Our PI Prof. Barbara Di Camillo will talk at the workshop in honor of Giorgio Parisi (Nobel Laureate for Physics 2021) organized by the Accademia Nazionale delle Scienze detta dei XL

On May 10th 2022, the Accademia Nazionale delle Scienze detta dei XL organizes a workshop on Complex Systems: from Physics to Biomedicine in honor of Giorgio Parisi, Nobel Laureate for Physics 2021. The meeting will be introduced by Corrado De Concini, President of the Accademia, Maria Cristina Messa, Italian Minister of University and Research, and Roberto Gualtieri, Mayor of Rome. Giorgio Parisi will open the workshop, where new approaches to investigate the complexity of natural and man-made systems will be discussed.
Our PI, Prof. Barbara Di Camillo, will held a talk entitled “FROM SINGLE-CELL TO MULTI-CELLS INFORMATION SYSTEMS ANALYSIS”.
Here the full programme

Our PI Prof. Barbara Di Camillo held a talk on the importance of Big Data  in Translational Neuroscience at the prestigious Accademia di Medicina di Torino.

On Friday 18 February 2022, the Accademia di Medicina di Torino hosted a scientific meeting entitled Big data in transactional neuroscience. The meeting was introduced by Adriano Chiò, Head of the ALS Center of the University of Turin and member of the Academy. Our PI, Prof. Barbara Di Camillo, held a lecture on how the use of big data and Artificial Intelligence may impact in healthcare and, more specifically, in Translational Neuroscience.

ABSTRACT: In recent years we are facing a change in the socio-economic health models based on data. This is the result of the increase in the volume, speed, and variety of data collected in the healthcare sector, combined with the development of Artificial Intelligence and Information Technologies. However, the effective use of this data to address the challenges in understanding and treating human health problems has yet to show its full potential. The barriers that limit the impact and practical application of Artificial Intelligence in the healthcare sector are diverse. In addition to the volume characterizing “Big Data”, their heterogeneity, complexity, variability, together with their often dynamic nature pose a number of technical and methodological challenges. Moreover, the management of the data and the interpretation of the results raise new questions related to ethical aspects, and indicate a need to change the organizational model of health management. This lecture will illustrate some basic concepts of Artificial Intelligence, discussing through some practical examples potential, challenges, and limits of its use in the medical field.

You can find the recording here (in italian only)

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!

Next week we will attend the 16th Bioinformatics and Computational Biology Conference (BBCC 2021) with four contributions related to Bioinformatics and Synthetic biology

  • “Uncover a microbiota signature of upper respiratory tract in patients with SARS-CoV-2+” (Cappellato M, Longhin F, Del Vecchio C, Brancaccio G, Bellato M, Cattelan AM, Brun P, Salaris C, Castagliuolo I, Di Camillo B)
  • “Comprehensive assessment of microbiome differential abundance tools” (Cappellato M, Baruzzo G and Di Camillo B)
  • “Analyze cellular communication from single cell RNA sequencing data with scSeqComm” (Baruzzo G, Cesaro G, Di Camillo B)
  • “Engineering of a dCas9 feedback regulator to neutralize competition effects in CRISPRi-based genetic circuits” (Bellato M, Huang HH, Qian Y, Cardenas P, Pasotti L, Magni P, Del Vecchio D)

For more details, check the conference website: https://www.bbcc-meetings.it/

Next week we will attend the 17th Computational Intelligence Methods for Bioinformatics and Biostatistics conference (CIBB 2021) with three contributions related to Amyotrophic Lateral Sclerosis heterogeneity and progression, and to wellbeing perception in the elderly population

  • Identifying extreme behaviours in Amyotrophic Lateral Sclerosis patients at diagnosis through Archetypal Analysis” (Trescato I, Tavazzi E, Vettoretti M, Vasta S, Chiò A, Di Camillo B).
  • Inspecting Progression Trajectories in Amyotrophic Lateral Sclerosis using Process Mining” (Tavazzi E, Gatta R, Vallati M, Cotti Piccinelli S, Filosto M, Castellano M, Di Camillo B).
  • Linear regression modelling to assess the impact of socio-economic, demographic and health-related variables on wellbeing in the elderly population” (Trescato I, Roversi C, Vettoretti M, Di Camillo B, Facchinetti A). 

For more details, check the conference website: http://www.isa.cnr.it/cibb2021/

Our postdocs presented at the “Workshop on Research and Education in Computer Engineering”

A great day at Villa Bolasco in Castelfranco for the “Workshop on Research and Education in Computer Engineering”. Professors, Post-docs and PhD students of Computer Engineering at the Department of Information Engineering, University of Padova, joined for a day dedicated to ongoing research activities and upcoming teaching and research priorities. Our Post-docs have also contributed with:
– “Single Cell RNA Sequencing Bioinformatics” (Giacomo Baruzzo)
– “Biological Logic gates: Towards Biocomputing via Synthetic Biology” (Massimo Bellato)
– “Predictive analytics as the enabling factor for the pursuit of healthcare goals” (Enrico Longato)
Special thanks to the organizers for making it possible (finally in presence!)