Chierici, Marco

Chierici, Marco  

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Titolo Anno di pubblicazione Autori Unitn File
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 1-gen-2024 Giometto, BrunoLongo, ChiaraRiello, MariannaDi Giacopo, RaffaellaChierici, MarcoMoroni, MonicaJurman, GiuseppeBincoletto, GiorgiaCampi, CristinaPiana, MicheleOsmani, Venet +
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural killer cells predict favorable clinical outcome of neuroblastoma 1-gen-2020 Marco ChiericiGiuseppe JurmanCesare Furlanello +
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER 1-gen-2019 Bizzego A.Bussola N.Chierici M.Cristoforetti M.Jurman G.Furlanello C. +
Integrating deep and radiomics features in cancer bioimaging 1-gen-2019 Bizzego A.Bussola N.Chierici M.Jurman G.Furlanello C. +
Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling 1-gen-2020 Chierici, MarcoBussola, NicoleAgostinelli, ClaudioJurman, Giuseppe +
Machine learning models for predicting endocrine disruption potential of environmental chemicals 1-gen-2019 Chierici MarcoBussola NicoleJurman GiuseppeFurlanello Cesare +
Predictability of drug-induced liver injury by machine learning 1-gen-2020 Chierici, MarcoBussola, NicoleJurman, GiuseppeFurlanello, Cesare +