Synthetic Data Generation through AI-based Methodologies within the SYNTHIA Project
Deadline: 19/02/2026
Scientific-Disciplinary Group
02/PHYS-06 - Physics For Life Sciences, Environment, And Cultural Heritage, Physics Education And History Of Physics
Description
The research project is part of the European project SYNTHIA and focuses on the development of advanced AI methodologies for synthetic data generation in healthcare, with particular emphasis on medical and histopathological imaging and structured longitudinal clinical data. The research activities will have a strong methodological focus and will include: • development and analysis of mathematical and computational models for complex biomedical data; • application of advanced generative models, including probabilistic approaches, deep generative models and continuous normalizing flows; • use of optimal transport and conditional generation techniques to preserve statistical structure and clinically relevant properties; • generation and integration of multimodal synthetic data (medical imaging, histopathology and clinical data); • definition and evaluation of quantitative quality metrics for synthetic data, addressing fidelity, utility, robustness, bias and privacy.
Job posting website
Funding body
ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE MEDICHE E CHIRURGICHE
How to apply
Other
Selection process
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