default author photo

Paolo Garofano

Centro Regionale Antidoping "Alessandro Bertinaria"

SCHOLARLY PAPERS

2

DOWNLOADS

182

TOTAL CITATIONS

0

Scholarly Papers (2)

Actions:
Email selected abstracts
1.

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

Downloads 99 (699,467)

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)

Abstract:

Loading...

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)

Abstract:

Loading...

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

2.

An Initial Exploration of Machine Learning for Establishing Associations between Genetic Markers and THC Levels in Cannabis Sativa Samples

Number of pages: 26 Posted: 02 Feb 2024
Selena Cisana, Michele Di Nunzio, Valentina Brenzini, Monica Omedei, Fabrizio Seganti, Christina Ververi, Enrico Gerace, Alberto Salomone, Andrea Berti, Filippo Barni, Sergio Schiavone, Andrea Coppi, Ciro Di Nunzio, Paolo Garofano and Eugenio Alladio
Centro Regionale Antidoping "Alessandro Bertinaria", University of Barcelona - Forensic Genetics Laboratory - Legal Medicine Unit, University of Florence, Centro Regionale Antidoping "Alessandro Bertinaria", Centro Regionale Antidoping "Alessandro Bertinaria", Centro Regionale Antidoping "Alessandro Bertinaria", Centro Regionale Antidoping "Alessandro Bertinaria", University of Turin, Reparto CC Investigazioni Scientifiche di Cagliari, Reparto CC Investigazioni Scientifiche di Roma, Reparto CC Investigazioni Scientifiche di Roma, University of Barcelona, University of Naples Federico II, Centro Regionale Antidoping "Alessandro Bertinaria" and University of Turin
Downloads 83 (783,685)

Abstract:

Loading...

Cannabis Sativa, DNA typing, Δ9-THC content, Multivariate Statistical Analysis, Machine Learning