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Standardization, bias and data quality – focus on trustworthy, clinically relevant AI

Standardization, bias and data quality – focus on trustworthy, clinically relevant AI

25/09/2024 12:30

Speakers: Enrico Giampieri

Target: Patients, Health professionals, Patients organizations
Subnetworks: Myeloid malignancies, Red blood cell defects
Disease Groups: Transversal for Myeloid malignancies, Transversal for Red blood cell defects

Prof. Enrico Giampieri is a professor of Applied Physics at the university of Bologna, in the medical and surgical sciences department. He is involved in several Italian and European projects on Artificial intelligence, safe and secure data management, multi-omics data analysis for biology and medicine, with particular focus on haematological diseases' patient stratification and survival prediction.
 

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