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R. Perera

As seen in: Nature
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Articles by R. Perera

Deep learning and radiomics models in patients with advanced non-small cell lung cancer treated with immunotherapy combined with stereotactic radiotherapy

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By G. Kothari, N. Hardcastle, P. L. Jackson, S. Hong Lee, J. Li, C. Brown, P. Mitchell, T. Kron, S. Siva, R. Perera, J. D. Silver, M. Gaudreault, J. W. Welsh, W. S. M. E. Theelen
| Nature Verified
Abstract Quantitative imaging is an emerging field that may allow prediction of oncological outcomes. We investigate whether radiomics and deep learning can predict outcomes in metastatic non-small cell lung cancer utilizing randomized trials of PD-1 inhibitors + /− stereotactic ablative body radiotherapy: PEMBRO-RT(NCT02492568), NIVORAD(ACTRN12616000352404) and MDACC(NCT02444741).
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