Erica Tavazzi – Page 5 – Systems Biology and Bioinformatics Group

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

Author: Erica Tavazzi

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

Roversi C, Tavazzi E, Vettoretti M, Di Camillo B. A Dynamic Bayesian Network model for simulating the progression to diabetes onset in the ageing population. In: Proc. 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2021

Longato E, Fadini GP, Sparacino G, Avogaro A, Di Camillo B. Recurrent Neural Network to Predict Renal Function Impairment in Diabetic Patients via Longitudinal Routine Check-Up Data. In: Proc. of the 19th International Conference on Artificial Intelligence in Medicine (AIME) 2021.

Longato E, Fadini GP, Sparacino G, Avogaro A, Tramontan L, Di Camillo B. A Deep Learning Approach to Predict Diabetes’ Cardiovascular Complications From Administrative Claims. IEEE J Biomed Health Inform 2021.

You can find us at the International Consortium for Health Outcomes Measurement Conference (ICHOM 2020), with our contribution “Outlining outcomes for Transcatheter Aortic Valve Implantation (TAVI) patients: towards a definition of value”.