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

Category: publications

All SysBiobig pubblications

Posted on August 22, 2022February 6, 2024

Longato E, Di Camillo B, Sparacino G, Avogaro A, Fadini GP. Time-resolved trajectory of glucose lowering medications and cardiovascular outcomes in type 2 diabetes: a recurrent neural network analysis. Cardiovasc Diabetol 2022.

Posted on August 22, 2022

Trescato I, Guazzo A, Longato E, Hazizaj E, Roversi C, Tavazzi E, Vettoretti M, Di Camillo B. Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression. In: Faggioli G, Ferro N, Hanbury A, Potthast M (Eds.), CLEF 2022 Working Notes, CEUR Workshop Proceedings (CEUR-WS.org) 2022

Posted on June 1, 2022February 6, 2024

Longato E, Morieri ML, Sparacino G, Di Camillo B, Cattelan A, Lo Menzo S, Trevenzoli M, Vianello A, Guarnieri G, Lionello F, Avogaro A, Fioretto P, Vettor R, Fadini GP. Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes. Comput Methods Programs Biomed 2022.

Posted on May 11, 2022May 24, 2022

Guazzo A, Longato E, Morieri ML, Sparacino G, Franco-Novelletto B, Cancian M, Fusello M, Tramontan L, Battaggia A, Avogaro A, Fadini GP, Di Camillo B. Performance assessment across different care settings of a heart failure hospitalisation risk-score for type 2 diabetes using administrative claims. Scientific Reports 2022

Posted on March 10, 2022March 25, 2022

Tavazzi E, Daberdaku S, Zandonà A, Vasta R, Nefussy B, Lunetta C, Mora G, Mandrioli J, Grisan E, Tarlarini C, Calvo A, Moglia C, Gotkine M, Drory V, Chiò A, Di Camillo B. Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression. J Neurol 2022

Posted on February 10, 2022February 14, 2022

Baruzzo G, Patuzzi I, Di Camillo B. Beware to ignore the rare: how imputing zero-values can improve the quality of 16S rRNA gene studies results. BMC Bioinformatics 2022

Posted on January 19, 2022April 8, 2022

Baruzzo G, Cesaro G, Di Camillo B. Identify, quantify and characterize cellular communication from single cell RNA sequencing data with scSeqComm. Bioinformatics 2022

Posted on January 14, 2022May 12, 2022

Guazzo A, Longato E, Fadini GP, Sparacino G, Battaggia A, Franco-Novelletto B, Cancian M, Fusello M, Avogaro A, Di Camillo B. Comparing the Predictive Power of Heart Failure Hospitalisation Risk Scores in the Diabetic Outpatient Clinic and Primary Care Settings. In: Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2021

Posted on November 16, 2021March 25, 2022

Trescato I, Tavazzi E, Vettoretti M, Vasta R, Chiò A, Di Camillo B. Identifying prototype model patients in Amyotrophic Lateral Sclerosis patients at diagnosis through Archetypal Analysis. In: Proc. 17th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2021.

Posted on November 16, 2021March 25, 2022

Tavazzi E, Gatta R, Vallati M, Cotti Piccinelli S, Filosto M, Castellano M, Di Camillo B. Inspecting Progression Trajectories in Amyotrophic Lateral Sclerosis using Process Mining. In: Proc. 17th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics (CIBB) 2021

Posts pagination

Previous page Page 1 … Page 6 Page 7 Page 8 … Page 18 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.