Nils Eling
Papers
2
Total Citations
5
H-Index
2
About
Nils Eling is a leading researcher in computational biology and bioinformatics, with a primary focus on multi-modal image analysis for large-scale cancer tissue studies. His major contributions lie in developing and applying advanced computational methods to decipher the tumor microenvironment (TME) from complex, high-dimensional imaging data. Eling’s work is central to the integrated immunoprofiling of large adaptive cancer patient cohorts (IMMUcan) consortium, where he pioneers approaches to integrate multi-modal imaging data from thousands of patients. This enables the detailed characterization of tissue architecture and its link to patient prognosis, moving beyond small patient cohorts or tissue micro-arrays to truly large-scale studies. His most-cited papers, including "Multi-modal image analysis for large scale cancer tissue studies within IMMUcan" (2025, 3 citations), highlight his role in establishing the analytical frameworks necessary for this ambitious, consortium-driven research. By enabling the systematic immunoprofiling of vast patient cohorts, Eling’s work is instrumental in translating complex imaging data into actionable insights for cancer prognosis and therapy, making him a key figure in the future of precision oncology.
Research Focus
Key Achievements
Top Papers
- 1
- 2