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Author

Alessandro Bruseghini

Observed name: A. Bruseghini
ORCID: 0009-0003-8458-1286
Observed ORCID: 0009-0003-8458-1286
OpenAlex ID: A5117577530
Molecular-Based Ecosystem to Improve Personalized Medicine in Chronic Myelomonocytic Leukemia
2026 · Luca Lanino, Anthony M. Hunter, et al. · Journal of Clinical Oncology · 5
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
Development, implementation, and validation of an open-source Federated Learning platform to accelerate innovation and boost personalized medicine in rare and ultra-rare haematological diseases: an initiative by GenoMed4All Consortium
2025 · Gianluca Asti, Patricia A. Apellaniz, et al. · medRxiv · 2
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491P Longitudinal synthetic data (SD) generation by artificial intelligence (AI) to accelerate clinical and translational research in breast cancer (BC)
2025 · F. Jacobs, S. D'Amico, et al. · ESMO Open · 1
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Synthetic data generation from population-based breast cancer registries: opportunities and limitations for survival analysis applications
2026 · Giuseppe F. Catanuto, Saverio D'Amico, et al. · European Journal of Surgical Oncology
Synthetic data generation from breast cancer patients to enable PSM on wide and multidimensional real-world populations.
2026 · Giuseppe Catanuto, Saverio D'Amico, et al. · Journal of Clinical Oncology
Emulating the NSABP B-06 trial using synthetic SEER data: A high-fidelity in silico validation of breast-conserving surgery outcomes
2026 · F. Martorana, S. D'Amico, et al. · European Journal of Cancer
Survival outcomes after breast-conserving surgery plus radiotherapy versus mastectomy in a synthetic breast cancer population: Propensity-matched and real-world validation
2026 · F. Martorana, G. Catanuto, et al. · European Journal of Cancer
AI-based, secure and privacy-preserving synthetic data generation platform in transfusion-dependent β-thalassemia applied to the Webthal® dataset
2025 · Mattia Delleani, Barbara Gianesin, et al. · Blood
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Development and validation of synthetic data generation over a federated learning computing framework to accelerate innovation and boost personalized medicine in hematological diseases
2025 · Gianluca Asti, Mattia Delleani, et al. · Blood
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Safe: A multimodal, scalable and clinically-oriented comprehensive framework for synthetic data validation in hematology
2025 · Eleonora Iascone, Mattia Delleani, et al. · Blood
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Clinical and technological validation of locally-installed, privacy-compliant, and hematology-tailored ambient AI platform for clinical report transcription assistance and clinical trial patient management
2025 · Mattia Delleani, Gianluca Asti, et al. · Blood
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Works count: 12
Citation count: 11
H-index: 2
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