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Francesco Casadei
IRCCS Istituto delle Scienze Neurologiche di Bologna, Universidad Politécnica de Madrid, University of Bologna
Research areas: Computer Science · Artificial Intelligence · Privacy-Preserving Technologies in Data · Machine Learning in Healthcare · Scientific Computing and Data Management
Employment
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IRCCS Istituto delle Scienze Neurologiche di Bologna Health Researcher2023 - 2028
Education
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Universidad Politécnica de Madrid PhD Internship2025 - 2025
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University of Bologna PhD in Health and Technology2021 - Present
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University of Bologna MSc Physics2019 - 2021
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University of Bologna Laurea in Fisica2016 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- Leveraging biased FedSDS as a federated learning strategy for research on non-IID multi-disorder studies Save
- Nanopore sequencing combined with adaptive sampling and NanoExpansion enables accurate characterization of repeat expansion disorders Save
- Combining short- and long- read sequencing with machine learning to decipher multiple deletions patterns in mitochondrial disorders Save
- Expanding the landscape of tRNA pathogenic variants in mitochondrial DNA Save
- Experimenting Federated AI Models for Hematological Diseases Save
- Quantitative dried blood spot microsampling for therapeutic drug monitoring of -antiseizure medications by design of experiment and UHPLC-MS/MS Save
- VAE-Surv: A novel approach for genetic-based clustering and prognosis prediction in myelodysplastic syndromes Save
- Emerging Signatures of Hematological Malignancies from Gene Expression and Transcription Factor-Gene Regulations Save
- Survival Model Optimization via Federated Learning: A Study Combining Simulations and Experiments Save
- An Artificial Intelligence-Based Federated Learning Platform to Boost Precision Medicine in Rare Hematological Diseases: An Initiative By GenoMed4all and Synthema Consortia Save
- Nanopore long read DNA sequencing allows for higher accuracy in brain cancer analysis Save