S265: Radiomics and Artificial Intelligence for Identification and Monitoring of Silent Cerebral Infarcts in Sickle Cell Disease: First Analysis From the Genomed4all European Project

Abstract

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Challenges and Opportunities of Precision Medicine in Sickle Cell Disease: Novel European Approach by GenoMed4All Consortium and ERN-EuroBloodNet

“…In addition to “‐omics” and clinical data, for the SCD use case GenoMed4All is collecting also anonymized magnetic resonance imaging (MRI) data already available in European Centers of the ERN‐EuroBloodNet Network to improve the identification of silent cerebral infarcts (SCI) through AI models 9 . A stepwise procedure allowed the optimization of SCI identification, with distinction between SCI and non‐clinically significant background noise or other white matter hyperintensities.…”

“…In addition to “-omics” and clinical data, for the SCD use case GenoMed4All is collecting also anonymized magnetic resonance imaging (MRI) data already available in European Centers of the ERN-EuroBloodNet Network to improve the identification of silent cerebral infarcts (SCI) through AI models. 9 A stepwise procedure allowed the optimization of SCI identification, with distinction between SCI and non-clinically significant background noise or other white matter hyperintensities. Radiomics and AI will offer the opportunity to harness the potential of big data analysis to understand the natural history of SCD and optimize diagnostics for chronic complications such as SCI, while reducing variability across centers and in healthcare access.…”