FBK's Giuseppe Jurman will elaborate on the topic ‘Generative AI in sequencing: enhancing models by synthetic omics data’ in this webinar, organised by the AIxAI ‘AI for Healthcare’ working group.
Webinar organised by the AI & Health working group of AIxIA (Italian Association for Artificial Intelligence) to promote activities in the field of Artificial Intelligence applied to healthcare.
Link for the streaming
- Speaker: Giuseppe Jurman, Head of DSH (Data Science for Health) Unit, Fondazione Bruno Kessler – FBK (Trento, Italy)
- Title: Generative AI in sequencing: enhancing models by synthetic omics data.
- Abstract: Synthetic data have recently gained momentum in several scientific areas as an effective solution to dealt with several aspects of data poverty and missingness. In translational medicine, biomedical images and EHR data have been the first to benefit from synthetic augmentation techniques through generative AI algorithms such as GANs or, more recently, Diffusion-like models. Extension of these methods to omics data poses further challenges due to the nature of the signal, such as the need of taking into account sample variability and multilevel omics coherence. In this talk, we will present an overview of the state-of-the-art of the synthetic data in the omics universe, including the generative methodologies, the future perspectives, and the related caveats, concluding with some applicative use cases. (joint work with Marco Chierici and Silvia Menchetti)
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