Ewa Szczurek
Papers
1
Total Citations
2
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About
Ewa Szczurek is a leading computational biologist whose research bridges machine learning, cancer genomics, and multi-modal imaging to decode the tumor microenvironment. Her most cited work, "Multi-modal image analysis for large-scale cancer tissue studies within IMMUcan" (2025, 2 citations), exemplifies her role in the IMMUcan consortium, where she develops integrated immunoprofiling methods to analyze multiplexed imaging data from thousands of patients. By linking spatial tissue architecture to clinical outcomes, Szczurek’s contributions enable high-resolution characterization of how immune cells and tumor cells interact, directly impacting prognostic modeling and immunotherapy design. Her broader portfolio includes pioneering probabilistic models for cancer evolution and drug response prediction, earning her recognition as a key figure in precision oncology. With a citation impact that continues to grow, Szczurek’s work empowers researchers to harness complex, large-scale datasets for actionable biological insights, making her a vital voice in the next generation of cancer systems biology.
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Top Papers
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