Core lab
Stefano Polizzi, PhD
Postdoc
IKIM, University Hospital Essen · IRCCS Istituto delle Scienze Neurologiche di Bologna
Bologna, Italy
Clustering, survival, and network methods for Harmony leukemia data, other hematologic malignancies, solid tumours, and microbiome kinetics.
What they study
How genetic interactions and integrated datasets, not only single-gene effects, shape disease.
How they study it
- Dirichlet clustering
- Survival analysis
- Network analysis
- Time-dependent clustering
Projects
Selected papers
- Decomposing the co-mutational landscape of NSCLC by unsupervised learning to unveil components with impact on overall survival. Journal of Clinical Oncology (ASCO Annual Meeting Abstracts) 2026
- Artificial Intelligence in Hematopoietic Stem Cell Transplantation Care and Complication Management Acta Haematol 2025 — A review of AI in transplant care and complication management, written with lab co-authors.
- Independent, international validation of the unsupervised harmony classification of Acute Myeloid Leukemia Blood (ASH Annual Meeting Abstracts) 2025 — ASH 2025 oral abstract on independent international validation of the HARMONY AML classification. Conference abstract, not a journal article.