Skip to content
Systems Biology and Bioinformatics Group

Systems Biology and Bioinformatics Group

Department of Information Engineering – University of Padova

  • Home
  • News
  • People
  • Publications
  • Software
  • Thesis topics

Tag: Journal Articles

Posted on September 4, 2024May 6, 2025

Trescato I, Tavazzi E, Vettoretti M, Vasta R, Chiò A, Di Camillo B. DYNAMITE: Integrating Archetypal Analysis and Process Mining for Interpretable Disease Progression Modelling. IEEE J Biomed Health Inform 2024.

Posted on August 23, 2024May 6, 2025

Fadini GP, Longato E, Morieri ML, Bonora E, Consoli A, Fattor B, Rigato M, Turchi F, Del Prato S, Avogaro A, Solini A, DARWIN-Renal Study Investigators. Comparative renal outcomes of matched cohorts of patients with type 2 diabetes receiving SGLT2 inhibitors or GLP-1 receptor agonists under routine care. Diabetologia 2024.

Posted on June 17, 2024July 30, 2024

Gottardelli B, Gatta R, Nucciarelli L, Tudor AM, Tavazzi E, Orini S, Vallati M, Di Giorgi N, Damiani A. GEN-RWD Sandbox: Bridging the Gap Between Hospital Data Privacy and External Research Insights with Distributed Analytics. BMC Med Inform Decis Mak 2024

Posted on May 20, 2024July 30, 2024

Roversi C, Tavazzi E, Vettoretti M, Di Camillo B. A Dynamic Probabilistic Model of the Onset and Interaction of Cardio-metabolic Comorbidities. Sci Rep 2024

Posted on March 5, 2024May 6, 2025

Fadini GP, Longato E, Morieri ML, Del Prato S, Avogaro A, Solini A, DARWIN-Renal Study Investigators. Long-term benefits of dapagliflozin on renal outcomes of type 2 diabetes under routine care: a comparative effectiveness study on propensity score matched cohorts at low renal risk. Lancet Reg Health Eur 2024.

Posted on November 8, 2023January 30, 2024

Trescato I., Roversi C., Vettoretti M., Di Camillo B., Facchinetti A. A model to forecast the two-year variation of subjective wellbeing in the elderly population. BMC Med Inform and Decis Mak 2023

Posted on November 5, 2023January 22, 2024

Guazzo A, Longato E, Fadini GP, Morieri ML, Sparacino G, Di Camillo B. Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits’ text. Sci Rep 2023.

Posted on October 26, 2023January 22, 2024

Lee Y, Cappellato M, Di Camillo B. Machine learning-based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease. Gigascience. 2023

Posted on October 6, 2023January 22, 2024

Bellato M, Cappellato M, Longhin F, Del Vecchio C, Brancaccio G, Cattelan AM, Brun P, Salaris C, Castagliuolo I, Di Camillo B. Uncover a microbiota signature of upper respiratory tract in patients with SARS-CoV-2+. Sci Rep. 2023

Posted on May 20, 2023January 22, 2024

Tavazzi E, Longato E, Vettoretti M, Aidos H, Trescato I, Roversi C, Martins AS, Castanho EN, Branco R, Soares DF, Guazzo A, Birolo G, Pala D, Bosoni P, Chiò A, Manera U, de Carvalho M, Miranda B, Gromicho M, Alves I, Bellazzi R, Dagliati A, Fariselli P, Madeira SC, Di Camillo B. Artificial Intelligence and Statistical Methods for Stratification and Prediction of Progression in amyotrophic lateral sclerosis: A Systematic Review. Artif Intell Med 2023.

Posts pagination

Previous page Page 1 Page 2 Page 3 … Page 13 Next page

Follow us

  • twitter
  • gitlab
  • linkedin

Department of Information Engineering

  • linkedin
  • instagram
  • facebook
  • youtube
  • wordpress

Follow us

  • twitter
  • linkedin
  • gitlab

Department of Information Engineering – University of Padova

  • wordpress
  • linkedin
  • instagram
  • facebook
  • youtube

Link

UNIPD
DEI@UNIPD
ISCB
elixir
elixir ITA
BITS
Proudly powered by WordPress

We are using cookies to give you the best experience on our website.

You can find out more about which cookies we are using or switch them off in .

Systems Biology and Bioinformatics Group
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Strictly Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.