Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview

by Dagliati, Arianna, Malovini, Alberto, Tibollo, Valentina, Bellazzi, Riccardo
Published in Briefings in Bioinformatics

Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools

by Nicora, Giovanna, Vitali, Francesca, Dagliati, Arianna, Geifman, Nophar, Bellazzi, Riccardo
Published in Frontiers in oncology

A machine learning approach based on ACMG/AMP guidelines for genomic variant classification and prioritization

by Nicora, Giovanna, Zucca, Susanna, Limongelli, Ivan, Bellazzi, Riccardo, Magni, Paolo
Published in Scientific reports

Machine Learning Methods to Predict Diabetes Complications

by Dagliati, Arianna, Marini, Simone, Sacchi, Lucia, Cogni, Giulia, Teliti, Marsida, Tibollo, Valentina, De Cata, Pasquale, Chiovato, Luca, Bellazzi, Riccardo
Published in Journal of diabetes science and technology

The MOGE(S) Classification of Cardiomyopathy for Clinicians

by Arbustini, Eloisa, MD, Narula, Navneet, MD, Tavazzi, Luigi, MD, PhD, Serio, Alessandra, MD, PhD, Grasso, Maurizia, BD, PhD, Favalli, Valentina, PhD, Bellazzi, Riccardo, ME, PhD, Tajik, Jamil A., MD, Bonow, Robert O., MD, Fuster, Valentin, MD, PhD, Narula, Jagat, MD, PhD
Published in Journal of the American College of Cardiology

Autologous micrograft accelerates endogenous wound healing response through ERK-induced cell migration

by Balli, Martina, Vitali, Francesca, Janiszewski, Adrian, Caluwé, Ellen, Cortés-Calabuig, Alvaro, Carpentier, Sebastien, Duelen, Robin, Ronzoni, Flavio, Marcelis, Lukas, Bosisio, Francesca Maria, Bellazzi, Riccardo, Luttun, Aernout, De Angelis, Maria G Cusella, Ceccarelli, Gabriele, Lluis, Frederic, Sampaolesi, Maurilio
Published in Cell death and differentiation

The MOGE(S) Classification for a Phenotype–Genotype Nomenclature of Cardiomyopathy

by Arbustini, Eloisa, MD, Narula, Navneet, MD, Dec, G. William, MD, Reddy, K. Srinath, MD, DM, MSc, Greenberg, Barry, MD, Kushwaha, Sudhir, MD, Marwick, Thomas, MD, Pinney, Sean, MD, Bellazzi, Riccardo, BE, PhD, Favalli, Valentina, BE, PhD, Kramer, Christopher, MD, Roberts, Robert, MD, Zoghbi, William A., MD, Bonow, Robert, MD, Tavazzi, Luigi, MD, PhD, Fuster, Valentin, MD, PhD, Narula, Jagat, MD, PhD
Published in Journal of the American College of Cardiology

A Network-Based Data Integration Approach to Support Drug Repurposing and Multi-Target Therapies in Triple Negative Breast Cancer

by Vitali, Francesca, Cohen, Laurie D, Demartini, Andrea, Amato, Angela, Eterno, Vincenzo, Zambelli, Alberto, Bellazzi, Riccardo
Published in PloS one

The DNA-helicase HELLS drives ALK - ALCL proliferation by the transcriptional control of a cytokinesis-related program

by Tameni, Annalisa, Sauta, Elisabetta, Mularoni, Valentina, Torricelli, Federica, Manzotti, Gloria, Inghirami, Giorgio, Bellazzi, Riccardo, Fragliasso, Valentina, Ciarrocchi, Alessia
Published in Cell death & disease

The coming of age of artificial intelligence in medicine

by Patel, Vimla L, Shortliffe, Edward H, Stefanelli, Mario, Szolovits, Peter, Berthold, Michael R, Bellazzi, Riccardo, Abu-Hanna, Ameen
Published in Artificial intelligence in medicine

A comparative analysis of the effects of containment policies on the epidemiological manifestation of the COVID-19 pandemic across nine European countries

by Podrecca, Chiara, Parimbelli, Enea, Pala, Daniele, Cheng, Cindy, Messerschmidt, Luca, Büthe, Tim, Bellazzi, Riccardo
Published in Scientific reports

A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks

by Sauta, Elisabetta, Demartini, Andrea, Vitali, Francesca, Riva, Alberto, Bellazzi, Riccardo
Published in BMC bioinformatics

Democratized image analytics by visual programming through integration of deep models and small-scale machine learning

by Godec, Primož, Pančur, Matjaž, Ilenič, Nejc, Čopar, Andrej, Stražar, Martin, Erjavec, Aleš, Pretnar, Ajda, Demšar, Janez, Starič, Anže, Toplak, Marko, Žagar, Lan, Hartman, Jan, Wang, Hamilton, Bellazzi, Riccardo, Petrovič, Uroš, Garagna, Silvia, Zuccotti, Maurizio, Park, Dongsu, Shaulsky, Gad, Zupan, Blaž
Published in Nature communications

Evolving determinants of carotid atherosclerosis vulnerability in asymptomatic patients from the MAGNETIC observational study

by Catalano, Oronzo, Bendotti, Giulia, Mori, Alessia, De Salvo, Maria, Falconi, Marialuisa, Aloi, Teresa L, Tibollo, Valentina, Bellazzi, Riccardo, Bardile, Alberto Ferrari, Montagna, Stefano, Pesarin, Clara, Poggi, Paolo, Pedretti, Roberto F E, Priori, Silvia G
Published in Scientific reports

A dashboard-based system for supporting diabetes care

by Dagliati, Arianna, Sacchi, Lucia, Tibollo, Valentina, Cogni, Giulia, Teliti, Marsida, Martinez-Millana, Antonio, Traver, Vicente, Segagni, Daniele, Posada, Jorge, Ottaviano, Manuel, Fico, Giuseppe, Arredondo, Maria Teresa, De Cata, Pasquale, Chiovato, Luca, Bellazzi, Riccardo
Published in Journal of the American Medical Informatics Association : JAMIA

Predicting emerging SARS-CoV-2 variants of concern through a One Class dynamic anomaly detection algorithm

by Nicora, Giovanna, Salemi, Marco, Marini, Simone, Bellazzi, Riccardo
Published in BMJ health & care informatics

Patient-Generated Health Data Integration and Advanced Analytics for Diabetes Management: The AID-GM Platform

by Salvi, Elisa, Bosoni, Pietro, Tibollo, Valentina, Kruijver, Lisanne, Calcaterra, Valeria, Sacchi, Lucia, Bellazzi, Riccardo, Larizza, Cristiana
Published in Sensors (Basel, Switzerland)

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium

by Brat, Gabriel A, Weber, Griffin M, Gehlenborg, Nils, Avillach, Paul, Palmer, Nathan P, Chiovato, Luca, Cimino, James, Waitman, Lemuel R, Omenn, Gilbert S, Malovini, Alberto, Moore, Jason H, Beaulieu-Jones, Brett K, Tibollo, Valentina, Murphy, Shawn N, Yi, Sehi L', Keller, Mark S, Bellazzi, Riccardo, Hanauer, David A, Serret-Larmande, Arnaud, Gutierrez-Sacristan, Alba, Holmes, John J, Bell, Douglas S, Mandl, Kenneth D, Follett, Robert W, Klann, Jeffrey G, Murad, Douglas A, Scudeller, Luigia, Bucalo, Mauro, Kirchoff, Katie, Craig, Jean, Obeid, Jihad, Jouhet, Vianney, Griffier, Romain, Cossin, Sebastien, Moal, Bertrand, Patel, Lav P, Bellasi, Antonio, Prokosch, Hans U, Kraska, Detlef, Sliz, Piotr, Tan, Amelia L M, Ngiam, Kee Yuan, Zambelli, Alberto, Mowery, Danielle L, Schiver, Emily, Devkota, Batsal, Bradford, Robert L, Daniar, Mohamad, Daniel, Christel, Benoit, Vincent, Bey, Romain, Paris, Nicolas, Serre, Patricia, Orlova, Nina, Dubiel, Julien, Hilka, Martin, Jannot, Anne Sophie, Breant, Stephane, Leblanc, Judith, Griffon, Nicolas, Burgun, Anita, Bernaux, Melodie, Sandrin, Arnaud, Salamanca, Elisa, Cormont, Sylvie, Ganslandt, Thomas, Gradinger, Tobias, Champ, Julien, Boeker, Martin, Martel, Patricia, Esteve, Loic, Gramfort, Alexandre, Grisel, Olivier, Leprovost, Damien, Moreau, Thomas, Varoquaux, Gael, Vie, Jill-Jênn, Wassermann, Demian, Mensch, Arthur, Caucheteux, Charlotte, Haverkamp, Christian, Lemaitre, Guillaume, Bosari, Silvano, Krantz, Ian D, South, Andrew, Cai, Tianxi, Kohane, Isaac S
Published in NPJ digital medicine

Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records

by Dagliati, Arianna, Geifman, Nophar, Peek, Niels, Holmes, John H., Sacchi, Lucia, Bellazzi, Riccardo, Sajjadi, Seyed Erfan, Tucker, Allan
Published in Artificial intelligence in medicine

Deep Learning to Unveil Correlations between Urban Landscape and Population Health

by Pala, Daniele, Caldarone, Alessandro Aldo, Franzini, Marica, Malovini, Alberto, Larizza, Cristiana, Casella, Vittorio, Bellazzi, Riccardo
Published in Sensors (Basel, Switzerland)