THEMATIC SESSION #22

Data sharing: the foundations for AI-driven analysis in industry and medicine

ORGANIZED BY

Angelucci Alessandra Angelucci

Alessandra Angelucci

Polytechnic of Milan, Italy

Cesarelli Giuseppe Cesarelli

Giuseppe Cesarelli

University of Naples Parthenope, Italy

Cristaldi Loredana Cristaldi

Loredana Cristaldi

Polytechnic of Milan, Italy

Aliverti Andrea Aliverti

Andrea Aliverti

Polytechnic of Milan, Italy

ABSTRACT

The increasing reliance on data science and machine learning techniques across various sectors highlights the critical importance of data quality. Real-world data is often characterized by inaccuracies, noise, uncertainties, and inconsistencies, which can significantly affect the results of these tasks.

The availability and rational organization of high-quality datasets are thus essential for advancing AI-driven analysis in industrial and biomedical applications, as also claimed in the HIPAA (Health Insurance Portability and Accountability Act) Privacy Rule in the USA and the AI ACT in the EU. This thematic session will focus on the collection, curation, and utilization of open datasets in domains such as industry and medicine, including also data federation/virtualization. Contributions are encouraged on best practices and experiences for dataset structuring, cleaning, and annotation methodologies, and case studies demonstrating AI-based insights derived from both proprietary and public datasets. Additionally, the discussions will address challenges in metrological validation, dataset standardization, and the role of Datathons and similar competitions in fostering collaborative data-driven research. The session aims to bridge the gap between dataset availability and AI-powered decision-making, fostering interdisciplinary collaborations in a world where data sharing is not only a requirement from public funding agencies, but a key aspect of algorithm development in the private sector.

ABOUT THE ORGANIZERS

Alessandra Angelucci, was born in Milan in 1995. She received the M.Sc. degree in biomedical engineering and the Ph.D. degree in bioengineering from Politecnico di Milano, Milan, Italy, in 2019 and 2022, respectively. She is currently an Assistant Professor of bioengineering at Politecnico di Milano (Milan, Italy). Her main research interests are biomedical instrumentation with a focus on wearable technology for physiological, environmental and activity monitoring, design and integration of telemedicine platforms, and digital health solutions.
She is author of 18 papers in international peer-reviewed journals, 3 IEEE conference papers, 6 international conference abstracts, 2 book chapters, 2 patent applications and 1 industrial design application.

Giuseppe Cesarelli received the the Doctor of Philosophy in Industrial Product and Process Engineering in 2020, from the University of Naples Federico II. Since 2024, he has been an Assistant Professor at the University of Naples "Parthenope". He is co-author of more than 70 scientific papers, published in international journals and proceeding of international conferences. His current scientific interest involves additive manufacturing applications in medicine, in addition to topics related to the biomedical area investigated since previous years, such as science and clinical application of biomaterials, biomedical applications in ergonomics, healthcare management, and biomedical data processing, including applications of machine learning.

Loredana Cristaldi (S’91–M’01–SM’06) received the M.Sc. degree in electrical engineering from the University of Catania, Catania, in 1992, and the Ph.D. degree in electrical engineering from the Politecnico di Milano, Milan, Italy, in 1995. In 1999, she joined the Dipartimento di Elettrotecnica, Politecnico di Milano as an Assistant Professor of electrical and electronic measurements. She is a Full Professor with the Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano.
Her current research interests include the measurements of electric quantities under nonsinusoidal conditions, virtual instruments, and measurement methods for reliability, monitoring, and fault diagnosis.
Prof. Cristaldi is a Counsellor of the IEEE Student Branch of the Politecnico di Milano and a member of the TC 315 CEI (WG6) and TC56 CEI.

Andrea Aliverti, was born in Como in 1966. He received the M.Sc. degree in electronics engineering and the Ph.D. degree in bioengineering from Politecnico di Milano, Milan, Italy, in 1992 and 1997, respectively.
He is currently a Full Professor at the Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, where from 2023 he is vice-director. He is responsible of the Respiratory Analysis Lab (LARes) at the Biomedical Technology Laboratory (TBMLab). His actual main research interests include the bioengineering of the respiratory system, physiological measurements, biomedical instrumentation, functional lung imaging, respiratory mechanics, wearable sensors and technologies for digital health, artificial intelligence applied to physiological data, signals, and images. He is author of more than 300 papers, editor of 4 books and inventor in 15 patents. Prof. Aliverti is an active member of IEEE. He acts as the Conference general chair of the IEEE-STAR (Sport, Technology and Research) International Conf. (from 2023) and program chair of icSPORTS 2023 – International Conference on Sport Sciences Research and Technology Support. Since 2020, he is Honorary Fellow of the European Respiratory Society (FERS). He was awarded of the ERS COPD Award in 2004, the Vertex Innovation Award (VIA) in 2018, and the Andrew P. Sage Award, IEEE Transactions on Human-Machine Systems in 2021.

WITH THE PATRONAGE OF

univpm
unina
unisalento
polimi
University_of_Hertfordshire
Chemnitz
Ulster University
IST
PUC
HSMW_LOGO
hes-so
unisi
uniparthenope
ding_parthenope
dieti
stiima
carmelo
cirmis
arhemlab
res4net
pems
ageit