TENORI, LEONARDO
TENORI, LEONARDO
Chimica 'Ugo Schiff' - DICUS
A framework for validating AI in precision medicine: considerations from the European ITFoC consortium
2021 Tsopra R.; Fernandez X.; Luchinat C.; Alberghina L.; Lehrach H.; Vanoni M.; Dreher F.; Sezerman O.U.; Cuggia M.; de Tayrac M.; Miklasevics E.; Itu L.M.; Geanta M.; Ogilvie L.; Godey F.; Boldisor C.N.; Campillo-Gimenez B.; Cioroboiu C.; Ciusdel C.F.; Coman S.; Hijano Cubelos O.; Itu A.; Lange B.; Le Gallo M.; Lespagnol A.; Mauri G.; Soykam H.O.; Rance B.; Turano P.; Tenori L.; Vignoli A.; Wierling C.; Benhabiles N.; Burgun A.
A geroscience approach for Parkinson's disease: Conceptual framework and design of PROPAG-AGEING project
2021 Pirazzini C.; Azevedo T.; Baldelli L.; Bartoletti-Stella A.; Calandra-Buonaura G.; Dal Molin A.; Dimitri G.M.; Doykov I.; Gomez-Garre P.; Hagg S.; Hallqvist J.; Halsband C.; Heywood W.; Jesus S.; Jylhava J.; Kwiatkowska K.M.; Labrador-Espinosa M.A.; Licari C.; Maturo M.G.; Mengozzi G.; Meoni G.; Milazzo M.; Perinan-Tocino M.T.; Ravaioli F.; Sala C.; Sambati L.; Schade S.; Schreglmann S.; Spasov S.; Tenori L.; Williams D.; Xumerle L.; Zago E.; Bhatia K.P.; Capellari S.; Cortelli P.; Garagnani P.; Houlden H.; Lio P.; Luchinat C.; Delledonne M.; Mills K.; Mir P.; Mollenhauer B.; Nardini C.; Pedersen N.L.; Provini F.; Strom S.; Trenkwalder C.; Turano P.; Bacalini M.G.; Franceschi C.; Adarmes-Gomez A.; Bonilla-Toribio M.; Boninsegna C.; Broli M.; Buiza-Rueda D.; Carrion-Claro M.; Cilea R.; Clayton R.; Molin A.D.; De Luca S.; De Massis P.; Escuela-Martin R.; Fabbri G.; Gabellini A.; Giuliani C.; Guaraldi P.; Huertas I.; Macias D.; Macri S.; Magrinelli F.; Rodriguez J.F.M.; Mignani F.; Nassetti S.A.; Scaglione C.L.M.; Tejera-Parrado C.; Valzania F.; Ortega R.V.
A metabolomic perspective on coeliac disease.
2014 A. Calabrò;E. Gralka;C. Luchinat;E. Saccenti;L. Tenori
A metabolomics approach to elucidate apple fruit responses to static and dynamic controlled atmosphere storage
2017 Brizzolara, Stefano; Santucci, Claudio; Tenori, Leonardo; Hertog, Maarten; Nicolai, Bart; Stürz, Stefan; Zanella, Angelo; Tonutti, Pietro
A RISK SCORE BASED ON PREOPERATIVE SERUM METABOLOMIC PROFILES IDENTIFIES PATIENTS WITH EARLY BREAST CANCER AT INCREASED RISK OF RECURRENCE IN A MULTICENTER POPULATION: OUTCOMES BY ADJUVANT ONLINE STRATIFICATION
2016 Christopher, Hart D; Vignoli, Alessia; Tenori, Leonardo; Risi, Emanuela; Love, Richard R; Luchinat, Claudio
A serum metabolomic analysis of HCV-infected patients successfully treated with IFN-free DAA regimens
2016 Ceccotti, Giorgia; Meoni, Gaia; Tenori, Leonardo; Gragnani, Laura; Fognani, Elisa; Gianni, Elena; Luchinat, Claudio; Linda Zignego, Anna
A serum metabolomics classifier derived from elderly patients with metastatic colorectal cancer predicts relapse in the adjuvant setting
2021 Di Donato S.; Vignoli A.; Biagioni C.; Malorni L.; Mori E.; Tenori L.; Calamai V.; Parnofiello A.; Di Pierro G.; Migliaccio I.; Cantafio S.; Baraghini M.; Mottino G.; Becheri D.; Del Monte F.; Miceli E.; McCartney A.; Di Leo A.; Luchinat C.; Biganzoli L.
A Serum-Detectable Metabolomic Fingerprint Potentially Correlated with the Presence of Micrometastatic Disease in Early Breast Cancer Patients
2010 Oakman C.; Tenori L.; Cappadona S.; Nepi S.; Bernini P.; Saccenti E.; Biganzoli L.; Luchinat C.; Bertini I.; Di Leo A.
Abstract P6-02-07: Metabolomic analysis by nuclear magnetic resonance spectroscopy discriminates hormone receptor positive/HER2 negative breast cancer cell lines resistant to palbociclib
2017 Bonechi, M; Guarducci, C; Meoni, G; Tenori, L; Biagioni, C; Schiff, R; Osborne, Ck; Luchinat, C; Di Leo, A; Malorni, L; Migliaccio, I
Age and Sex Effects on Plasma Metabolite Association Networks in Healthy Subjects
2017 Vignoli, Alessia; Tenori, Leonardo; Luchinat, Claudio; Saccenti, Edoardo
Age- and Sex-Dependent Changes of Free Circulating Blood Metabolite and Lipid Abundances, Correlations, and Ratios
2021 Francesca Di Cesare, Claudio Luchinat, Leonardo Tenori, Edoardo Saccenti
Allostasis and Resilience of the Human Individual Metabolic Phenotype
2015 Ghini, Veronica; Saccenti, Edoardo; Tenori, Leonardo; Assfalg, Michael; Luchinat, Claudio
An omics approach to study trace metals in sera of hemodialysis patients treated with erythropoiesis stimulating agents
2022 Vignoli A.; Tenori L.; Luchinat C.
Analysis of Metabolite and Lipid Association Networks Reveals Molecular Mechanisms Associated with 3-Month Mortality and Poor Functional Outcomes in Patients with Acute Ischemic Stroke after Thrombolytic Treatment with Recombinant Tissue Plasminogen Activator
2021 Licari, Cristina; Tenori, Leonardo; Giusti, Betti; Sticchi, Elena; Kura, Ada; De Cario, Rosina; Inzitari, Domenico; Piccardi, Benedetta; Nesi, Mascia; Sarti, Cristina; Arba, Francesco; Palumbo, Vanessa; Nencini, Patrizia; Marcucci, Rossella; Gori, Anna Maria; Luchinat, Claudio; Saccenti, Edoardo
Analysis of salivary phenotypes of generalized aggressive and chronic periodontitis through nuclear magnetic resonance-based metabolomics
2018 Federica Romano * †‡ , Gaia Meoni , Valeria Manavella * , Giacomo Baima * , Leonardo Tenori †‡ , Stefano Cacciatore § * , Mario Aimetti
Analysis of the metabolomic profile of a healthy blood donor cohort and comparison with the heart failure metabolomic fingerprint.
2013 Biagioli, M.; Pantaleo, P.; Tenori, Leonardo; Luchinat, Claudio; Hu, X.; Lippi, C.; Biagini, F.; Gironi, C.; Alterini, B.; Gensini, G. F.
Applications and Challenges for Metabolomics via Nuclear Magnetic Resonance Spectroscopy
2022 Vignoli, Alessia; Meoni, Gaia; Tenori, Leonardo
Applications of 1H-NMR Metabolomics: From Individual Fingerprints to Food Analysis
2015 Luchinat, Claudio; Tenori, Leonardo
Are patients with potential celiac disease really potential? The answer of metabonomics
2011 P.Bernini; I.Bertini; A.Calabro'; G.La Marca; G.Lami; C.Luchinat; D.Renzi; L.Tenori
Association of Plasma Metabolites and Lipoproteins with Rh and ABO Blood Systems in Healthy Subjects
2022 Francesca Di Cesare, Leonardo Tenori, Claudio Luchinat, Edoardo Saccenti
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A framework for validating AI in precision medicine: considerations from the European ITFoC consortium | 2021 | Tsopra R.; Fernandez X.; Luchinat C.; Alberghina L.; Lehrach H.; Vanoni M.; Dreher F.; Sezerman O.U.; Cuggia M.; de Tayrac M.; Miklasevics E.; Itu L.M.; Geanta M.; Ogilvie L.; Godey F.; Boldisor C.N.; Campillo-Gimenez B.; Cioroboiu C.; Ciusdel C.F.; Coman S.; Hijano Cubelos O.; Itu A.; Lange B.; Le Gallo M.; Lespagnol A.; Mauri G.; Soykam H.O.; Rance B.; Turano P.; Tenori L.; Vignoli A.; Wierling C.; Benhabiles N.; Burgun A. | |
| A geroscience approach for Parkinson's disease: Conceptual framework and design of PROPAG-AGEING project | 2021 | Pirazzini C.; Azevedo T.; Baldelli L.; Bartoletti-Stella A.; Calandra-Buonaura G.; Dal Molin A.; Dimitri G.M.; Doykov I.; Gomez-Garre P.; Hagg S.; Hallqvist J.; Halsband C.; Heywood W.; Jesus S.; Jylhava J.; Kwiatkowska K.M.; Labrador-Espinosa M.A.; Licari C.; Maturo M.G.; Mengozzi G.; Meoni G.; Milazzo M.; Perinan-Tocino M.T.; Ravaioli F.; Sala C.; Sambati L.; Schade S.; Schreglmann S.; Spasov S.; Tenori L.; Williams D.; Xumerle L.; Zago E.; Bhatia K.P.; Capellari S.; Cortelli P.; Garagnani P.; Houlden H.; Lio P.; Luchinat C.; Delledonne M.; Mills K.; Mir P.; Mollenhauer B.; Nardini C.; Pedersen N.L.; Provini F.; Strom S.; Trenkwalder C.; Turano P.; Bacalini M.G.; Franceschi C.; Adarmes-Gomez A.; Bonilla-Toribio M.; Boninsegna C.; Broli M.; Buiza-Rueda D.; Carrion-Claro M.; Cilea R.; Clayton R.; Molin A.D.; De Luca S.; De Massis P.; Escuela-Martin R.; Fabbri G.; Gabellini A.; Giuliani C.; Guaraldi P.; Huertas I.; Macias D.; Macri S.; Magrinelli F.; Rodriguez J.F.M.; Mignani F.; Nassetti S.A.; Scaglione C.L.M.; Tejera-Parrado C.; Valzania F.; Ortega R.V. | |
| A metabolomic perspective on coeliac disease. | 2014 | A. Calabrò;E. Gralka;C. Luchinat;E. Saccenti;L. Tenori | |
| A metabolomics approach to elucidate apple fruit responses to static and dynamic controlled atmosphere storage | 2017 | Brizzolara, Stefano; Santucci, Claudio; Tenori, Leonardo; Hertog, Maarten; Nicolai, Bart; Stürz, Stefan; Zanella, Angelo; Tonutti, Pietro | |
| A RISK SCORE BASED ON PREOPERATIVE SERUM METABOLOMIC PROFILES IDENTIFIES PATIENTS WITH EARLY BREAST CANCER AT INCREASED RISK OF RECURRENCE IN A MULTICENTER POPULATION: OUTCOMES BY ADJUVANT ONLINE STRATIFICATION | 2016 | Christopher, Hart D; Vignoli, Alessia; Tenori, Leonardo; Risi, Emanuela; Love, Richard R; Luchinat, Claudio | |
| A serum metabolomic analysis of HCV-infected patients successfully treated with IFN-free DAA regimens | 2016 | Ceccotti, Giorgia; Meoni, Gaia; Tenori, Leonardo; Gragnani, Laura; Fognani, Elisa; Gianni, Elena; Luchinat, Claudio; Linda Zignego, Anna | |
| A serum metabolomics classifier derived from elderly patients with metastatic colorectal cancer predicts relapse in the adjuvant setting | 2021 | Di Donato S.; Vignoli A.; Biagioni C.; Malorni L.; Mori E.; Tenori L.; Calamai V.; Parnofiello A.; Di Pierro G.; Migliaccio I.; Cantafio S.; Baraghini M.; Mottino G.; Becheri D.; Del Monte F.; Miceli E.; McCartney A.; Di Leo A.; Luchinat C.; Biganzoli L. | |
| A Serum-Detectable Metabolomic Fingerprint Potentially Correlated with the Presence of Micrometastatic Disease in Early Breast Cancer Patients | 2010 | Oakman C.; Tenori L.; Cappadona S.; Nepi S.; Bernini P.; Saccenti E.; Biganzoli L.; Luchinat C.; Bertini I.; Di Leo A. | |
| Abstract P6-02-07: Metabolomic analysis by nuclear magnetic resonance spectroscopy discriminates hormone receptor positive/HER2 negative breast cancer cell lines resistant to palbociclib | 2017 | Bonechi, M; Guarducci, C; Meoni, G; Tenori, L; Biagioni, C; Schiff, R; Osborne, Ck; Luchinat, C; Di Leo, A; Malorni, L; Migliaccio, I | |
| Age and Sex Effects on Plasma Metabolite Association Networks in Healthy Subjects | 2017 | Vignoli, Alessia; Tenori, Leonardo; Luchinat, Claudio; Saccenti, Edoardo | |
| Age- and Sex-Dependent Changes of Free Circulating Blood Metabolite and Lipid Abundances, Correlations, and Ratios | 2021 | Francesca Di Cesare, Claudio Luchinat, Leonardo Tenori, Edoardo Saccenti | |
| Allostasis and Resilience of the Human Individual Metabolic Phenotype | 2015 | Ghini, Veronica; Saccenti, Edoardo; Tenori, Leonardo; Assfalg, Michael; Luchinat, Claudio | |
| An omics approach to study trace metals in sera of hemodialysis patients treated with erythropoiesis stimulating agents | 2022 | Vignoli A.; Tenori L.; Luchinat C. | |
| Analysis of Metabolite and Lipid Association Networks Reveals Molecular Mechanisms Associated with 3-Month Mortality and Poor Functional Outcomes in Patients with Acute Ischemic Stroke after Thrombolytic Treatment with Recombinant Tissue Plasminogen Activator | 2021 | Licari, Cristina; Tenori, Leonardo; Giusti, Betti; Sticchi, Elena; Kura, Ada; De Cario, Rosina; Inzitari, Domenico; Piccardi, Benedetta; Nesi, Mascia; Sarti, Cristina; Arba, Francesco; Palumbo, Vanessa; Nencini, Patrizia; Marcucci, Rossella; Gori, Anna Maria; Luchinat, Claudio; Saccenti, Edoardo | |
| Analysis of salivary phenotypes of generalized aggressive and chronic periodontitis through nuclear magnetic resonance-based metabolomics | 2018 | Federica Romano * †‡ , Gaia Meoni , Valeria Manavella * , Giacomo Baima * , Leonardo Tenori †‡ , Stefano Cacciatore § * , Mario Aimetti | |
| Analysis of the metabolomic profile of a healthy blood donor cohort and comparison with the heart failure metabolomic fingerprint. | 2013 | Biagioli, M.; Pantaleo, P.; Tenori, Leonardo; Luchinat, Claudio; Hu, X.; Lippi, C.; Biagini, F.; Gironi, C.; Alterini, B.; Gensini, G. F. | |
| Applications and Challenges for Metabolomics via Nuclear Magnetic Resonance Spectroscopy | 2022 | Vignoli, Alessia; Meoni, Gaia; Tenori, Leonardo | |
| Applications of 1H-NMR Metabolomics: From Individual Fingerprints to Food Analysis | 2015 | Luchinat, Claudio; Tenori, Leonardo | |
| Are patients with potential celiac disease really potential? The answer of metabonomics | 2011 | P.Bernini; I.Bertini; A.Calabro'; G.La Marca; G.Lami; C.Luchinat; D.Renzi; L.Tenori | |
| Association of Plasma Metabolites and Lipoproteins with Rh and ABO Blood Systems in Healthy Subjects | 2022 | Francesca Di Cesare, Leonardo Tenori, Claudio Luchinat, Edoardo Saccenti |