Clinical Text Reports to Stratify Patients Affected with Myeloid Neoplasms Using Natural Language ProcessingGianluca Asti, Saverio D’Amico, Gianluca Carlini et al.|Blood|2023Cited by 5
Synthetic Histopathological Images Generation with Artificial Intelligence to Accelerate Research and Improve Clinical Outcomes in HematologyGianluca Asti, Matteo Giovanni Della Porta, Saverio D’Amico et al.|Blood|2023Cited by 2
The “<i>David Vs Goliath</i>” Study: Application of Large Language Models (LLM) for Automatic Medical Information Retrieval from Multiple Data Sources to Accelerate Clinical and Translational Research in HematologyMattia Delleani, Matteo Giovanni Della Porta, Elisabetta Sauta et al.|Blood|2024Cited by 1
Artificial Intelligence-Powered Digital Pathology to Improve Diagnosis and Personalized Prognostic Assessment in Patient with Myeloid NeoplasmsGianluca Asti, Matteo Giovanni Della Porta, Alessandra Crespi et al.|Blood|2024Cited by 1