Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Mattia Delleani

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|July 10, 2026
Synthetic data generation from population-based breast cancer registries: opportunities and limitations for survival analysis applicationsGiuseppe F Catanuto, Saverio D'Amico, Damiano Gentile, et al.
Annals of Surgery|August 6, 2025
Synthetic Data Generated by Artificial Intelligence to Optimize Surgical Trial DesignCaterina Foppa, Saverio D'Amico, Mattia Delleani, et al.
Journal of Crohn'S & Colitis|December 27, 2025
Treat-to-target optimization of biologic therapy is effective on endoscopic and histologic outcomes in a real-life cohort of ulcerative colitis-the TACTIC-UC studyGiuseppe Privitera, Cristina Bezzio, Arianna Dal Buono, et al.
JCO Clinical Cancer Informatics|November 6, 2025
Longitudinal Synthetic Data Generation by Artificial Intelligence to Accelerate Clinical and Translational Research in Breast CancerElena Zazzetti, Saverio D'Amico, Flavia Jacobs, et al.
Computer Methods and Programs in Biomedicine|January 28, 2025
VAE-Surv: A novel approach for genetic-based clustering and prognosis prediction in myelodysplastic syndromesCesare Rollo, Corrado Pancotti, Flavio Sartori, et al.
JCO Clinical Cancer Informatics|June 14, 2024
MOSAIC: An Artificial Intelligence-Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare CancersSaverio D'Amico, Lorenzo Dall'Olio, Cesare Rollo, et al.
The Lancet. Haematology|October 11, 2024
Data-driven, harmonised classification system for myelodysplastic syndromes: a consensus paper from the International Consortium for Myelodysplastic SyndromesRami S Komrokji, Luca Lanino, Somedeb Ball, et al.
Hemasphere|June 24, 2026
Real-world, multi-omics validation of the clinical relevance of molecular taxonomy for myelodysplastic syndromes (MDS)Giulia Maggioni, Gabriele Todisco, Elisabetta Sauta, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
European Journal of Surgical Oncology : the Journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology|July 10, 2026
Synthetic data generation from population-based breast cancer registries: opportunities and limitations for survival analysis applicationsGiuseppe F Catanuto, Saverio D'Amico, Damiano Gentile, et al.
Annals of Surgery|August 6, 2025
Synthetic Data Generated by Artificial Intelligence to Optimize Surgical Trial DesignCaterina Foppa, Saverio D'Amico, Mattia Delleani, et al.
Journal of Crohn'S & Colitis|December 27, 2025
Treat-to-target optimization of biologic therapy is effective on endoscopic and histologic outcomes in a real-life cohort of ulcerative colitis-the TACTIC-UC studyGiuseppe Privitera, Cristina Bezzio, Arianna Dal Buono, et al.
JCO Clinical Cancer Informatics|November 6, 2025
Longitudinal Synthetic Data Generation by Artificial Intelligence to Accelerate Clinical and Translational Research in Breast CancerElena Zazzetti, Saverio D'Amico, Flavia Jacobs, et al.
Computer Methods and Programs in Biomedicine|January 28, 2025
VAE-Surv: A novel approach for genetic-based clustering and prognosis prediction in myelodysplastic syndromesCesare Rollo, Corrado Pancotti, Flavio Sartori, et al.
JCO Clinical Cancer Informatics|June 14, 2024
MOSAIC: An Artificial Intelligence-Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare CancersSaverio D'Amico, Lorenzo Dall'Olio, Cesare Rollo, et al.
The Lancet. Haematology|October 11, 2024
Data-driven, harmonised classification system for myelodysplastic syndromes: a consensus paper from the International Consortium for Myelodysplastic SyndromesRami S Komrokji, Luca Lanino, Somedeb Ball, et al.
Hemasphere|June 24, 2026
Real-world, multi-omics validation of the clinical relevance of molecular taxonomy for myelodysplastic syndromes (MDS)Giulia Maggioni, Gabriele Todisco, Elisabetta Sauta, et al.
Pageof 1