Microbiome in Multiple Sclerosis: Towards personalized medicine

Esta tesis se defenderá en euskara e inglés.

This thesis explores the role of the gut microbiota in Multiple Sclerosis (MS) and its potential as a biomarker for personalized medicine. The gut microbiota, a diverse ecosystem of microorganisms, is crucial for maintaining health and has been linked to various diseases, including MS. The thesis presents Mbiome, a bioinformatic tool designed to standardize and automate microbiome analysis, addressing the lack of transparency and customization in commercial software. The research also incorporates machine learning (ML) techniques to classify and predict disease states and progression in people with MS based on microbiome data. The findings highlight the significance of gut microbiota in MS and emphasize the potential of ML and personalized medicine for improving disease management.