Publikationen, an denen er mitarbeitet Guillermo Quintás Soriano (10)

2024

  1. Assessing ATR-FTIR spectroscopy for steatosis quantification in liver biopsies in a long-duration cross-sectional study

    Microchemical Journal, Vol. 198

  2. Cluster-Partial Least Squares (c-PLS) regression analysis: Application to miRNA and metabolomic data

    Analytica chimica acta, Vol. 1286, pp. 342052

  3. Corrigendum to “Novel clinical phenotypes, drug categorization, and outcome prediction in drug-induced cholestasis: Analysis of a database of 432 patients developed by literature review and machine learning support” [Biomed. Pharmacother. 174 (2024) 116530] (Biomedicine & Pharmacotherapy (2024) 174, (S0753332224004141), (10.1016/j.biopha.2024.116530))

    Biomedicine and Pharmacotherapy

  4. Exploring Individual Variability in Drug-Induced Liver Injury (DILI) Responses through Metabolomic Analysis

    International Journal of Molecular Sciences, Vol. 25, Núm. 5

  5. Novel clinical phenotypes, drug categorization, and outcome prediction in drug-induced cholestasis: Analysis of a database of 432 patients developed by literature review and machine learning support

    Biomedicine and Pharmacotherapy, Vol. 174

2023

  1. Enhancing the accuracy of mid-infrared spectroscopy-based liver steatosis quantification using digital image analysis as a reference

    Analyst, Vol. 148, Núm. 13, pp. 3097-3106

  2. Gut Microbiota and Plasma Bile Acids Associated with Non-Alcoholic Fatty Liver Disease Resolution in Bariatric Surgery Patients

    Nutrients, Vol. 15, Núm. 14

2022

  1. Quantitative Prediction of Steatosis in Patients with Non-Alcoholic Fatty Liver by Means of Hepatic MicroRNAs Present in Serum and Correlating with Hepatic Fat

    International journal of molecular sciences, Vol. 23, Núm. 16

2020

  1. Toward Rapid Screening of Liver Grafts at the Operating Room Using Mid-infrared Spectroscopy

    Analytical Chemistry, Vol. 92, Núm. 21, pp. 14542-14549

2018

  1. Non-invasive prediction of NAFLD severity: A comprehensive, independent validation of previously postulated serum microRNA biomarkers

    Scientific Reports, Vol. 8, Núm. 1