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Francesco Casadei

PhD Student

Department of Medical and Surgical Sciences

Academic discipline: FIS/07 Applied Physics

Research

Keywords: Federated Learning; Machine Learning; Nanopore Sequencing; Repeat Expansion Disorders; Genomics; Precision Medicine

  • Study and application of Federated Learning models to oncohematological diseases (GenoMed4All);
  • Real data management for Federated Learning experiments (Synthema);
  • Data analysis from nanopore sequencing of repeat expansion diseases and their characterization;
  • Integration of multi-omic data for repeat expansion disorders;
  • Study and analysis of structural variants in mitochondrial diseases.

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