Marco Chierici

Fondazione Bruno Kessler — Italy

Medicine · Health Sciences

24h-index5.7kcitations109works2.02yr avg
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Research Topics

Neuroblastoma Research and Treatments(26), Protein Degradation and Inhibitors(17), Bioinformatics and Genomic Networks(16), Gene expression and cancer classification(12), Ubiquitin and proteasome pathways(12)

Publications109 total

Machine Learning Analysis Applied to Prediction of Early Progression Independent of Relapse Activity in Multiple Sclerosis Patients
European Journal of Neurology·2025Open Access
Mapping B cells and the immune landscape of tertiary lymphoid structures reveals their clinical impact in neuroblastoma
Journal for ImmunoTherapy of Cancer·2025Open Access
Bottlenecks in advancing and applying multiomic data integration—common data resources as rate-limiting drivers—the high-impact use case of atherosclerotic cardiovascular disease
Briefings in Bioinformatics·2025· 3 citedOpen Access
Reply to Comments on the Article "Machine Learning Predicts Risk of Falls in Parkinson's Disease Patients in a Multicenter Observational Study".
PubMed·2025Open Access
Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease
Frontiers in Aging Neuroscience·2025· 1 citedOpen Access
Toward Reliable Synthetic Omics: Statistical Distances for Generative Models Evaluation
2025· 1 citedOpen Access
Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study
European Journal of Neurology·2025· 7 citedOpen Access
Neuropsychological tests and machine learning: identifying predictors of MCI and dementia progression
Aging Clinical and Experimental Research·2025· 2 citedOpen Access
Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics
2024· 1 citedOpen Access
Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics
Briefings in Bioinformatics·2024· 3 citedOpen Access
Generative Models Validation via Manifold Recapitulation Analysis
2024· 2 citedOpen Access
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
PLoS ONE·2024· 4 citedOpen Access
Endoscopy-based IBD identification by a quantized deep learning pipeline
BioData Mining·2023Open Access
Targeted proteomics and the presence of carotid plaques in subjects at low cardiovascular disease risk
Atherosclerosis·2023Open Access
Machine Learning Applications in the Study of Parkinson’s Disease: ASystematic Review
Current Bioinformatics·2023· 4 citedOpen Access
Supplementary Figure S2 from PD-L1 Is a Therapeutic Target of the Bromodomain Inhibitor JQ1 and, Combined with HLA Class I, a Promising Prognostic Biomarker in Neuroblastoma
2023Open Access
Supplementary Figure S4 from PD-L1 Is a Therapeutic Target of the Bromodomain Inhibitor JQ1 and, Combined with HLA Class I, a Promising Prognostic Biomarker in Neuroblastoma
2023Open Access
Supplementary Figure S2 from PD-L1 Is a Therapeutic Target of the Bromodomain Inhibitor JQ1 and, Combined with HLA Class I, a Promising Prognostic Biomarker in Neuroblastoma
2023Open Access
Supplementary Figure S5 from PD-L1 Is a Therapeutic Target of the Bromodomain Inhibitor JQ1 and, Combined with HLA Class I, a Promising Prognostic Biomarker in Neuroblastoma
2023Open Access
Supplementary Figure S7 from PD-L1 Is a Therapeutic Target of the Bromodomain Inhibitor JQ1 and, Combined with HLA Class I, a Promising Prognostic Biomarker in Neuroblastoma
2023Open Access
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Frequent Co-authors

Cesare Furlanello(35), Giuseppe Jurman(27), Margherita Francescatto(9), Huixiao Hong(8), Valerio Maggio(8), Nicole Bussola(8), Peter Arner(6), Kelci Miclaus(6), Silvia C. Vega(5), Masayoshi Itoh(4), Davide Albanese(4), Paweł P. Łabaj(4), Joshua Xu(4), Wenjun Bao(4), Pierre R. Bushel(4), Binsheng Gong(4), David P. Kreil(4), Weida Tong(4), Claudio Agostinelli(4), Andrea Bizzego(4)