Author

Temiloluwa Prioleau

2 papers indexed here

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Review Open access Sep 2026

Deep learning for blood glucose prediction: Reproducibility challenges and factors affecting differential performance

Blood glucose prediction is a critical component of next-generation diabetes technologies, such as artificial pancreas systems, where reliable performance is essential for safety and effectiveness. Although deep learning methods have achieved promising advances in this area, a critical gap remains in understanding the...

Bai-Ying Lu, B. Wagle, Zhao-Hui Liang et al. · PLOS Digital Health · 0 citations

#artificial intelligence Jul 2025

Glucose-ML: A collection of longitudinal diabetes datasets for development of robust AI solutions

It is shown that the same algorithm can have significantly different prediction results when developed/evaluated with different datasets, and recommended recommendations for developing robust AI solutions within the diabetes or broader health domain are then used.

Temiloluwa Prioleau, Baiying Lu, Yan-Jun Cui · arXiv.org · 1 citation