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CLEAR-IT, a framework for contrastive learning to capture the immune composition of tumor microenvironments (Communications Biology, (2026), 9, 1, (796), 10.1038/s42003-026-09984-2)

Journal Article (2026)
Author(s)

Daniel Spengler (TU Delft - Mechanical Engineering)

Serafim Korovin (TU Delft - Mechanical Engineering)

Kirti Prakash (TU Delft - Mechanical Engineering, The University of Edinburgh)

Peter Bankhead (The University of Edinburgh)

Reno Debets (Erasmus MC)

Hayri E. Balcioglu (Erasmus MC, TU Delft - Mechanical Engineering)

Carlas Smith (TU Delft - Mechanical Engineering)

Research Group
Team Carlas Smith
DOI related publication
https://doi.org/10.1038/s42003-026-10582-5 Final published version
More Info
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Publication Year
2026
Language
English
Related content
Research Group
Team Carlas Smith
Journal title
Communications Biology
Issue number
1
Volume number
9
Article number
879
Downloads counter
14
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Abstract

Correction to: Communications Biologyhttps://doi.org/10.1038/s42003-026-09984-2, published online 16 April 2026 In the version of this article initially published, there were errors in the Fig. 1g x-axis labels, where the labels currently reading “CD56” and “CD68” from left-to-right were originally interchanged. The figure is now amended in the HTML and PDF versions of the article.