Survival Model Optimization via Federated Learning: A Study Combining Simulations and Experiments

Authors: Casadei, Francesco, Carota, Luciana, Asti, Gianluca, D'Amico, Saverio, Piscia, Davide, Zazo, Santiago, Apellaniz, Patricia A., Parras, Juan, Sala, Claudia, Rollo, Cesare, Merleau, Nono S. C., Fariselli, Piero, Della Porta, Matteo, Sanavia, Tiziana, Garcia, Federico Alvarez, Castellani, Gastone, Giampieri, Enrico

Source: 2024 IEEE International Conference on Big Data (BigData) Big Data (BigData), 2024 IEEE International Conference on. :7658-7667 Dec, 2024

Relation: 2024 IEEE International Conference on Big Data (BigData)

SurvHive: a package to consistently access multiple survival-analysis packages

Authors: Birolo, Giovanni, Rossi, Ivan, Sartori, Flavio, Rollo, Cesare, Sanavia, Tiziana, Fariselli, Piero

Subject Terms: Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2502.02223

How good Neural Networks interpretation methods really are? A quantitative benchmark

Authors: Passemiers, Antoine, Folco, Pietro, Raimondi, Daniele, Birolo, Giovanni, Moreau, Yves, Fariselli, Piero

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2304.02383

VAE-Surv: A novel approach for genetic-based clustering and prognosis prediction in myelodysplastic syndromes

Authors: Rollo, Cesare ^a, Pancotti, Corrado ^{a, 1}, Sartori, Flavio ^a, Caranzano, Isabella ^a, D’Amico, Saverio ^{b, c}, Carota, Luciana ^d, Casadei, Francesco ^e, Birolo, Giovanni ^a, Lanino, Luca ^b, Sauta, Elisabetta ^b, Asti, Gianluca ^b, Buizza, Alessandro ^b, Delleani, Mattia ^{b, c}, Zazzetti, Elena ^b, Bicchieri, Marilena ^b, Maggioni, Giulia ^b, Fenaux, Pierre ^f, Platzbecker, Uwe ^g, Diez-Campelo, Maria ^h, Haferlach, Torsten ⁱ, Castellani, Gastone ^{d, j}, Della Porta, Matteo Giovanni ^{b, k}, Fariselli, Piero ^{a, ⁎}, Sanavia, Tiziana ^a

Source: In Computer Methods and Programs in Biomedicine April 2025 261

IDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge
45th European conference on information retrieval, ECIR 2023

Authors: Aidos, Helena, Bergamaschi, Roberto, Cavalla, Paola, Chiò, Adriano, Dagliati, Arianna, Di Camillo, Barbara, de Carvalho, Mamede Alves, Ferro, Nicola, Fariselli, Piero, Dominguez, Jose Manuel García

Source: Lecture notes in computer science. 13982:491-498

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN608116423&indx=1&recIds=ETOCCN608116423

Parallel intersection counting on shared-memory multiprocessors and GPUs

Authors: Marzolla, Moreno, Birolo, Giovanni, D’Angelo, Gabriele, Fariselli, Piero

Source: In Future Generation Computer Systems October 2024 159:423-431

Improving the prediction of cardiovascular risk with machine-learning and DNA methylation data

Authors: Cugliari, Giovanni, Benevenuta, Silvia, Guarrera, Simonetta, Sacerdote, Carlotta, Panico, Salvatore, Krogh, Vittorio, Tumino, Rosario, Vineis, Paolo, Fariselli, Piero, Matullo, Giuseppe

Source: 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2019 IEEE Conference on. :1-4 Jul, 2019

Relation: 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Impact of statin adherence and interruption within 6 months after ST-segment elevation myocardial infarction (STEMI): Results from the real-world regional registry FAST-STEMI

Authors: Giacobbe, Federico, Giannino, Giuseppe, Annone, Umberto, Morena, Arianna, Di Vita, Umberto, Carmagnola, Ludovica, Nebiolo, Marco, Rollo, Cesare, Ravetti, Emanuele, Troncone, Mattia, Pancotti, Corrado, De Filippo, Ovidio, Bruno, Francesco, Angelini, Filippo, Gaido, Luca, Fariselli, Piero, D'Ascenzo, Fabrizio, Giammaria, Massimo, De Ferrari, Gaetano Maria

Source: In International Journal of Cardiology 15 June 2024 405

SYNDSURV: A simple framework for survival analysis with data distributed across multiple institutions

Authors: Rollo, Cesare, Pancotti, Corrado, Birolo, Giovanni, Rossi, Ivan, Sanavia, Tiziana, Fariselli, Piero

Source: In Computers in Biology and Medicine April 2024 172

Impact of PNPLA3 rs738409 Polymorphism on the Development of Liver-Related Events in Patients With Nonalcoholic Fatty Liver Disease

Authors: Rosso, Chiara, Caviglia, Gian Paolo, Birolo, Giovanni, Armandi, Angelo, Pennisi, Grazia, Pelusi, Serena, Younes, Ramy, Liguori, Antonio, Perez-Diaz-del-Campo, Nuria, Nicolosi, Aurora, Govaere, Olivier, Castelnuovo, Gabriele, Olivero, Antonella, Abate, Maria Lorena, Ribaldone, Davide Giuseppe, Fariselli, Piero, Valenti, Luca, Miele, Luca, Petta, Salvatore, Romero-Gomez, Manuel, Anstee, Quentin M., Bugianesi, Elisabetta

Source: In Clinical Gastroenterology and Hepatology December 2023 21(13):3314-3321

K-Pro: Kinetics Data on Proteins and Mutants

Authors: Turina, Paola, Fariselli, Piero, Capriotti, Emidio

Source: In Journal of Molecular Biology 15 October 2023 435(20)

DNA energy constraints shape biological evolutionary trajectories

Authors: Fariselli, Piero, Taccioli, Cristian, Pagani, Luca, Maritan, Amos

Subject Terms: Quantitative Biology - Biomolecules, Quantitative Biology - Genomics

Access URL: http://arxiv.org/abs/1905.00621

Machine Learning for Predicting Clinician Evaluation of Treatment Plans for Left-Sided Whole Breast Radiation Therapy

Authors: Fiandra, Christian, Cattani, Federica, Leonardi, Maria Cristina, Comi, Stefania, Zara, Stefania, Rossi, Linda, Jereczek-Fossa, Barbara Alicja, Fariselli, Piero, Ricardi, Umberto, Heijmen, Ben

Source: In Advances in Radiation Oncology September-October 2023 8(5)

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

Authors: Tavazzi, Erica, Longato, Enrico, Vettoretti, Martina, Aidos, Helena, Trescato, Isotta, Roversi, Chiara, Martins, Andreia S., Castanho, Eduardo N., Branco, Ruben, Soares, Diogo F., Guazzo, Alessandro, Birolo, Giovanni, Pala, Daniele, Bosoni, Pietro, Chiò, Adriano, Manera, Umberto, de Carvalho, Mamede, Miranda, Bruno, Gromicho, Marta, Alves, Inês, Bellazzi, Riccardo, Dagliati, Arianna, Fariselli, Piero, Madeira, Sara C., Di Camillo, Barbara

Source: In Artificial Intelligence In Medicine August 2023 142

Modelling socioeconomic position as a driver of the exposome in the first 18 months of life of the NINFEA birth cohort children

Authors: Moccia, Chiara, Pizzi, Costanza, Moirano, Giovenale, Popovic, Maja, Zugna, Daniela, d'Errico, Antonio, Isaevska, Elena, Fossati, Serena, Nieuwenhuijsen, Mark J., Fariselli, Piero, Sanavia, Tiziana, Richiardi, Lorenzo, Maule, Milena

Source: In Environment International March 2023 173

A natural upper bound to the accuracy of predicting protein stability changes upon mutations

Authors: Montanucci, Ludovica, Martelli, Pier Luigi, Ben-Tal, Nir, Fariselli, Piero

Subject Terms: Quantitative Biology - Biomolecules

Access URL: http://arxiv.org/abs/1809.10389

Development of a REDCap-based workflow for high-volume relational data analysis on real-time data in a medical department using open source software

Authors: Rovera, Guido, Fariselli, Piero, Deandreis, Désirée

Source: In Computer Methods and Programs in Biomedicine November 2022 226

Turning Failures into Applications: The Problem of Protein ΔΔG Prediction

Authors: Casadio, Rita, Savojardo, Castrense, Fariselli, Piero, Capriotti, Emidio, Martelli, Pier Luigi

Source: Methods in molecular biology. 2449:169-186

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCRN629323234&indx=1&recIds=ETOCRN629323234

Thermodynamic perspectives into DNA stability and information encoding in the human genome.

Authors: Fariselli, Piero¹ (AUTHOR) piero.fariselli@unito.it, Maritan, Amos² (AUTHOR)

Source: Communications Physics. 3/17/2025, Vol. 8 Issue 1, p1-12. 12p.

The specification game: rethinking the evaluation of drug response prediction for precision oncology.

Authors: Codicè, Francesco, Pancotti, Corrado, Rollo, Cesare, Moreau, Yves, Fariselli, Piero, Raimondi, Daniele

Source: Journal of Cheminformatics; 3/14/2025, Vol. 17 Issue 1, p1-16, 16p