Integrated noninvasive diagnostics for prediction of survival in immunotherapy
Background: Integrating complementary diagnostic data sources promises enhanced robustness in the predictive performance of artificial intelligence (AI) models, a crucial requirement for future clinical validation/implementation. In this study, we investigate the potential value of integrating data...
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          | Main Authors: | M. Yeghaian, Z. Bodalal, T.M. Tareco Bucho, I. Kurilova, C.U. Blank, E.F. Smit, M.S. van der Heijden, T.D.L. Nguyen-Kim, D. van den Broek, R.G.H. Beets-Tan, S. Trebeschi | 
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| Format: | Article | 
| Language: | English | 
| Published: | Elsevier
    
        2024-12-01 | 
| Series: | Immuno-Oncology and Technology | 
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590018824000200 | 
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