Immunotherapy has shown great promise in the treatment of patients with advanced non-small-cell lung cancer. We show that integration of data collected during diagnostic clinical work-up with machine learning has the potential to improve predictions of response to immunotherapy and to identify the patients most likely to benefit.
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This is a summary of: Vanguri, R. S. et al. Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer. Nat. Cancer https://doi.org/10.1038/s43018-022-00416-8 (2022).
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Multimodal data integration improves immunotherapy response prediction. Nat Cancer 3, 1149–1150 (2022). https://doi.org/10.1038/s43018-022-00417-7
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DOI: https://doi.org/10.1038/s43018-022-00417-7
