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. 2024 Dec 18;15(12):1148-1152.
doi: 10.1016/j.cels.2024.11.016.

What unique insights can modeling approaches capture about the immune system?

Hao Yuan Kueh, Andreas Handel, Alexander Hoffmann, Diego Chowell, Rachel A Gottschalk, Harinder Singh, Ronald N Germain, Martin Meier-Schellersheim, Kathryn Miller-Jensen, Grégoire Altan-Bonnet

What unique insights can modeling approaches capture about the immune system?

Hao Yuan Kueh et al. Cell Syst. .
No abstract available

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Conflict of interest statement

Declaration of interests D.C. is a co-inventor on two patents related to predicting cancer immunotherapy response. The first patent (US11230599/EP4226944A3), filed by MSKCC, covers the use of tumor mutational burden for this purpose and is licensed to Personal Genome Diagnostics (PGDx). The second patent (US20240282410A1), filed jointly by Cleveland Clinic and MSKCC, describes a multi-modal machine learning model for predicting immunotherapy response and is licensed to Tempus. K.M.-J. is affiliated with Yale University.

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