Daoud Rahal

IRCCS Humanitas Research Hospital — Italy

Medicine · Health Sciences

21h-index1.8kcitations130works1.12yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(30), Pancreatic and Hepatic Oncology Research(26), AI in cancer detection(17), Lymphoma Diagnosis and Treatment(14), Neuroendocrine Tumor Research Advances(11)

Publications130 total

A FOXP3+ cell-rich microenvironment associates with better overall survival after CAR-T cell therapy in relapsed/refractory B-cell lymphoma
Cytotherapy·2025
Multicentric Castleman disease with splenic presentation: report of two rare cases with focus on histopathological features and review of the literature
Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin·2025
EUS-Elastography and Contrast in the differential diagnosis of SELs: update of an Italian multicenter study
Endoscopy·2025
Challenging the significance of SUV-based parameters in a large-scale retrospective study on lung lesions
Cancer Imaging·2024· 6 citedOpen Access
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 Hematology
Blood·2024· 1 citedOpen Access
Bendamustine in Combination with Gemcitabine and Vinorelbine As Salvage Regimen for Relapsed or Refractory Peripheral T-Cell Lymphomas: A Retrospective Single Center Experience
Blood·2024Open Access
Myelodysplastic/Myeloproliferative Neoplasms with Features Intermediate between Primary Myelofibrosis and Chronic Myelomonocytic Leukemia: Case Series and Review of the Entity
Hemato·2024Open Access
Primary cutaneous, epidermotropic mycosis fungoides-like presentation: critical appraisal and description of two novel cases, broadening the spectrum of ALK+ T-cell lymphoma
Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin·2024· 1 cited
Table S3 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Table 1 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Table 2 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Table 2 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Figure 2 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Preliminary data from a multicenter Italian study: use of EUS-Elastography and Contrast in the differential diagnosis of SELs
Endoscopy·2024· 1 cited
Data from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Figure 3 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Figure 2 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Figure 1 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Table 1 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Data from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
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Frequent Co-authors

Armando Santoro(14), Silvia Carrara(11), Massimo Roncalli(11), Alessandro Repici(9), Fabio Grizzi(8), Marco Alloisio(7), Luca Di Tommaso(7), Paola Bossi(7), Egesta Lopci(6), Luca Toschi(6), Francesco Auriemma(6), Paola Allavena(5), Federica Marchesi(5), Emanuele Voulaz(5), Milena Di Leo(5), Andrea Anderloni(5), Alessandro Fugazza(5), Angelo Castello(5), Massimo Magagnoli(5), Stefano Francesco Crinò(4)