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Antonio Russo
Observed name:
Russo, Antonio
Institution:
IRCCS Humanitas Research Hospital
Observed institutions:
Humanitas University,
Ministero della Salute,
IRCCS Ospedale San Raffaele,
Istituti di Ricovero e Cura a Carattere Scientifico,
IRCCS Humanitas Research Hospital,
Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele,
University of Calabria
show all 7
ORCID:
0000-0002-4374-6684
Observed ORCID:
0000-0002-4374-6684
OpenAlex ID:
A5101460693
NK cell recovery after haploidentical HSCT with posttransplant cyclophosphamide: dynamics and clinical implications
2017
·
Antonio Russo
, Giacomo Oliveira
, et al.
·
Blood
·
208
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
·
96
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
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
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
A Molecular-Based Ecosystem to Improve Personalized Medicine in Patients with Chronic Myelomonocytic Leukemia (CMML)
2024
·
Luca Lanino
, Anthony M. Hunter
, et al.
·
Blood
·
3
PDF
The “David Vs Goliath” Study: Application of Large Language Models (LLM) for Automatic Medical Information Retrieval from Multiple Data Sources to Accelerate Clinical and Translational Research in Hematology
2024
·
Mattia Delleani
, Saverio D'Amico
, et al.
·
Blood
·
3
PDF
Artificial-Intelligence, Data-Driven, Comprehensive Classification of Myeloid Neoplasms Based on Genomic, Morphological and Histological Features
2024
·
Luca Lanino
, Saverio D'Amico
, et al.
·
Blood
·
2
PDF
Clinical Relevance of the Integrative Analysis of Gut Microbiome and Metabolomics in Myeloid Neoplasms: Correlations with Genomic Profiles, Treatment Response/Complications and Clinical Outcome
2024
·
Alessia Campagna
, Frederick Clasen
, et al.
·
Blood
·
2
PDF
Enhancing Personalized Prognostic Assessment of Myelodysplastic Syndromes through a Multimodal and Explainable Deep Data Fusion Approach (MAGAERA)
2024
·
Elisabetta Sauta
, Flavio Sartori
, et al.
·
Blood
·
2
Artificial Intelligence-Powered Digital Pathology to Improve Diagnosis and Personalized Prognostic Assessment in Patient with Myeloid Neoplasms
2024
·
Gianluca Asti
, Nico Curti
, et al.
·
Blood
·
2
Gut Microbial Dysbiosis in Myeloid Neoplasms: Correlations with Clinical and Genomic Features
2023
·
Theo Portlock
, Alessia Campagna
, et al.
·
Blood
·
2
Synthetic Histopathological Images Generation with Artificial Intelligence to Accelerate Research and Improve Clinical Outcomes in Hematology
2023
·
Gianluca Asti
, Saverio D'Amico
, et al.
·
Blood
·
2
Real‐world, multi‐omics validation of the clinical relevance of molecular taxonomy for myelodysplastic syndromes (MDS)
2026
·
Giulia Maggioni
, Gabriele Todisco
, et al.
·
HemaSphere
·
1
Clonal Hematopoiesis and the Risk of Dementia: The Monzino 80-Plus Population-Based Study
2024
·
Alessandro Buizza
, Alessia Antonella Galbussera
, et al.
·
Blood
·
1
Generation of Multimodal Longitudinal Synthetic Data By Artificial Intelligence to Improve Personalized Medicine in Hematology
2024
·
Saverio D'Amico
, Mattia Delleani
, et al.
·
Blood
·
1
PDF
Molecular Classification of Chronic Myelomonocytic Leukemia: Results of the Analysis of an International Cohort of 2,471 Patients
2023
·
Luca Lanino
, Anthony M. Hunter
, et al.
·
Blood
·
1
PDF
REP Regimen (Rituximab, Erythropoietin and Prednisone) in the Treatment of Refractory Autoimmune Hemolytic Anemia (R-AIHA).
2008
·
Francesco Iuliano
, Massimo Di Maio
, et al.
·
Blood
·
1
Abstract 3985: MED12L: A novel player in platelet dysfunction in myeloid neoplasms
2026
·
Matteo Brindisi
, Laura Crisafulli
, et al.
·
Cancer Research
Clonal evolution and risk assessment in myelodysplastic syndromes (MDS): A prospective Study of dynamic IPSS-m validation and evolutionary trajectory modeling by the italian MDS foundation (FISIM)
2025
·
Luca Lanino
, Matteo Zampini
, et al.
·
Blood
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Works count:
36
Citation count:
618
H-index:
6
I10-index:
6
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