Herrero, Pau

Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities

Jacobs, P. G., Herrero, P., Facchinetti, A., Vehi, J., Kovatchev, B., Breton, M. D., Cinar, A., Nikita, K. S., Doyle, F. J., Bondia, J., et al. (2024) · IEEE Reviews in Biomedical Engineering

Diabetes Management and ResearchArtificial Intelligence in Healthcare

Cited by 113

Clinical safety and feasibility of the advanced bolus calculator for type 1 diabetes based on case-based reasoning: A 6-week nonrandomized single-arm pilot study

Reddy, M., Pesl, P., Xenou, M., Toumazou, C., Johnston, D., Georgiou, P., Herrero, P., & Oliver, N. (2016) · Diabetes Technology & Therapeutics

Diabetes Management and ResearchDiabetes Management and Education

Cited by 70

Enhancing automatic closed-loop glucose control in type 1 diabetes with an adaptive meal bolus calculator—in silico evaluation under intra-day variability

Herrero, P., Bondia, J., Adewuyi, O., Pesl, P., El-Sharkawy, M., Reddy, M., Toumazou, C., Oliver, N., & Georgiou, P. (2017) · Computer Methods and Programs in Biomedicine

Diabetes Management and ResearchDiabetes Management and Education

Cited by 63

A Composite Model of Glucagon-Glucose Dynamics for In Silico Testing of Bihormonal Glucose Controllers

Herrero, P., Georgiou, P., Oliver, N., Reddy, M., Johnston, D., & Toumazou, C. (2013) · Journal of Diabetes Science and Technology

Diabetes Management and ResearchPancreatic function and diabetes

Cited by 55

Robust Fault Detection System for Insulin Pump Therapy Using Continuous Glucose Monitoring

Herrero, P., Calm, R., Vehí, J., Armengol, J., Georgiou, P., Oliver, N., & Tomazou, C. (2012) · Journal of Diabetes Science and Technology

Diabetes Management and ResearchFault Detection and Control Systems

Cited by 52

Method for automatic adjustment of an insulin bolus calculator: In silico robustness evaluation under intra-day variability

Herrero, P., Pesl, P., Bondia, J., Reddy, M., Oliver, N., Georgiou, P., & Toumazou, C. (2015) · Computer Methods and Programs in Biomedicine

Diabetes Management and ResearchDiabetes Management and Education

Cited by 43

Differences for percentage times in glycemic range between continuous glucose monitoring and capillary blood glucose monitoring in adults with type 1 diabetes: analysis of the REPLACE-BG dataset

Avari, P., Uduku, C., George, D., Herrero, P., Reddy, M., & Oliver, N. (2020) · Diabetes Technology & Therapeutics

Diabetes Management and ResearchDiabetes Management and Education

Cited by 40

Enhancing the Capabilities of Continuous Glucose Monitoring With a Predictive App

Herrero, P., Andorrà, M., Babion, N., Bos, H., Koehler, M., Klopfenstein, Y., Leppäaho, E., Lustenberger, P., Peak, A., Ringemann, C., et al. (2024) · Journal of Diabetes Science and Technology

Diabetes Management and ResearchArtificial Intelligence in Healthcare

Cited by 31

Is a Cloud-Based Platform Useful for Diabetes Management in Colombia? The Tidepool Experience

León-Vargas, F., Martin, C., Garcia-Jaramillo, M., Aldea, A., Leal, Y., Herrero, P., Reyes, A., Henao, D., & Gomez, A. M. (2021) · Computer Methods and Programs in Biomedicine

Telemedicine and Telehealth ImplementationMobile Health and mHealth Applications

Cited by 14