signals. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 24 (1) , pp.259-267

8. Contreras, I; Bertachi, A; Biagi, L; Oviedo, S;Ramkissoon, C; Vehi, J. Edited by Barh, D (2020) Artificial Intelligence in Precision Health: From concept to Applications Chapter:Artificial intelligence-based decision support systems for diabetes. ARTIFICIAL INTELLIGENCE IN PRECISION HEALTH: FROM CONCEPT TO APPLICATIONS , pp.329-357 (Book Chapter)

1. Biagi, L; Bertachi, A; Gimenez, M; Conget, I; Bondia, J; Martin-Fernandez, JA: Vehi, J (2019) Individual categorisation of glucose profiles using compositional data analysis. STATISTICAL METHODS IN MEDICAL RESEARCH 28 (12) , pp.3550-3567

2. Liu, CY ; Vehi, J; Avari, P; Reddy, M; Oliver, N; Georgiou, P; Herrero, P   (2019) Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal.SENSORS 19 (19)

3. Oviedo,S; Contreras,I; Bertachi, A; Quiros, C ; Gimenez, M; Conget, I; Vehi, J (2019) Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 178 , pp.175-180

4. Oviedo, S; Contreras, I; Quiros, C; Gimenez, M; Conget, I; Vehi,J (2019) Risk-based postprandial hypoglycemia forecasting using supervised learning. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS 126 , pp.1-8

5. Vehi, J; Isern, JR; Parcerisas, A; Calm, R; Contreras, I  (2019) Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study. JMIR MHEALTH AND UHEALTH 7 (3)

6. Bertachi, A; Ramkissoon, CM; Beneyto, A; Vehi, J   (2019) Exercise-induced hypoglycemia in type 1 diabetes: in-silico comparison between announced and unannounced strategies in closed-loop control. IFAC PAPERSONLINE 52 (1) , pp.1000-1005

7. Biagi, L; Bertachi, A ; Martin-Fernandez, JA; Vehi, J (2019) Compositional Data Analysis of Glucose Profiles of Type 1 Diabetes Patients.IFAC PAPERSONLINE 52 (1) , pp.1006-1011

8. Bertachi, A; Vinals, C; Biagi, L; Contreras, I; Gimenez, M; Conget, I; Vehi, J   (2019) Machine learning forecasting nocturnal hypoglycemia in type 1 diabetes under multiple daily injections using continuous glucose monitoring and physical activity monitor. DIABETOLOGIA 62 , pp.S412-S412

9. Biagi, L; Bertachi, A; Gimenez, M; Conget, I; Bondia, J; Martin-Fernandez, JA; Vehi, J (2019) Categorization and Prediction of Glucose Profiles of Type 1 Diabetes Patients Based on a Compositional Data Analysis Approach. DIABETES TECHNOLOGY & THERAPEUTICS 21 , pp.A70-A70

10. Oviedo, S; Contreras, I; Quiros, C; Giménez, M; Conget, I; Vehi, J  (2019) Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques. Journal of Diabetes Science and Technology – DTM 2018, 13(2)

11. Bondia, J; Vehi, J ;SanchezPena, RS; Chernavvsky, DR  (2019) Strategies to mitigate hypoglycemia in the artificial pancreas.ARTIFICIAL PANCREAS: CURRENT SITUATION AND FUTURE DIRECTIONS , pp.195-217

12. Bondia, J  ; Vehi, J SanchezPena, RS ; Chernavvsky, DR (2019) Strategies to mitigate hypoglycemia in the artificial pancreas. ARTIFICIAL PANCREAS: CURRENT SITUATION AND FUTURE DIRECTIONS , pp.195-217 (Book Chapter)

13. Armengol J, de la Fuente M J, Puig V. Introduction, in: Fault Diagnosis of Dynamic Systems (2019); 1-16; Springer, Cham; ISBN: 978-3-030-17727-0 (C) – (Book Chapter)

14. Puig V, de la Fuente M J, Armengol J. FDI approach, in: Fault Diagnosis of Dynamic Systems (2019); 69-95; Springer, Cham; ISBN: 978-3-030-17727-0 (C) – (Book Chapter)

15. Beneyto,; Vehi, J (2018) Postprandial fuzzy adaptive strategy for a hybrid proportional derivative controller for the artificial pancreas. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 56 (11) , pp.1973-1986

16. Quiros, C; Bertachi, A; Gimenez, M; Biagi, L ; Viaplana, J; Vinals, C;  Vehi, J; Conget, I; Bondia, J (2018) Blood glucose monitoring during aerobic and anaerobic physical exercise using a new artificial pancreas system.ENDOCRINOLOGIA DIABETES Y NUTRICION 65 (6) , pp.342-347

17. Rosales, N; De Battista, H; Vehi, J; Garelli, F (2018) Open-loop glucose control: Automatic IOB-based super-bolus feature for commercial insulin pumps.COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 159 , pp.145-158

18. Contreras,I; Vehi, J (2018) Artificial Intelligence for Diabetes Management and Decision Support: Literature Review. JOURNAL OF MEDICAL INTERNET RESEARCH 20 (5)

19. Bertachi, A; Beneyto, A; Ramkissoon, CM;  Vehi, J (2018) Assessment of Mitigation Methods to Reduce the Risk of Hypoglycemia for Announced Exercise in a Uni-hormonal Artificial Pancreas.DIABETES TECHNOLOGY & THERAPEUTICS 20 (4) , pp.285-295

20. Quiros, C.; Bertachi, A.; Gimenez, M.; Biagi, L.; Viaplana, J.; Vinals, C.; Vehi, J.; Conget, I.; Bondia, J. (2018) Control de la glucemia durante el ejercicio físico aeróbico y anaeróbico mediante un nuevo sistema de páncreas artificial. Vol. 65. Núm. 6.páginas 342-347 

21. Beneyto, A., Bertachi, A., Bondia, J., & Vehi, J. (2018). A new blood glucose control scheme for unannounced exercise in type 1 diabetic subjects. IEEE Transactions on Control Systems Technology, 28(2), 593-600.

22. Bertachi, A; Ramkissoon, CM; Bondia, J; Vehi, J (2018) Automated blood glucose control in type 1 diabetes: A review of progress and challenges. ENDOCRINOLOGIA DIABETES Y NUTRICION 65 (3) , pp.172-181

23. Vehi, J; Parcerisas, A; Calm, R; Regincos, J  (2018) Mobile Diabetes Management App Significantly Reduces Low and High Blood Glucose Risks Regardless of Its Frequency of Use. DIABETES TECHNOLOGY & THERAPEUTICS 20 , pp.A81-A82

24. Contreras, I ;Hidalgo, J ;Nuñez, L (2018) Exploring The Influence Of Industries And Randomness In Stock Prices. Empirical Economics, 55(2), 713–729                

25. Biagi, L; Bertachi, A; Quiros, C; Gimenez, M; Conget, I; Bondia, J; Vehi, J (2018) Accuracy of Continuous Glucose Monitoring before, during, and after Aerobic and Anaerobic Exercise in Patients with Type 1 Diabetes Mellitus.  BIOSENSORS-BASEL 8 (1)

26. Ramkissoon, CM; Herrero, P;  Bondia, J, Vehi, J (2018) Unannounced Meals in the Artificial Pancreas: Detection Using Continuous Glucose Monitoring.SENSORS 18 (3)

27. Contreras,I; Oviedo, S;  Vettoretti, M; Visentin, R; Vehi, J (2017) Personalized blood glucose prediction: A hybrid approach using grammatical evolution and physiological models. PLOS ONE 12 (11)

28. Biagi, L; Bertachi, A; Conget,I; Quiros, C; Gimenez,M; Rosseti,P; Ampudia, FJ; Bondia,J; Vehí, J (2017) Extensive Assessment of Blood Glucose Monitoring During Postprandial Period and Its Impact on Closed-Loop Performance. Journal of diabetes science and technology 11 (6) , pp.1089-1095

29. Beneyto, A; Vehi, J (2017) Closed-loop blood glucose control using insulin and carbohydrates in front meals and exercise.  IFAC PAPERSONLINE 50 (1) , pp.2058-2063

30. Ramkisson, C; Auferheide,B; Bequette, B; Vehi,J   (2017) A Review of Safety and Hazards Associated With the Artificial Pancreas. IEEE Rev Biomed Eng, 10:44-62.

31. Bertachi,A; Ramkisson,C; Bondia,J; Vehi,J (2017) Automated blood glucose control in type 1 diabetes: A review of progress and challenges. Endocrinol Diabetes Nutr 65(3):172-181

32. Contreras, I; Hidalgo, JI; Nuñez, L; Velasco, JM (2017) A meta-grammatical evolutionary process for portfolioselection and trading. Genetic Programming and Evolvable Machines 18(3)

33. Contreras I, Hidalgo J I, Nunez-Letamendia L. A hybrid automated trading system based on multi-objective grammatical evolution; Journal of Intelligent & Fuzzy Systems 2017; 32(3):2461-2475

34. Rossetti P, Quiros C, Moscardo V, Comas A, Gimenez M, Ampudia-Blasco F J, Leon F, Montaser E, Conget I, Bondia J, Vehi J. Closed-Loop Control of Postprandial Glycemia Using an Insulin-on-Board Limitation Through Continuous Action on Glucose Target; Diabetes Technology and Therapeutics 2017; 19(6):355-362

35. L Biagi, C Ramkissoon, A Facchinetti, Y Leal, J Vehí. Modeling the Error of the Medtronic Paradigm VEO Enlite Glucose Sensor; Sensors (Basel) 2017; 17(6):1361

36. S Oviedo, J Vehí, R Calm, J Armengol. A review of personalized blood glucose prediction strategies for T1DM patients; International Journal for Numerical Methods in Biomedical Engineering 2016; 33(6):e2833

37. C M Ramkissoon, P Herrero, J Bondia, P Georgiou, N Oliver, J Vehí. Automatic detection of exercise in people with type 1 diabetes using an unscented kalman filtre; Diabetes Technology and Therapeutics 2016; 18(S1):A56

38. Rossetti P, Quiros C, Moscardo V, Comas A, Gimenez M, Ampudia-Blasco F J, Leon F, Montaser E, Conget I, Bondia J, Vehi J. Better Postprandial Glucose Control with a New Closed-Loop System as Compared with Open-Loop Treatment in Patients with Type 1 Diabetes; Diabetes 2016; 65:A258

39. C Quiros, M Gimenez, P Rossetti, V Moscardo, A Comas, FJ Ampudia, F Leon, E Montaser, I Conget, J Bondia, J Vehi. Better postprandial glucose control with a new closed-loop system as compared with open-loop treatment in patients with type 1 diabetes; Diabetologia 2016; 59:S408

40. N Caterino, C T Georgakis, N Luo, J L Monsalve. Innovative tecnologies for reducing estructural vibrations due to natural events and human activities; Shock and Vibration 2016; Article ID: 2181509

41. Y Morales, G Bosque, J Vehí, J Picó, F Llaneras. PFA toolbox: a MATLAB tool for Metabolic Flux Analysis; BMC Systems Biology Volume 2016; 10:46