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Giulia Maggioni
Observed names:
G. Maggioni,
Maggioni, Giulia
Institutions:
Humanitas University,
IRCCS Humanitas Research Hospital
Observed institutions:
Humanitas University,
King's College London,
Ministero della Salute,
Fondazione Humanitas per la Ricerca,
Istituti di Ricovero e Cura a Carattere Scientifico,
IRCCS Humanitas Research Hospital
show all 6
ORCID:
0000-0002-8652-4854
Observed ORCID:
0000-0002-8652-4854
OpenAlex ID:
A5086066293
Classification and Personalized Prognostic Assessment on the Basis of Clinical and Genomic Features in Myelodysplastic Syndromes
2021
·
Matteo Bersanelli
, Erica Travaglino
, et al.
·
Journal of Clinical Oncology
·
222
PDF
Real-World Validation of Molecular International Prognostic Scoring System for Myelodysplastic Syndromes
2023
·
Elisabetta Sauta
, Marie Robin
, et al.
·
Journal of Clinical Oncology
·
122
PDF
Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology
2023
·
Saverio D'Amico
, Daniele Dall’Olio
, et al.
·
JCO Clinical Cancer Informatics
·
95
PDF
Clinical relevance of clonal hematopoiesis in persons aged ≥80 years
2021
·
Marianna Rossi
, Manja Meggendorfer
, et al.
·
Blood
·
70
PDF
Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients With Myelodysplastic Syndromes
2024
·
Cristina Astrid Tentori
, Caterina Gregorio
, et al.
·
Journal of Clinical Oncology
·
48
A sex-informed approach to improve the personalised decision making process in myelodysplastic syndromes: a multicentre, observational cohort study
2022
·
Giulia Maggioni
, Matteo Bersanelli
, et al.
·
The Lancet Haematology
·
34
Data-driven, harmonised classification system for myelodysplastic syndromes: a consensus paper from the International Consortium for Myelodysplastic Syndromes
2024
·
Rami S Komrokji
, Luca Lanino
, et al.
·
The Lancet Haematology
·
31
PDF
The future of research in hematology: Integration of conventional studies with real-world data and artificial intelligence
2021
·
Francesco Passamonti
, Giovanni Corrao
, et al.
·
Blood Reviews
·
30
MOSAIC: An Artificial Intelligence–Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare Cancers
2024
·
Saverio D'Amico
, Lorenzo Dall’Olio
, et al.
·
JCO Clinical Cancer Informatics
·
23
Characterization and Clinical Implications of p53 Dysfunction in Patients With Myelodysplastic Syndromes
2025
·
Matteo Zampini
, Elena Riva
, et al.
·
Journal of Clinical Oncology
·
20
Response to luspatercept can be predicted and improves overall survival in the real‐life treatment of LR‐MDS
2025
·
Angela Consagra
, Luca Lanino
, et al.
·
HemaSphere
·
14
PDF
Using real-world evidence in haematology
2024
·
Francesco Passamonti
, Giovanni Corrao
, et al.
·
Best Practice & Research Clinical Haematology
·
9
An Artificial Intelligence-Based Federated Learning Platform to Boost Precision Medicine in Rare Hematological Diseases: An Initiative By GenoMed4all and Synthema Consortia
2024
·
Gianluca Asti
, Saverio D'Amico
, et al.
·
Blood
·
8
PDF
Mutations in the splicing factor SF3B1 are linked to frequent emergence of HLA-DRlow/neg monocytes in lower-risk myelodysplastic neoplasms
2024
·
Susann Winter
, Marie Schneider
, et al.
·
Leukemia
·
7
Molecular landscape of myelodysplastic neoplasms in disease classification and prognostication
2022
·
Giulia Maggioni
, Matteo G. Della Porta
·
Current Opinion in Hematology
·
7
IPSS-M risk and specific sex-associated somatic mutations predict response to ESA therapy in LR-MDS: building a new score
2025
·
Marco G. Raddi
, Sophie Park
, et al.
·
Blood
·
5
A Comprehensive, Artificial Intelligence, Digital Twin Platform Based on Multimodal Real-World Data Integration for Personalized Medicine in Hematology
2024
·
Saverio D'Amico
, Elisabetta Sauta
, et al.
·
Blood
·
5
PDF
Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Myelodysplastic Syndromes (MDS)
2023
·
Cristina Astrid Tentori
, Caterina Gregorio
, et al.
·
Blood
·
5
Molecular-Based Ecosystem to Improve Personalized Medicine in Chronic Myelomonocytic Leukemia
2026
·
Luca Lanino
, Anthony M. Hunter
, et al.
·
Journal of Clinical Oncology
·
4
PU.1-activated genomic regions define low-risk MDS subsets characterized by immune dysregulation and disease progression
2026
·
Veronica Vallelonga
, Francesco Gandolfi
, et al.
·
Blood
·
4
PDF
Clinical Text Reports to Stratify Patients Affected with Myeloid Neoplasms Using Natural Language Processing
2023
·
Gianluca Asti
, Elisabetta Sauta
, et al.
·
Blood
·
4
Real-World Validation of Molecular International Prognostic Scoring System (IPSS-M) for Myelodysplastic Syndromes
2022
·
Elisabetta Sauta
, Marie Robin
, et al.
·
Blood
·
4
Validation of ICC hierarchical classification in secondary AML
2026
·
Enrico Attardi
, Marta Cipriani
, et al.
·
Blood Advances
·
3
PDF
Longitudinal Synthetic Data Generation by Artificial Intelligence to Accelerate Clinical and Translational Research in Breast Cancer
2025
·
Elena Zazzetti
, Saverio D'Amico
, et al.
·
JCO Clinical Cancer Informatics
·
3
VAE-Surv: A novel approach for genetic-based clustering and prognosis prediction in myelodysplastic syndromes
2025
·
Cesare Rollo
, Corrado Pancotti
, et al.
·
Computer Methods and Programs in Biomedicine
·
3
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Works count:
78
Citation count:
812
H-index:
11
I10-index:
11
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