Michela Sperti

Dottoranda in Bioingegneria E Scienze Medico-chirurgiche , 36o ciclo (2020-2023)
Dipartimento di Ingegneria Meccanica e Aerospaziale (DIMEAS)

Assegnista di Ricerca
Dipartimento di Ingegneria Meccanica e Aerospaziale (DIMEAS)

Docente esterno e/o collaboratore didattico
Dipartimento di Ingegneria Meccanica e Aerospaziale (DIMEAS)


Dottorato di ricerca

Titolo della tesi

Predicting Personalized Pathological Risks and Dynamics in Cardiology - How to Exploit Data-Driven Approaches in Clinical Decision Support Systems

Argomento di ricerca

Predicting pathological risks and dynamics through explainable artificial intelligence techniques.


Presentazione della ricerca


Interessi di ricerca

Computer Science
Medical Innovation and Technology
Multiscale Modelling Methods in Biomechanics
Physiological mathematical modelling
Biomedical signal and image processing


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.

Settore scientifico discliplinare

(Area 0009 - Ingegneria industriale e dell'informazione)


Settori ERC

LS7_10 - Health services, health care research, medical ethics
PE8_13 - Industrial bioengineering
PE1_18 - Scientific computing and data processing
PE6_12 - Scientific computing, simulation and modelling tools


Goal 3: Good health and well-being

Premi e riconoscimenti

  • 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)



Corso di laurea magistrale

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Gruppi di ricerca


Pubblicazioni degli ultimi anni

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