Research Team: Dr Pau Herrero Vinas, Peter Pesl, Maria Xenou, Mohamed El Sharkawy, Dr Monika Reddy, Dr Nick Oliver, Professor Des Johnston, Professor Chris Toumazou and Dr Pantelis Georgiou.

Type 1 diabetes is a chronic disease resulting in elevated blood glucose concentrations, which, if not managed, increases the risk of cardiovascular problems and can lead to blindness, kidney failure, and nerve damage. The standard treatment involves multiple daily injections of insulin to lower blood sugar levels accordingly. In order to calculate the right amount of insulin, simple bolus calculators exist, but often do not consider enough parameters to be effective and are not personalised. This research focuses on intelligent systems that help people with diabetes managing their blood glucose levels, thus reducing aforementioned long term complications and improving the quality of life of patients. 

This work analyses how various human and environmental factors, such as exercise, stress and alcohol consumption, influence blood glucose levels and how these parameters can be incorporated in intelligent decision support systems (DSS). One application of DSS in diabetes management is to provide recommendations for the amount of bolus insulin that is being administered when eating a meal.Our current DSS is built on Case-Based Reasoning, an artificial intelligence technique that learns over time based on past experiences and therefore is individualised for each patient. This has been fully integrated into a smatphone plaftorm for every day use by people suffering from diabetes.

Try our interactive Demo of ABC4D

Advanced Bolus Calculator for Diabetes (ABC4D) Promo

Advanced Bolus Calculator for Diabetes (ABC4D) Promo

Clinical Trials

Imperial College has an active study on the evaluation of an Advanced Bolus Calculator for Diabetes (ABC4D). There is a more information on the

Related Publications

  • Herrero P., Pesl P., Reddy M., Oliver N., Georgiou P., and Toumazou C. Advanced Insulin Bolus Advisor based on Run-To-Run Control and Case-Based Reasoning. IEEE J Biomed Health Inform, 2014 (In Press).
  • 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. Computer Methods and Programs in Biomedicine, 2015 (In Press).