Giuseppe Jurman
mpba.fbk.eu
0000-0002-2705-5728
Fondazione Bruno Kessler
7 papers found
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Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study
Machine Learning Applications in the Study of Parkinson’s Disease: A Systematic Review
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma
Differential diagnosis of systemic lupus erythematosus and Sjögren's syndrome using machine learning and multi-omics data
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma
Integrating deep and radiomics features in cancer bioimaging
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER
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