HC@AIxIA: AI&Health Seminar Series (2024) - 16 September

Generative AI in sequencing: enhancing models by synthetic omics data

 
16 September 2024 - 04:30PM CET

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)
• Short Bio: Giuseppe Jurman is a mathematician, with a PhD in Algebra, currently Head of the Data Science for Health (DSH) Unit at FBK. His main interest is the development and the application of artificial intelligence, machine learning and complex network models for diagnosis, prognosis and prediction in medicine, life science and computational biology, starting from EHRs, omics data and biomedical images, including digital pathology, with a particular emphasis on reproducibility and explainability. He is also interested in scientific programming with Python and other computing languages, and he teaches Data Visualization at the M.Sc. in Data Science at the University of Trento. 
• Flyer: link
• Link for participating: webex link + details
• VIDEO: available afterwards
  

c/o: Francesco Calimeri, Mauro Dragoni, Fabio Stella
(coordinators of the HC@AIxIA working group)

BCS SGAI: One day event on 'The Rise of AI in the Healthcare Ecosystem'

 BCS SPECIALIST GROUP ON ARTIFICIAL INTELLIGENCE (BCS SGAI)

The Rise of AI in the Healthcare Ecosystem

November 10th 2023 - British Computer Society London Office (near Moorgate Underground) 

Second Invitation to Register

A full-day event with invited talks on the following topics:

 

·       What are the things that AI can help with in the healthcare ecosystem?

·       Semantic Deep Learning for One Health: combining Knowledge Graphs and Large Language Models

·       Biomarkers and Personalised Medicine: how can AI be used for Omics Data Integration, Interpretation, and Its Application?

·       AI in Next Generation Stroke Rehabilitation

·       Machine Readable Healthcare Data Formats using FHIR

·       What SNOMED wants to be, how clinicians actually use it and what lurks in large coded clinical datalakes?

·       Bringing clinical guidelines closer to the bedside with AI techniques

 

Full details are available at http://www.bcs-sgai.org/health2023/

 

The delegate fee is £90 plus VAT for BCS and SGAI members and £110 plus VAT for others. This includes attendance at the event, lunch and refreshments. A special rate of £50 plus VAT is available for students. A Group Discount Rate is available for group bookings of three or more.

 

There is an online registration form at

http://www.bcs-sgai.org/health2023/?section=registration

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To register for future mailings about SGAI events go to http://www.bcs-sgai.org/register/.

 

Max Bramer
Chair BCS Specialist Group on Artificial Intelligence (bcs-sgai.org)

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[ I am looking to attend - travel - trains and industrial action - permitting. ]