Check out our last paper on Amyotrophic Lateral Sclerosis progression modeling that has just been published in the Journal of Neurology.
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
2nd Workshop on Process Mining for Healthcare
The 2nd Process Mining for Healthcare (PM4HC) Workshop that our Post-doc Erica Tavazzi organized together with Roberto Gatta, Lucia Sacchi, and Arianna Dagliati from the Universities of Brescia and Pavia took place yesterday.
It was a great occasion to explore the work in progress in a number of Italian institutions where new methodologies and useful applications are shedding a light on the processes happening in healthcare. Our group also had the pleasure to present our recent research on the investigation of the effectiveness of a data-driven approach to statistical analysis and its applications to Melanoma and Amyotrophic Lateral Sclerosis.
A big thank you goes to SIBIM – Italian Scientific Society of Biomedical Informatics – for sponsoring this nice event, to the University of Brescia for generously hosting the workshop, and to all the onsite and online participants for their impressive contributions and the very fruitful open discussion!
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.
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
Longato E, Di Camillo B, Sparacino G, Tramontan L, Avogaro A, Fadini GP. Cardiovascular Outcomes After Initiating GLP-1 Receptor Agonist or Basal Insulin for the Routine Treatment of Type 2 Diabetes: A Region-wide Retrospective Study. Cardiovasc Diabetol 2021.
Longato E, Bonora BM, Di Camillo B, Sparacino G, Tramontan L, Avogaro A, Fadini GP. Outcomes of Patients with Type 2 Diabetes Treated with SGLT-2 Inhibitors Versus DPP-4 Inhibitors. An Italian Real-World Study in the Context of Other Observational Studies. Diabetes Res Clin Pract 2021.
Special Session on “Artificial Intelligence and Statistical Methods for Neurodegenerative Diseases” @ CIBB 2021
It is our pleasure to announce the special session Artificial Intelligence and Statistical Methods for Neurodegenerative Diseases at the 17th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2021).
Conference dates: 15-17 November 2021
Location: virtual
Submission format: short paper (4-6 pages)
Deadline: 15 September 2021
The authors of all the accepted short papers will be invited to submit an extended version of their manuscript for the conference proceedings book in Springer Lecture Notes in Computer Science (LNCS) or for a journal supplement in BMC Bioinformatics or BMC Medical Informatics.
Topics of interest span machine learning, medical statistics, artificial intelligence, and all advanced computational methods applied to clinical, lifestyle, and -omics data in the field of neurodegenerative diseases.
The session will host, as an invited speaker, Prof. Sara Madeira (Universidade de Lisboa), a leading expert in machine learning applied to neurodegenerative diseases.
Please find the call for papers and all the submission details on the conference website http://www.isa.cnr.it/cibb2021/.
We look forward to seeing you at the conference!
The special session organizers
Erica Tavazzi, Martina Vettoretti, Enrico Longato
Department of Information Engineering, University of Padova, Padova, Italy
