Author

N. Wahl

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Preprint Oct 2026

Comparing local and global optimization reveals untapped hybrid potentials for machine learning-based inverse planning

Machine learning (ML) models for normal tissue complication probability (NTCP) can be embedded directly into inverse treatment planning, but the resulting optimization problems are generally nonconvex, and the choice between global and local optimization involves a trade-off between optimality guarantees and computatio...

T. Ortkamp, Florian Leininger, Zhong-Xing Liao et al. · 0 citations

Open access Sep 2026

Functional characterization of snoRNA-derived RNA (sdRNA) expression in healthy hematopoiesis and acute myeloid leukemia.

SDRNAs are introduced as standalone regulatory effector molecules in healthy hematopoiesis and AML and proposed and characterized NUDT21, an important regulator of alternative polyadenylation and oncogenic gene expression, as a downstream target of sd3'-SNORD78 in AML.

R. Zinz, Christian Rohde, C. Pauli et al. · Leukemia · 0 citations