Active
AI in hematopoietic cell transplantation care
Clinical data science from routine care
The group writes and speaks about how AI can support transplant care and complication management, including a 2025 review with lab co-authors.
What problem are we trying to solve?
Where can computational methods support transplant and cellular-therapy care — in complication management, monitoring, and decision support — without overstating clinical readiness?
Why it matters
Transplant care is data-rich and high-stakes. Models can help, but integration, validation and regulation remain open problems, especially outside large centers.
Approach
Review (Acta Haematologica 2025), SOHO 2025 interviews, and related modeling papers on platelet demand and GVHD prediction. Public pages should stay at the level of published reviews and talks.
Who is working on it
Papers and abstracts
- Artificial Intelligence in Hematopoietic Stem Cell Transplantation Care and Complication Management Acta Haematol 2025
- Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand management Blood 2023
- A dynamic time-to-event model for prediction of acute graft-versus-host disease in patients after allogeneic hematopoietic stem cell transplantation Cancer Med 2024
- AI Agents Transforming Care in Transplantation and Cellular Therapy Clinical Lymphoma Myeloma and Leukemia (SOHO 2025) 2025 · Conference abstract