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Tet Khuan Chen

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Articles

Multimodal machine learning integrates clinical and comorbidity data to predict breast cancer prognosis and treatment outcomes

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By Yongsheng Luo, Hai Huang, Yu Li, Tet Khuan Chen, Rana Muhammad Ehsan, Shanmugam Kamalanathan, Ngan Kuen Lai
| Flipboard
Multimodal machine learning integrates clinical and comorbidity data to predict breast cancer prognosis and treatment outcomes Breast cancer prognosis and treatment outcomes are shaped by intricate interplay between tumor biology, systemic comorbidities, and patient-reported …
Open in Who Shared Issue with article?

Multimodal machine learning integrates clinical and comorbidity data to predict breast cancer prognosis and treatment outcomes

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By Yongsheng Luo, Hai Huang, Tet Khuan Chen, Rana Muhammad Ehsan, Shanmugam Kamalanathan, Yu Li, Ngan Kuen Lai
| Nature Verified
Abstract Breast cancer prognosis and treatment outcomes are shaped by intricate interplay between tumor biology, systemic comorbidities, and patient-reported functional status. This paper introduces a framework to address critical gaps in precision oncology by systematically integrating multimodal data—including clinical parameters, comorbidity profiles, and patient-reported outcomes (PROs)—to refine prognostic stratification and therapeutic decision-making.
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