Ph.D. in Bioingegneria E Scienze Medico-chirurgiche , 36th cycle (2020-2023)
Ph.D. obtained in 2024
Dissertation:
Predicting Personalized Pathological Risks and Dynamics in Cardiology - How to Exploit Data-Driven Approaches in Clinical Decision Support Systems (Abstract)
Tutors:
Umberto Morbiducci Marco Agostino Deriu Umberto Michelucci
Research presentation:
PosterProfile
Research topic
Predicting pathological risks and dynamics through explainable artificial intelligence techniques.
Research interests
Biography
Michela Sperti (SCOPUS ID: 57217331713, h-index: 5) is a third-year Ph.D. student at Politecnico di Torino, Bioengineering Department, with Prof. M. A. Deriu. She graduated in Biomedical Engineering at Politecnico di Torino in 2019 with a thesis on machine learning techniques for cardiovascular risk prediction in rheumatic patients. She worked for one year as a Research Assistant under the European-funded MSCA VIRTUOUS project (which aims to apply machine learning techniques to investigate taste and food properties). Currently, she is studying explainability techniques for machine learning and deep learning models applied in clinical decision support systems with a special focus on cardiovascular risk prediction. The final aim of her research is the understanding of complex mechanisms that underlie physiological processes. She is very passionate about teaching and is committed to communicating her results. She is the author of nine articles published in peer-review journals, three conference papers and she took part in three international workshops as both a teaching assistant and a speaker. She is Contributing Author of the book "Applied Deep Learning with TensorFlow 2" by U. Michelucci.
Awards and Honors
- Best Review Article of the Year Award, Presented to the authors of the highest impact review article published in 2022 in Minerva Cardiology Angiology. (2023)
- Description of role of Michela Sperti in the writing and preparation of “Applied Deep Learning with TensorFlow 2 – Second Edition” published by APRESS/Springer in 2022. (2022)
Teaching
Teachings
Master of Science
- Biomechanical design. A.A. 2021/22, INGEGNERIA BIOMEDICA. Collaboratore del corso
- Biomechanical design. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso
- Biomechanical design. A.A. 2023/24, INGEGNERIA BIOMEDICA. Collaboratore del corso
- Rational Drug Design: Principles and Applications. A.A. 2021/22, INGEGNERIA BIOMEDICA. Collaboratore del corso
- Biomeccanica multiscala. A.A. 2021/22, INGEGNERIA BIOMEDICA. Collaboratore del corso
- Biomeccanica multiscala. A.A. 2022/23, INGEGNERIA BIOMEDICA. Collaboratore del corso
- Biomeccanica multiscala. A.A. 2023/24, INGEGNERIA BIOMEDICA. Collaboratore del corso
Publications
Last years publications
Publications by type
Works published during the Ph.D. View all publications in Porto@Iris
- Kassem, Karim; Sperti, Michela; Cavallo, Andrea; Vergani, Andrea Mario; Fassino, Davide; ... (2024)
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR). In: ARTIFICIAL INTELLIGENCE IN MEDICINE, vol. 151. ISSN 0933-3657
Contributo su Rivista - Sperti, Michela (2024)
Predicting Personalized Pathological Risks and Dynamics in Cardiology - How to Exploit Data-Driven Approaches in Clinical Decision Support Systems. relatore: MORBIDUCCI, UMBERTO; DERIU, MARCO AGOSTINO; , 36. XXXVI Ciclo, P.: 173
Doctoral Thesis - Gentile, Fr; Shah, Sth; Sperti, M; Panagiotopoulos, K; Primi, R; Bendotti, S; Currao, A; ... (2023)
An innovative MedIcaL dEcision Support tool for neurological ouTcome predictiOn from post-resuscitatioN Electrocardiograms (MILESTONE). In: EUROPEAN HEART JOURNAL, vol. 44. ISSN 1522-9645
Contributo su Rivista - Venturini, F.; Michelucci, U.; Sperti, M.; Gucciardi, A.; Deriu, M. A. (2023)
Understanding the learning mechanism of convolutional neural network applied to fluorescence spectra. In: SPIE OPTO, 2023. ISBN: 9781510659810
Contributo in Atti di Convegno (Proceeding) - Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Gucciardi, Arnaud; Martos, ... (2023)
Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks: Application to olive oil. In: JOURNAL OF FOOD ENGINEERING, vol. 336. ISSN 0260-8774
Contributo su Rivista - Gucciardi, A; Michelucci, U; Venturini, F; Sperti, M; Martos, Vm; Deriu, Ma (2022)
Compact optical fluorescence sensor for food quality control using artificial neural networks: application to olive oil. In: SPIE Photonics Europe. ISSN 0277-786X. ISBN: 9781510651548
Contributo in Atti di Convegno (Proceeding) - Venturini, F; Michelucci, U; Sperti, M; Gucciardi, A; Deriu, Ma (2022)
One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge: explainability techniques applied to olive oil fluorescence spectra. In: SPIE Photonics Europe. ISSN 0277-786X. ISBN: 9781510651548
Contributo in Atti di Convegno (Proceeding) - Sperti, M; Michelucci, U; Venturini, F; Gucciardi, A; Deriu, Ma (2022)
Chemical analysis of olive oils from fluorescence spectra thanks to one-dimensional convolutional neural networks. In: SPIE Photonics Europe. ISSN 0277-786X. ISBN: 9781510651548
Contributo in Atti di Convegno (Proceeding) - Halasz, Geza; Sperti, Michela; Villani, Matteo; Michelucci, Umberto; Agostoni, ... (2021)
A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score. In: JMIR. JOURNAL OF MEDICAL INTERNET RESEARCH, vol. 23. ISSN 1438-8871
Contributo su Rivista - Michelucci, Umberto; Sperti, Michela; Piga, Dario; Venturini, Francesca; Deriu, Marco A. (2021)
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification. In: ALGORITHMS, vol. 14. ISSN 1999-4893
Contributo su Rivista - Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Herzig, Ivo; Baumgartner, ... (2021)
Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques. In: FOODS, vol. 10. ISSN 2304-8158
Contributo su Rivista - Sperti, Michela; D’Ascenzo, Fabrizio; Navarini, Luca; Di Benedetto, Giacomo; Afeltra, ... (2021)
Machine learning approaches as an alternative to traditional statistical methods in cardiovascular risk prediction. In: III Convegno Annuale "L'era delle 3R: modelli in silico, in vitro e in vivo per promuovere la ricerca traslazionale". ISSN 2531-9892
Contributo in Atti di Convegno (Proceeding) - Navarini, Luca; Caso, Francesco; Costa, Luisa; Currado, Damiano; Stola, Liliana; ... (2020)
Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment. In: RHEUMATOLOGY AND THERAPY, vol. 7, pp. 867-882. ISSN 2198-6576
Contributo su Rivista