Addressing the translation gap in SCT donor selection
Machine learning (ML) offers genuine promise for improving donor selection in hematopoietic stem cell transplantation (SCT), yet the gap between model development and clinical adoption remains wide. Drawing on experience from a German federally-funded translational incubation project at the Berlin I...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2026-06-01
|
| Schriftenreihe: | Frontiers in Immunology |
| Schlagworte: | |
| Online-Zugang: | https://www.frontiersin.org/articles/10.3389/fimmu.2026.1861400/full |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|