Carlos Sevilla-Salcedo

Machine Learning applied to MALDI-TOF data in a clinical setting: a systematic review

This review evaluates ML applications for MALDI-TOF MS in clinical microbiology, identifying trends and challenges in bacterial identification, resistance prediction, and strain typing.

MARISMa: a routine MALDI-TOF MS database from 2018 to 2024 from Spain

The paper introduces a large MALDI-TOF MS dataset from Spain to support AI-driven clinical microbiology research and improve antimicrobial resistance detection.

Automatic surveillance of Escherichia coli bacteriological strains within clinical settings

This paper introduces an unsupervised method for detecting novel Escherichia coli strains using MALDI-TOF MS data and machine learning techniques.

Robust machine learning for Clostridioides difficile typing from mass spectrometry via data augmentation

This study improves ML-based C. difficile typing from MALDI-TOF MS spectra by using data augmentation to reduce performance variability across different experimental conditions.

Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging

The paper introduces a feature selection and extraction method for multiclass brain imaging problems, reducing feature dimensions while improving classification performance.