SPECIAL SESSION #26

Metrology and Machine Learning in Medical Applications

ORGANIZED BY

Criscuolo Sabatina Criscuolo

Sabatina Criscuolo

Università degli Studi di Napoli Federico II, Italy

Pesola Marisa Pesola

Marisa Pesola

Università degli Studi di Napoli Federico II, Italy

Lo Regio Fabrizio Lo Regio

Fabrizio Lo Regio

Università degli Studi di Napoli Federico II, Italy

Martinez Esther Durá Martinez

Esther Durá Martinez

Universitat de Valencia, Spain

ABSTRACT

The intersection of Machine Learning (ML) and medicine heralds a new era of innovation, promising transformative advancements in diagnostics, personalized treatment plans, and healthcare delivery. In this context, metrology is a central element for confidence and quality of ML results.

This special session aims to be a journey dedicated to exploring the frontiers of machine learning in the medical domain within a metrological framework. Specifically, contributions aim to examine how metrology and artificial intelligence can converge to improve diagnostics, monitoring, and treatment of diseases are encouraged.

Participation in this essential dialogue is welcomed, uniting researchers, practitioners, and stakeholders. Valuable insights into original contributions exploring the opportunities offered by the union of metrology and ML, also considering the challenges and limitations that emerge.

TOPICS

Topics of interest include, but are not limited to, the following:

  • Metrology and Machine Learning for medical applications;
  • Machine Learning for Biosignal Analysis and Interpretation;
  • Predictive Modelling and Diagnostic Applications in Personalized Medicine;
  • Explainable Artificial Intelligence for Biomedical Data;
  • Integration of Machine Learning into Clinical Decision Support Systems;
  • Patient Outcome Prediction Models;
  • ML Applications in Neurodegenerative Disease Research.

ABOUT THE ORGANIZERS

Sabatina Criscuolo, received her M.S. degree in biomedical engineering from the University of Naples Federico II in 2021. Currently, she is a Ph.D. student in Information and Communication Technology for Health at the same university. Her research activities focus on artificial intelligence techniques in healthcare applications and processing of biomedical signals.

Marisa Pesola, received the M.S. degree in biomedical engineering from the University of Naples Federico II in 2022. She is currently a Ph.D. student in Computation and Quantitative Biology. Her research interests focus on artificial intelligence methods in healthcare applications and processing of biomedical signals.

Fabrizio Lo Regio is a Ph.D. student in Information Technology and Electrical Engineering at the University of Naples Federico II. He received his M.S. degree in Biomedical Engineering from the University of Naples Federico II in 2022. His main research activities involve applied metrology for Human-Computer Interaction and measurement in biomedical context.

Esther Durá, is a Tenured Associate Professor at the Universitat of València. She completed her studies in Computer Science at the University of Valencia and her masters in Artificial intelligence at the University of Edinburgh (Scoltand, UK), in 1998 and 1999, respectively. She then continued to do a PhD at Heriot-Watt University (Scotland, UK), 1999-2002 and a postdoc at Duke University (North Carolina, USA), 2003-2006. She then joined the Department of Computer of Science at Universitat of Valencia in 2006. Also, she has been the principal researcher of several National Spanish projects and her main research areas of interest are Image Analysis, Machine Learning, Patter Recognition for medical and remote sensing applications.

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