Marcos Matabuena

Advancements in CGM technology improve diabetes management and patient care.

This article discusses methods for handling missing data in diabetes studies using CGM.

This article introduces a new method for predicting diabetes risk using survey data.

Introducing a framework to quantify uncertainty in predictive models, especially in complex data spaces.

This article discusses the significance of measuring uncertainty in health data analysis.

A look at how conformal prediction improves uncertainty quantification in biology.