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Type 1 diabetes mellitus is a chronic disease that requires those affected to self-administer insulin to control their blood glucose level. However, the estimation of the correct insulin dosage is not easy due to the complexity of glucose metabolism, which usually leads to blood glucose levels far from the optimal. This paper presents an adaptive and personalised basal insulin recommender system based on Kalman filter theory that can be used with or without continuous glucose monitoring systems. The proposed approach is tested with the UVa/PADOVA simulator with eleven virtual adult subjects. It has been tested in combination with two different bolus calculators, and the performance achieved has been compared with that obtained with the default basal doses of the simulator, which can be assumed as optimal. The achieved results demonstrate that the proposed system rapidly converges to the optimal basal dose, and it can be used with adaptive bolus calculators without the risk of instability This project has received funding from the grant of the University of Girona 2016-2018 (MPCUdG2016) and the European Union Horizon 2020 research and innovation programme under grant agreement No. 689810, www.pepper.eu.com/, PEPPER

Pòster de congrés presentat a: ICT 2018: Imagine Digital - Connect Europe (4-6 Desembre: Viena, Austria) PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is a research and innovation project to develop a personalised clinical decision support system for Type 1 diabetes self-management. The tool provides insulin bolus dose advice and carbohydrate recommendations, tailored to the needs of individuals. The former is determined by Case-Based Reasoning (CBR, Fig. 1), an artificial intelligence technique that adapts to new situations according to past experience. The latter uses a model-based approach (Fig. 2) that also promotes safety by providing glucose alarms, low-glucose insulin suspension and fault detection This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 689810

Pòster de congrés presentat a: International Conference on Advanced Technologies & Treatments for Diabetes (ATTD) (10th: 15-18 Febrer 2017: Berlin) PEPPER (Patient Empowerment through Predictive PERsonalised decision support) is an EU-funded research project to develop a personalised clinical decision support system for Type 1 diabetes self-management. The tool provides insulin bolus dose advice and carbohydrate recommendations, tailored to the needs of individuals. The former is determined by Case-Based Reasoning (CBR), an artificial intelligence technique that adapts to new situations according to past experience. The latter uses a predictive computer model that also promotes safety by providing glucose alarms, low-glucose insulin suspension and fault detection This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 689810

Pòster de congrés presentat a: Congreso Nacional de la Sociedad Española de Diabetes (SED) (28è: 5-7 Abril 2017: Barcelona) Patient Empowerment Through Predictive Personalised Decision Support (PEPPER) es un projecto de investigación que desarrolla un sistema personalizado de soporte de decisiones para la autogestión de la diabetes tipo 1 (DM1). PEPPER proporciona recomendaciones en cuanto a la dosis de bolo de insulina (utilizando el razonamiento basado en casos (CBR), una técnica de inteligencia artificial que se adapta a nuevas situaciones de acuerdo con las experiencias pasadas) e ingesta de carbohidratos, basándose en un modelo informático predictivo que promueve la seguridad, proporcionando además, alarmas de predicción de glucemia, suspensión de infusión de insulina y detección de fallos. El objetivo de este proyecto es evaluar la factibilidad, la seguridad, la usabilidad y la viabilidad del sistema PEPPER Este proyecto ha recibido financiación del programa de investigación e innovación Horizonte 2020 de la UE bajo acuerdo de subvención nº 689810

Comunicació de congrés presentada a: Workshop on Artificial Intelligence for Diabetes (AID) (1st: 2016: The Hague, Holanda) i European Conference on Artificial Intelligence (ECAI) (22nd: The Hage, Holanda) Aquest workshop ha rebut finançament del programa d'investigació i innovació EU Horizon 2020 sota el núm. d'ajut 689810 PEPPER is a newly-launched three-year research project, funded by the EU Horizon 2020 Framework. It will create a portable personalised decision support system to empower individuals on insulin therapy to self-manage their condition. PEPPER employs Case-Based Reasoning to advise about insulin bolus doses, drawing on various sources of physiological, lifestyle, environmental and social data. It also uses a Model-Based Reasoning approach to maximise users’ safety. The system will be integrated with an unobtrusive insulin patch pump and has a patient-centric development approach in order to improve patient self-efficacy and adherence to treatment This project has received funding from the EU Horizon 2020 research and innovation programme under grant agreement No 689810