Daniele Pala

According to our database, Daniele Pala authored at least 19 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities.

Daniele Pala, Giorgia Petrini, Pietro Bosoni, Cristiana Larizza, Silvana Quaglini, Giordano Lanzola

Int. J. Medical Informatics, 2024

Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories.

Pietro Bosoni, Mahin Vazifehdan, Daniele Pala, Eleonora Tavazzi, Roberto Bergamaschi, Riccardo Bellazzi, Arianna Dagliati

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.

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

Artif. Intell. Medicine, August, 2023

Unbinding Kinetics of Muscarinic M3 Receptor Antagonists Explained by Metadynamics Simulations.

Francesca Galvani, Daniele Pala, Alberto Cuzzolin, Laura Scalvini, Alessio Lodola, Marco Mor, Andrea Rizzi

J. Chem. Inf. Model., May, 2023

Causal Effects of Environmental Exposures and Biological Traits on the Difference between Phenotypic and Chronological Ages.

Daniele Pala, Yuezhi Xie, Jia Xu, Yuqin Zhang, Li Shen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

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.

Vladimir Urosevic, Arianna Dagliati, Manuel Ottaviano, Nikola Vojicic, Cristiana Larizza, Daniele Pala

Proceedings of the 12th IEEE International Conference on Consumer Electronics, 2022

Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease.

Daniele Pala, Brian Lee, Xia Ning, Dokyoon Kim, Li Shen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

The PERISCOPE Data Atlas: A Demonstration of Release v1.2.

Enea Parimbelli, Cristiana Larizza, Vladimir Urosevic, Andrea Pogliaghi, Manuel Ottaviano, Cindy Cheng, Vincent Benoit, Daniele Pala, Vittorio Casella, Riccardo Bellazzi, Paolo Giudici

Proceedings of the Artificial Intelligence in Medicine, 2022

2020

Deep Learning to Unveil Correlations between Urban Landscape and Population Health.

Daniele Pala, Alessandro Aldo Caldarone, Marica Franzini, Alberto Malovini, Cristiana Larizza, Vittorio Casella, Riccardo Bellazzi

Sensors, 2020

The PULSE Project: A Case of Use of Big Data Uses Toward a Cohomprensive Health Vision of City Well Being.

Domenico Vito, Manuel Ottaviano, Riccardo Bellazzi, Cristiana Larizza, Vittorio Casella, Daniele Pala, Marica Franzini

Proceedings of the Impact of Digital Technologies on Public Health in Developed and Developing Countries, 2020

2019

Transfer Learning for Urban Landscape Clustering and Correlation with Health Indexes.

Riccardo Bellazzi, Alessandro Aldo Caldarone, Daniele Pala, Marica Franzini, Alberto Malovini, Cristiana Larizza, Vittorio Casella

Proceedings of the How AI Impacts Urban Living and Public Health, 2019

Advantages and Difficulties of using Spatial Enablement to Support Public Health in Cities: The PULSE Case Study.

Daniele Pala, Marica Teresa Rocca, Vittorio Casella

Proceedings of the 5th International Conference on Geographical Information Systems Theory, 2019

Agent-Based Models and Spatial Enablement: A Simulation Tool to Improve Health and Wellbeing in Big Cities.

Daniele Pala, John H. Holmes, José Pagán, Enea Parimbelli, Marica Teresa Rocca, Vittorio Casella, Riccardo Bellazzi

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

Integrating Environmental Data, Citizen Science and Personalized Predictive Modeling to Support Public Health in Cities: The PULSE WebGIS.

Enea Parimbelli, Daniele Pala, Riccardo Bellazzi, Cecilia Vera-Mñnoz, Vittorio Casella

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Correction to Metadynamics Simulations Distinguish Short- and Long-Residence-Time Inhibitors of Cyclin-Dependent Kinase 8.

Donatella Callegari, Alessio Lodola, Daniele Pala, Silvia Rivara, Marco Mor, Andrea Rizzi, Anna Maria Capelli

J. Chem. Inf. Model., 2017

Metadynamics Simulations Distinguish Short- and Long-Residence-Time Inhibitors of Cyclin-Dependent Kinase 8.

Donatella Callegari, Alessio Lodola, Daniele Pala, Silvia Rivara, Marco Mor, Andrea Rizzi, Anna Maria Capelli

J. Chem. Inf. Model., 2017

2014

Combining Ligand- and Structure-Based Approaches for the Discovery of New Inhibitors of the EPHA2-ephrin-A1 Interaction.

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

J. Chem. Inf. Model., 2014

2013

Structure-Based Virtual Screening of MT₂ Melatonin Receptor: Influence of Template Choice and Structural Refinement.

Daniele Pala, Thijs Beuming, Woody Sherman, Alessio Lodola, Silvia Rivara, Marco Mor

J. Chem. Inf. Model., 2013

2009

Stochastic Model Predictive Control of constrained linear systems with additive uncertainty.

Lalo Magni, Daniele Pala, Riccardo Scattolini

Proceedings of the 10th European Control Conference, 2009