|
Accuracy of metabolomics profiles to non-invasively diagnose NAFLD stages and evolution by mean of machine-learning automated algorithms |
|
|
|
Titel: |
Accuracy of metabolomics profiles to non-invasively diagnose NAFLD stages and evolution by mean of machine-learning automated algorithms |
Auteur: |
Masarone, M. Troisi, J. Aglitti, A. Calvanese, G. Torre, P. Caruso, R. Colucci, A. Dallio, M. Federico, A. Balsano, C. Persico, M. |
Verschenen in: |
Digestive and liver disease |
Paginering: |
Jaargang 52 () nr. S1 pagina's e9 |
Jaar: |
2020 |
Inhoud: |
|
Uitgever: |
Published by Elsevier B.V. |
Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
|
|
|
|