Biosketch: Frida Milella is an assistant professor at the University of Milano-Bicocca (Milano, Italy), Department of Informatics, Systems, and Communications (DISCo). She received her Bachelor Degree in Management Engineering in 2014 (cum laude) and, in 2017, her Master Degree in Management Engineering with a focus on management of healthcare systems (cum laude), both from Carlo Cattaneo University (Italy). In 2016 (6 months), she was an Erasmus student at the University of Valladolid (Spain). In 2017, she completed a one-year advanced training course on health technology assessment at Carlo Cattaneo University. In 2021, she received her Ph.D. in Management Engineering from the same university, with a thesis on healthcare innovations and organisational change in healthcare. In 2022, she received a second-level Master Degree in Machine Learning and Big Data in Personalised Medicine and Biomedical Research from the University of Padova (Italy), with a thesis focused on a machine learning model that leverages patient reported outcome measures (PROMs) to reduce overdiagnosis from joint and hip replacement. From 2017 to 2021, she was a research collaborator at the Centre for Health Economics, Social, and Healthcare Management at the Carlo Cattaneo University, and from 2019 to 2021, she was a core faculty member of the Carlo Cattaneo University Business School, where she taught a range of courses, including those offered by the Business School to healthcare managers and master degree students in management engineering. From January 2021 to November 2021, she was a research collaborator at I.R.C.C.S. Orthopaedic Institute Galeazzi (Milano, Italy), and from March 2022 to May 2023, she was a researcher and internal referent for the Scientific Direction of I.R.C.C.S. Hospital Galeazzi-Sant’Ambrogio (Milan, Italy), with research activities focused on applications of machine learning in orthopaedic settings and health technology assessment in COVID-19. She is the course holder for “Laboratory of Interaction Design” at the second-year Master Degree course in Theory and Technology of Communication at the University of Milano-Bicocca. In 2023, she served as co-organising chair for the workshop on artificial intelligence for an ageing society (AixAS) and as workshop proceeding co-editor. In 2024, she will be a member of the program committee of the Special Session of the 2024 IEEE International Conference on Big Data (IEEE BigData 2024). She participated in several conferences at the national and international level as a speaker. She took part in two public research projects at the national level and in one research project funded by a private teaching hospital. The Italian Ministry of Health funded a national research project (COVIDIAGNOSTIX) in 2021, where she assessed serological methods for detecting SARSCoV-2 using health technology assessment methodologies (EuneHTA core model). From 2022 to May 2023, she was involved in a research project funded by I.R.C.C.S. Hospital Galeazzi-Sant’Ambrogio (Milan, Italy) to analyse health data from hip and knee arthroplasty surgeries in populations primarily composed of older people and evaluate machine learning methods for predicting diagnostic outcomes. Since May 2023, she has been involved in a national research project (Age-IT) funded by the EU focused on care accessibility for older people and their informal caregivers in an Italian context. Her research interests focus on designing advanced AI technologies to support older people and their informal caregivers, understanding AI-based solutions' implications in the management of healthcare services, and exploring ML solutions to support physicians in their decision-making.
Roles: Spoke 5 contributor, Spoke 5 WP4 contributor
Contacts: frida.milella@unimib.it
Website: www.linkedin.com/in/eng-frida-milella-ph-d-921547b8
Research interests