Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action.

ABSTRACT: The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and prognostic applications targeting a wide range of disorders, which could substantially improve healthcare practices in the era of precision medicine. However, several challenges must be addressed to exploit the benefits of ML in this field fully. In particular, there is a need to establish "gold standard" protocols for conducting ML analysis experiments and improve interactions between microbiome researchers and ML experts. The Machine Learning Techniques in Human Microbiome Studies (ML4Microbiome) COST Action CA18131 is a European network established in 2019 to promote collaboration between discovery-oriented microbiome researchers and

SUBMITTER: D'Elia D 

PROVIDER: S-EPMC10558209 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature