Biography

Giovanna Nicora is currently a Research Fellow (RTDa) at the Department of Industrial and Information Engineering at the University of Pavia. She earned her Master’s degree in Bioengineering in 2016 and a Ph.D. in Bioengineering and Bioinformatics in 2021 from the same university. In 2021, she was selected as a member of the DAAD-AINet, a recognition program for young researchers in the field of Artificial Intelligence promoted by the German government.

Her research focuses on the implementation of Artificial Intelligence systems in the medical domain, with particular emphasis on the development of methods to ensure the reliability of such systems.

She is the instructor of the course “Laboratory of Medical Devices and Systems” in the joint Bachelor's program in Artificial Intelligence, organized by the University of Pavia in collaboration with the University of Milan and the University of Milano-Bicocca. She also teaches the course “Fundamentals of Computer Science” in the single-cycle degree program in Medicine and Surgery “Medicine Enhanced by Engineering Technologies.”

Google Scholar

Projects

DECODe

Dialogues in reproduction: deciphering Exosomes-mediated Communication to improve Oocyte Developmental competence

WISH – Women’s Integrated Support for Hormonal Health in early breast cancer

mHealth to support follow-up of BC patients

Publications

Nicora, Pe, Santangelo, et al.

Systematic review of AI/ML applications in multi-domain robotic rehabilitation: trends, gaps, and future directions

Published in: Journal of NeuroEngineering and Rehabilitation

Nicora, Parimbelli, Quaglini et al.

Healthcare practitioners and robotic-assisted rehabilitation: understanding needs and barriers

Published in: Journal of NeuroEngineering and Rehabilitation

Fasano et al

Towards the Identification of Patients’ Needs for Promoting Robotics and Allied Digital Technologies in Rehabilitation: A Systematic Review

Published in: Healthcare

Peracchio, Nicora, Parimbelli, Buonocore, Dagliati, Bellazzi et al

RelAI: an automated approach to judge pointwise ML prediction reliability

Published in: International Journal of Medical Informatics

Santangelo, Nicora, Bellazzi, Dagliati

How good is your synthetic data? SynthRO, a dashboard to evaluate and benchmark synthetic tabular data

Samuele Pe, Arianna Dagliati, Enea Parimbelli, Bruna Maria Vittoria Guerra, Stefania Sozzi, Riccardo Bellazzi, Giovanna Nicora

How improper dataset split hinders model generalizability: a systematic comparison in Human activity recognition and exercise evaluation tasks

Published in: International Journal of Medical Informatics

Irene Giovanna Aprile, Alessio Fasano, Marco Germanotta, Maria Cristina Mauro, Monia Andrea Papa, Giovanna Nicora, Leopoldo Trieste, Giuseppe Turchetti, Elena Beani, Giuseppina Sgandurra, Silvana Quaglini, Cristina Messa, Mission 1 Fit4MedRob Consortium

Identifying needs in adult rehabilitation to support the clinical implementation of robotics and allied technologies: an Italian national survey

Published in: Frontiers in Digital Health

Giovanna Nicora, Lucia Sacchi, Valentina Tibollo, Elisa Cigliutti, Marco Caretti, Francesca Falchini, Maria Cristina Mauro, Alessio Fasano, Mariacristina Siotto, Arianna Pavan, Laura Cortellini, Stefania Lattanzi, Riccardo Bellazzi, Irene Giovanna Aprile, Marco Germanotta, Silvana Quaglini

Digitizing rehabilitation outcomes and assessing data quality in clinical trials: implementing validated scales in REDCap for a stroke RCT

Published in: BMC Medical Research Methodology

Contacts