Predicting pathological risks and dynamics through explainable artificial intelligence techniques.

• 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

• 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

• 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
• Cecchi, Rossana; Calabrò, Francesco; Haja, Tudor Mihai; Sperti, Michela; Zizzi, Eric ... (2024)
  Intelligenza Artificiale In Sanità: Proposta Di Una Nuova Metodologia Medico-legale In Materia Di Responsabilita Medica. In: RIVISTA ITALIANA DI MEDICINA LEGALE E DEL DIRITTO IN CAMPO SANITARIO, vol. 3-4, pp. 441-462. ISSN 2499-2860
  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
• 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, 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)
• 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)
• 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)
• Sperti, Michela; Malavolta, Marta; Staunovo Polacco, Federica; Dellavalle, Annalisa; ... (2022)
  Cardiovascular risk prediction: from classical statistical methods to machine learning approaches. In: MINERVA CARDIOLOGY AND ANGIOLOGY, vol. 70, pp. 102-122. ISSN 2724-5683
  Contributo su Rivista
• Sperti, Michela; Malavolta, Marta; Ciniero, Gloria; Borrelli, Simone; Cavaglià, Marco; ... (2021)
  JAK Inhibitors in Immune-Mediated Rheumatic Diseases: from a Molecular Perspective to Clinical Studies. In: JOURNAL OF MOLECULAR GRAPHICS & MODELLING, vol. 104. ISSN 1093-3263
  Contributo su Rivista
• 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
• 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)
• 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
• 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
• Navarini, L.; Sperti, M.; Currado, D.; Costa, L.; Deriu, M. A.; Margiotta, D. P. E.; ... (2020)
  A machine-learning approach to cardiovascular risk prediction in psoriatic arthritis. In: RHEUMATOLOGY, vol. 59, pp. 1767-1769. ISSN 1462-0324
  Contributo su Rivista