Pablo M. Olmos

This paper develops automated tools using MALDI-TOF MS and machine learning to accurately classify C. difficile ribotypes from clinical isolates.

The paper uses qEEG features from sleep stages to predict CSF oxidative biomarkers in early Alzheimer's disease with high accuracy.

This paper introduces a deep probabilistic model for handling ill-conditioned omics data, improving dimensionality reduction and classification while managing missing data and small sample sizes.