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Biology Direct|February 15, 2020
Predictability of drug-induced liver injury by machine learningMarco Chierici, Margherita Francescatto, Nicole Bussola, et al.
Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews|January 11, 2019
Machine learning models for predicting endocrine disruption potential of environmental chemicalsMarco Chierici, Marco Giulini, Nicole Bussola, et al.
International Journal of Molecular Sciences|August 27, 2021
Quantification of the Immune Content in Neuroblastoma: Deep Learning and Topological Data Analysis in Digital PathologyNicole Bussola, Bruno Papa, Ombretta Melaiu, et al.
Chemical Research in Toxicology|August 4, 2023
A Weakly Supervised Deep Learning Framework for Whole Slide Classification to Facilitate Digital Pathology in Animal StudyNicole Bussola, Joshua Xu, Leihong Wu, et al.
Scientific Reports|February 3, 2024
AI models for automated segmentation of engineered polycystic kidney tubulesSimone Monaco, Nicole Bussola, Sara Buttò, et al.
Plos Computational Biology|March 28, 2019
Evaluating reproducibility of AI algorithms in digital pathology with DAPPERAndrea Bizzego, Nicole Bussola, Marco Chierici, et al.
Frontiers in Oncology|July 28, 2020
Integrative Network Fusion: A Multi-Omics Approach in Molecular ProfilingMarco Chierici, Nicole Bussola, Alessia Marcolini, et al.
Digestive and Liver Disease : Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver|June 9, 2024
The development of artificial intelligence in the histological diagnosis of Inflammatory Bowel Disease (IBD-AI)Cesare Furlanello, Nicole Bussola, Nicolò Merzi, et al.
American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation|April 12, 2024
Visceral Adiposity and Progression of ADPKD: A Cohort Study of Patients From the TEMPO 3:4 TrialKristen L Nowak, Federica Moretti, Nicole Bussola, et al.
Journal of Clinical Pathology|December 20, 2023
Evolving educational landscape in pathology: a comprehensive bibliometric and visual analysis including digital teaching and learning resourcesLuca Cima, Nicole Bussola, Lewis A Hassell, et al.
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