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Marco Chierici

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 7

Top Venues

Cancers

PloS one

PLoS computational biology

Cancer science

Fondazione Bruno Kessler

Università degli Studi di Padova Scuola di Ingegneria (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Fondazione Bruno Kessler

Italy

Researcher :: Predictive Models for Biomedicine and Environment

Education History

Università degli Studi di Padova Scuola di Ingegneria

Italy

PHD

Publications

Francesca Minnai, Sara Noci, Marco Chierici, Chiara Elisabetta Cotroneo, Barbara Bartolini, Matteo Incarbone, Davide Tosi, Giovanni Mattioni, Giuseppe Jurman, Tommaso Antonio Dragani, Francesca Colombo
Genetic predisposition to lung adenocarcinoma outcome is a feature already present in patients' noninvolved lung tissue. Cancer science (2022)
Marco Chierici, Nicolae Puica, Matteo Pozzi, Antonello Capistrano, Marcello Dorian Donzella, Antonio Colangelo, Venet Osmani, Giuseppe Jurman
Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging. BMC medical informatics and decision making 22 (Suppl 6) (2022)
Marco Chierici, Margherita Francescatto, Nicole Bussola, Giuseppe Jurman, Cesare Furlanello
Predictability of drug-induced liver injury by machine learning. Biology direct 15 (1) (2020)
Ombretta Melaiu, Marco Chierici, Valeria Lucarini, Giuseppe Jurman, Libenzio Adrian Conti, Rita De Vito, Renata Boldrini, Loredana Cifaldi, Aurora Castellano, Cesare Furlanello, Vincenzo Barnaba, Franco Locatelli, Doriana Fruci
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural-killer cells predict prognosis of neuroblastoma. Nature communications 11 (1) (2020)
Maurizio Polano, Marco Chierici, Michele Dal Bo, Davide Gentilini, Federica Di Cintio, Lorena Baboci, David L Gibbs, Cesare Furlanello, Giuseppe Toffoli
A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning. Cancers 11 (10) (2019)
Andrea Bizzego, Nicole Bussola, Marco Chierici, Valerio Maggio, Margherita Francescatto, Luca Cima, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER. PLoS computational biology 15 (3) (2019)
Valerio Maggio, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma. PloS one 13 (12) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marco Chierici