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Research project

Synthetic hematological data over federated computing frameworks (SYNTHEMA)

Project overview

SYNTHEMA aims establish a cross-border hub to develop and validate Artificial Intelligence techniques for anonymisation and synthetic data generation in rare hematological diseases. SYNTHEMA will generate reliable, high-quality synthetic data that can shape new virtual patients to further enhance diagnostic capacity, assess treatment options and predict outcomes in rare hematological diseases.

Staff

Lead researchers

Professor Michael Boniface CEng, FIET

Professorial Fellow in Information Techn

Research interests

  • Artifical intelligence for health systems
  • Human centred interactive systems
  • Federated systems management 
Connect with Michael

Email: M.J.Boniface@soton.ac.uk

Other researchers

Dr Laura Carmichael LLB (Hons), MSc (Dist.), PhD

Research Fellow

Research interests

  • Data Governance
  • Data Sharing Models
  • Data Protection Law
Connect with Laura

Email: L.E.Carmichael@soton.ac.uk

Collaborating research institutes, centres and groups

Research outputs

Automated knowledge-based cybersecurity risk assessment of cyber-physical systems
Stephen C. Phillips, Steve Taylor, Michael Boniface, Stefano Modafferi & Mike Surridge, 2024, IEEE Access, 12, 82482-82505
DOI: 10.1109/ACCESS.2024.3404264
Type: article