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ORCIDDaniele Pala
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2020 – today
- 2025
[j9]Daniele Pala, Yuezhi Xie, Jia Xu, Li Shen:
Modeling the impact of socioeconomic disparity, biological markers and environmental exposures on phenotypic age using mediation analysis and structural equation models. Int. J. Medical Informatics 193: 105661 (2025)- 2024
- [j8]Daniele Pala
, Giorgia Petrini, Pietro Bosoni, Cristiana Larizza, Silvana Quaglini, Giordano Lanzola:
Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. Int. J. Medical Informatics 184: 105351 (2024) - [c11]Pietro Bosoni, Mahin Vazifehdan, Daniele Pala, Eleonora Tavazzi, Roberto Bergamaschi, Riccardo Bellazzi, Arianna Dagliati:
Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories. CLEF (Working Notes) 2024: 1341-1352 - 2023
- [j7]Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo:
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artif. Intell. Medicine 142: 102588 (2023) - [j6]Francesca Galvani, Daniele Pala, Alberto Cuzzolin, Laura Scalvini, Alessio Lodola, Marco Mor, Andrea Rizzi:
Unbinding Kinetics of Muscarinic M3 Receptor Antagonists Explained by Metadynamics Simulations. J. Chem. Inf. Model. 63(9): 2842-2856 (2023) - [c10]Daniele Pala, Yuezhi Xie, Jia Xu, Yuqin Zhang, Li Shen:
Causal Effects of Environmental Exposures and Biological Traits on the Difference between Phenotypic and Chronological Ages. BIBM 2023: 4382-4388 - 2022
- [c9]Enea Parimbelli, Cristiana Larizza, Vladimir Urosevic, Andrea Pogliaghi, Manuel Ottaviano, Cindy Cheng, Vincent Benoit, Daniele Pala, Vittorio Casella, Riccardo Bellazzi, Paolo Giudici:
The PERISCOPE Data Atlas: A Demonstration of Release v1.2. AIME 2022: 412-415 - [c8]Daniele Pala, Brian Lee, Xia Ning, Dokyoon Kim, Li Shen:
Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease. BIBM 2022: 2667-2673 - [c7]Vladimir Urosevic, Arianna Dagliati, Manuel Ottaviano, Nikola Vojicic, Cristiana Larizza, Daniele Pala:
Design and Optimization of REST Services for Performance and Scalability in Provision of Big Environmental Data to Exploratory Analytics of their Effects on Progression of ALS and MS. ICCE-Berlin 2022: 1-6 - 2020
- [j5]Daniele Pala, Alessandro Aldo Caldarone, Marica Franzini, Alberto Malovini, Cristiana Larizza, Vittorio Casella, Riccardo Bellazzi:
Deep Learning to Unveil Correlations between Urban Landscape and Population Health. Sensors 20(7): 2105 (2020) - [c6]Domenico Vito, Manuel Ottaviano, Riccardo Bellazzi, Cristiana Larizza, Vittorio Casella, Daniele Pala, Marica Franzini:
The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being. ICOST 2020: 423-431
2010 – 2019
- 2019
- [c5]Daniele Pala, John H. Holmes, José Pagán, Enea Parimbelli, Marica Teresa Rocca, Vittorio Casella, Riccardo Bellazzi:
Agent-Based Models and Spatial Enablement: A Simulation Tool to Improve Health and Wellbeing in Big Cities. AIME 2019: 79-83 - [c4]Daniele Pala, Marica Teresa Rocca, Vittorio Casella:
Advantages and Difficulties of using Spatial Enablement to Support Public Health in Cities: The PULSE Case Study. GISTAM 2019: 322-329 - [c3]Riccardo Bellazzi, Alessandro Aldo Caldarone, Daniele Pala, Marica Franzini, Alberto Malovini, Cristiana Larizza, Vittorio Casella:
Transfer Learning for Urban Landscape Clustering and Correlation with Health Indexes. ICOST 2019: 143-153 - 2018
- [c2]Enea Parimbelli, Daniele Pala, Riccardo Bellazzi, Cecilia Vera-Mñnoz, Vittorio Casella:
Integrating Environmental Data, Citizen Science and Personalized Predictive Modeling to Support Public Health in Cities: The PULSE WebGIS. AAAI Workshops 2018: 495-498 - 2017
- [j4]Donatella Callegari, Alessio Lodola, Daniele Pala, Silvia Rivara, Marco Mor, Andrea Rizzi, Anna Maria Capelli:
Metadynamics Simulations Distinguish Short- and Long-Residence-Time Inhibitors of Cyclin-Dependent Kinase 8. J. Chem. Inf. Model. 57(2): 159-169 (2017) - [j3]Donatella Callegari, Alessio Lodola, Daniele Pala, Silvia Rivara, Marco Mor, Andrea Rizzi, Anna Maria Capelli:
Correction to Metadynamics Simulations Distinguish Short- and Long-Residence-Time Inhibitors of Cyclin-Dependent Kinase 8. J. Chem. Inf. Model. 57(2): 386 (2017) - 2014
- [j2]Daniele Pala, Riccardo Castelli, Matteo Incerti, Simonetta Russo, Massimiliano Tognolini, Carmine Giorgio, Iftiin Hassan-Mohamed, Ilaria Zanotti, Federica Vacondio, Silvia Rivara, Marco Mor, Alessio Lodola:
Combining Ligand- and Structure-Based Approaches for the Discovery of New Inhibitors of the EPHA2-ephrin-A1 Interaction. J. Chem. Inf. Model. 54(10): 2621-2626 (2014) - 2013
- [j1]Daniele Pala, Thijs Beuming, Woody Sherman, Alessio Lodola, Silvia Rivara, Marco Mor:
Structure-Based Virtual Screening of MT2 Melatonin Receptor: Influence of Template Choice and Structural Refinement. J. Chem. Inf. Model. 53(4): 821-835 (2013)
2000 – 2009
- 2009
- [c1]Lalo Magni, Daniele Pala, Riccardo Scattolini:
Stochastic Model Predictive Control of constrained linear systems with additive uncertainty. ECC 2009: 2235-2240
Coauthor Index
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