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Francesca Mangili

Showing results (1-10 of 13) with videos related to

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Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|November 6, 2025
Microvascular Health as a Key Determinant of Organismal AgingMattia Cenciarini, Andrea Uccelli, Francesca Mangili, et al.
Biometrical Journal. Biometrische Zeitschrift|August 23, 2015
Reliable survival analysis based on the Dirichlet processFrancesca Mangili, Alessio Benavoli, Cassio P de Campos, et al.
Scientific Reports|September 24, 2022
The effects of microclimatic winter conditions in urban areas on the risk of establishment for Aedes albopictusDamiana Ravasi, Francesca Mangili, David Huber, et al.
Pain Practice : the Official Journal of World Institute of Pain|May 4, 2017
Profiling the Location and Extent of Musicians' Pain Using Digital Pain DrawingsCinzia Cruder, Deborah Falla, Francesca Mangili, et al.
STAR Protocols|March 5, 2025
Protocol for interpretable and context-specific single-cell-informed deconvolution of bulk RNA-seq dataDaniele Malpetti, Francesca Mangili, Marco Bolis, et al.
Psychiatry Research|May 24, 2024
A machine learning model to predict the risk of perinatal depression: Psychosocial and sleep-related factors in the Life-ON study cohortCorrado Garbazza, Francesca Mangili, Tatiana Adele D'Onofrio, et al.
International Journal of Environmental Research and Public Health|March 25, 2022
Risk-Based Mapping Tools for Surveillance and Control of the Invasive Mosquito <i>Aedes albopictus</i> in SwitzerlandDamiana Ravasi, Francesca Mangili, David Huber, et al.
Psychiatry Research|December 29, 2023
Optimal risk and diagnosis assessment strategies in perinatal depression: A machine learning approach from the life-ON study cohortArmando D'Agostino, Corrado Garbazza, Daniele Malpetti, et al.
Frontiers in Digital Health|December 4, 2025
Technical and legal aspects of federated learning in bioinformatics: applications, challenges and opportunitiesDaniele Malpetti, Marco Scutari, Francesco Gualdi, et al.
Iscience|March 15, 2024
A transfer learning framework to elucidate the clinical relevance of altered proximal tubule cell states in kidney diseaseDavid Legouis, Anna Rinaldi, Daniele Malpetti, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|November 6, 2025
Microvascular Health as a Key Determinant of Organismal AgingMattia Cenciarini, Andrea Uccelli, Francesca Mangili, et al.
Biometrical Journal. Biometrische Zeitschrift|August 23, 2015
Reliable survival analysis based on the Dirichlet processFrancesca Mangili, Alessio Benavoli, Cassio P de Campos, et al.
Scientific Reports|September 24, 2022
The effects of microclimatic winter conditions in urban areas on the risk of establishment for Aedes albopictusDamiana Ravasi, Francesca Mangili, David Huber, et al.
Pain Practice : the Official Journal of World Institute of Pain|May 4, 2017
Profiling the Location and Extent of Musicians' Pain Using Digital Pain DrawingsCinzia Cruder, Deborah Falla, Francesca Mangili, et al.
STAR Protocols|March 5, 2025
Protocol for interpretable and context-specific single-cell-informed deconvolution of bulk RNA-seq dataDaniele Malpetti, Francesca Mangili, Marco Bolis, et al.
Psychiatry Research|May 24, 2024
A machine learning model to predict the risk of perinatal depression: Psychosocial and sleep-related factors in the Life-ON study cohortCorrado Garbazza, Francesca Mangili, Tatiana Adele D'Onofrio, et al.
International Journal of Environmental Research and Public Health|March 25, 2022
Risk-Based Mapping Tools for Surveillance and Control of the Invasive Mosquito <i>Aedes albopictus</i> in SwitzerlandDamiana Ravasi, Francesca Mangili, David Huber, et al.
Psychiatry Research|December 29, 2023
Optimal risk and diagnosis assessment strategies in perinatal depression: A machine learning approach from the life-ON study cohortArmando D'Agostino, Corrado Garbazza, Daniele Malpetti, et al.
Frontiers in Digital Health|December 4, 2025
Technical and legal aspects of federated learning in bioinformatics: applications, challenges and opportunitiesDaniele Malpetti, Marco Scutari, Francesco Gualdi, et al.
Iscience|March 15, 2024
A transfer learning framework to elucidate the clinical relevance of altered proximal tubule cell states in kidney diseaseDavid Legouis, Anna Rinaldi, Daniele Malpetti, et al.
Pageof 2