After completing the Bachelor's degree in Information Engineering, Isotta enrolled in the Master's degree programme in Bioengineering, with a strong focus on information technologies applied to healthcare and, more in general, on data analysis, attending courses on data modelling, signal processing and machine learning. She is currently a PhD student in Information Engineering at the University of Padova and her research area is the development of AI-based models for prediction and stratification of patients affected by chronic neurodegenerative diseases.

Bachelor's degree in Information Engineering
at the University of Padova, Italy

Oct 2014 - Sep 2018
Thesis title: Microelectronic technologies for wearable medical devices
Supervisor: Prof. Gaudenzio Meneghesso

Master's Degree in Bioengineering
at the University of Padova, Italy

Oct 2018 - Dec 2020
Thesis title: Predictive models of wellbeing in the elderly population using machine learning techniques
Supervisor: Prof. Andrea Facchinetti

Erasmus student
at the University of Porto, Portugal

Sep 2019 - Feb 2020

Research Fellow
at the Department of Information Engineering, University of Padova, Padova, Italy

Jan 2021 - Sep 2021

PhD Student in Information Engineering
at the Department of Information Engineering, University of Padova, Padova, Italy

Oct 2021 - today
Supervisor: Prof. Barbara Di Camillo

Graduation to Professional Information Engineer
according to Italian legislation

Jun 2020 - Padova, Italy

"Mario Stefanelli Award" for the Best Master Thesis in E-health and Clinical Engineering,
from the National Group of Bioengineering

Sep 2021 - Brixen, Italy

Program committee, Local committee at the 18th Conference on Computational Intelligence Methods for Bioinformatics & Biostatistics (CIBB 2023)

September 6-8, 2023 – Padova, Italy

Journal referee: Springer Lecture Notes in Bioinformatics (LNBI) proceedings

Conference referee: Research in Computational Molecular Biology (RECOMB) 2021, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2021, Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB) 2021, International Conference of Artificial Intelligence in Medicine (AIME) 2023, Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB) 2023, IEEE International Conference on Healthcare Informatics (IEEE-ICHI) 2023.

BRAINTEASER

Jan 2021 - ongoing
Scientific and technical manager: Prof.ssa Barbara Di Camillo
Role: collaborator. Isotta Trescato is involved in processing data and developing AI models to characterize disease progression and to predict events of interest for ALS and MS patients.
For more information visit BRAINTEASER project's website

PRIN (Call 2017): “Deconstruct and rebuild phenotypes: a multimodal approach toward personalized medicine in ALS" (DECIPHER-ALS)

2017 - 2020
Principal Investigator: Prof.ssa Barbara Di Camillo
Role: collaborator

Isotta Trescato has served as co-supervisor for: 1 Master Degree student thesis in Data Science, in a joint project with University of Padova and University of Lisbon, 2 Bachelor Degree students's thesis in Biomedical Engineering at the University of Padova and 6 students of the second-level short specialisation degree in "Machine learning and big data in precision medicine and biomedical research", at the University of Padova.

Poster presentation: I. Trescato, E. Tavazzi, M. Vettoretti, R.Vasta, A. Chiò, B. Di Camillo. “Identifying Extreme Profiles in Amyotrophic Lateral Sclerosis Patients at Diagnosis through Archetypal Analysis” at the VIII Congress of the National Group of Bioengineering (GNB)

Padova, Italy, June 21-23, 2023

Poster presentation: I. Trescato, M. Vettoretti, B. Di Camillo. “Predictive and risk stratification models in patients affected by chronic neurodegenerative diseases” at the PhD Consortium of the 21st International Conference of Artificial Intelligence in Medicine

Portoroz, Slovenia, June 12-15, 2023

Oral presentation: I. Trescato, A. Guazzo, E. Longato, E. Hazizaj, C. Roversi, E. Tavazzi, M. Vettoretti, B. Di Camillo. “Baseline Machine Learning Approaches To Predict Amyotrophic Lateral Sclerosis Disease Progression” at the CLEF Initiative (Conference and Labs of the Evaluation Forum, formerly known as Cross-Language Evaluation Forum) (CLEF) 2022

Bologna, Italy, September 5-8, 2022

Oral presentation: I. Trescato, E. Tavazzi, M. Vettoretti, B. Di Camillo. “Identifying prototype model patients in Amyotrophic Lateral Sclerosis patients at diagnosis through Archetypal Analysis” at Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB) 2021

Virtual conference, November 15-17, 2021

Poster presentation: I. Trescato, C. Roversi, M. Vettoretti, B. Di Camillo, A. Facchinetti. “Identification of demographic, socio-economic and health-related factors influencing wellbeing in the elderly population using regression models” at IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2021

Virtual conference, July 27-30, 2021

The complete list of publications is available on Google Scholar or Scopus.