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Gabriele Lando

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

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194

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0

Scholarly Papers (2)

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1.

A rigorous UHPLC-HRMS untargeted workflow for Bipolar Disorder metabolic fingerprinting

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A rigorous UHPLC-HRMS untargeted workflow for Bipolar Disorder metabolic fingerprinting

Number of pages: 27 Posted: 05 Dec 2025
Sara Tanilli, Maria Mazzagatti, Rosangela Santalucia, Matteo Chiarello, Giovanni Solarino, Marco Pazzi, Alessandra Olarini, Marta massano, Paolo Garofano, Anna Bellicanta, Gabriele Lando, Marco Vincenti and Eugenio Alladio
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Turin, University of Turin - Department of Chemistry, University of Turin, affiliation not provided to SSRN, University of Turin, Centro Regionale Antidoping "Alessandro Bertinaria", affiliation not provided to SSRN, affiliation not provided to SSRN, Universita degli Studi di Torino and University of Turin
Downloads 82 (798,777)

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Untargeted metabolomics, bipolar disorder, Compound Discoverer, high-dimensional data, machine learning

A rigorous UHPLC-HRMS untargeted workflow for Bipolar Disorder metabolic fingerprinting

Number of pages: 21 Posted: 10 Feb 2026
Sara Tanilli, Maria Mazzagatti, Rosangela Santalucia, Matteo Chiarello, Giovanni Solarino, Marco Pazzi, Alessandra Olarini, Marta massano, Paolo Garofano, Anna Bellicanta, Gabriele Lando, Marco Vincenti and Eugenio Alladio
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Turin, University of Turin - Department of Chemistry, University of Turin, affiliation not provided to SSRN, University of Turin, Centro Regionale Antidoping "Alessandro Bertinaria", affiliation not provided to SSRN, affiliation not provided to SSRN, Universita degli Studi di Torino and University of Turin
Downloads 17 (1,548,841)

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Untargeted metabolomics, bipolar disorder, Compound Discoverer, high-dimensional data, machine learning

2.

Pyes – an Open-Source Software for the Computation of Solution and Precipitation Equilibria

Number of pages: 37 Posted: 02 Mar 2023
Lorenzo Castellino, Eugenio Alladio, Stefano Bertinetti, Gabriele Lando, Concetta De Stefano, Salvador Blasco, Enrique García-España, Sofia Gama, Silvia Berto and Demetrio Milea
University of Turin, University of Turin, University of Turin, affiliation not provided to SSRN, University of Messina, University of Valencia, University of Valencia, University of Lisbon, University of Turin and Università degli Studi di Messina
Downloads 95 (715,072)

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species distribution, titrations, Stability constants, Solution equilibria, precipitation equilibria, python