Integrated noninvasive diagnostics for prediction of survival in immunotherapy

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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Bibliographic Details
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
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Immuno-Oncology and Technology
Subjects:
cancer survival prediction
artificial intelligence
machine learning
integrated diagnostics
immunotherapy
longitudinal data
Online Access:http://www.sciencedirect.com/science/article/pii/S2590018824000200

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http://www.sciencedirect.com/science/article/pii/S2590018824000200

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