DC1: Charisios Triantafyllou
Determining the Molecular Patterns of Blood and Tissues in SLE
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DC2: Hindol Mazumbar
Spatial imaging histology/pathology and liquid biopsy
DC3: Emanuele Pitino
Delineating cellular interaction networks in autoimmune diseases at single-cell resolution
DC4: Adrián Barreno
Autoimmune patient heterogeneity defined by mucosal immune fingerprinting
DC5: Mehmet Serdar Koca
Functional single cell proteomics for the precision diagnosis of autoimmune diseases
DC6: Luca Leomazzi
Modelling the heterogeneity of disease progression using trajectory inference
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DC7: Giorgio Buzanca
Graph neural network analysis of spatial molecular data in systemic autoimmune disease
DC8: Iñigo Clemente
Associating deep learning with prior knowledge to predict the efficacy of targeted therapies in patients suffering autoimmune diseases
DC9: Abdul Wahab
Agent-based modelling approaches to analyse the development of autoimmune diseases. Development of an in silico trial prediction model for Clinical and molecular trajectories
DC10: Akhiya A.R.
Computational solutions for integrating different types of single cell and tissue data to stratify patients and predict treatment response in immune disorders