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Daniele Malpetti

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

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Physical Review Letters|January 18, 2018
Auxiliary-Field Monte Carlo Method to Tackle Strong Interactions and Frustration in Lattice BosonsDaniele Malpetti, Tommaso Roscilde
Physical Review Letters|October 8, 2016
Quantum Correlations, Separability, and Quantum Coherence Length in Equilibrium Many-Body SystemsDaniele Malpetti, Tommaso Roscilde
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.
European Journal of Anaesthesiology|March 6, 2026
HEAVEN criteria to predict difficult in-hospital rapid sequence intubation: a prospective single-centre observational studyAlexander Fuchs, Charlotte Backhauss, Lea Franzmeier, 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.
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.
JCI Insight|August 23, 2022
Impaired fatty acid metabolism perpetuates lipotoxicity along the transition to chronic kidney injuryAnna Rinaldi, Hélène Lazareth, Virginie Poindessous, et al.
Journal of the American Society of Nephrology : JASN|April 23, 2024
Spatiotemporal Landscape of Kidney Tubular Responses to Glomerular ProteinuriaAnna Faivre, Milica Bugarski, Anna Rinaldi, 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 1

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

Sort By:
Pageof 1
Physical Review Letters|January 18, 2018
Auxiliary-Field Monte Carlo Method to Tackle Strong Interactions and Frustration in Lattice BosonsDaniele Malpetti, Tommaso Roscilde
Physical Review Letters|October 8, 2016
Quantum Correlations, Separability, and Quantum Coherence Length in Equilibrium Many-Body SystemsDaniele Malpetti, Tommaso Roscilde
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.
European Journal of Anaesthesiology|March 6, 2026
HEAVEN criteria to predict difficult in-hospital rapid sequence intubation: a prospective single-centre observational studyAlexander Fuchs, Charlotte Backhauss, Lea Franzmeier, 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.
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.
JCI Insight|August 23, 2022
Impaired fatty acid metabolism perpetuates lipotoxicity along the transition to chronic kidney injuryAnna Rinaldi, Hélène Lazareth, Virginie Poindessous, et al.
Journal of the American Society of Nephrology : JASN|April 23, 2024
Spatiotemporal Landscape of Kidney Tubular Responses to Glomerular ProteinuriaAnna Faivre, Milica Bugarski, Anna Rinaldi, 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 1