Avis d'expert | On board with COMET to improve omics prediction models

The performance of omics prediction models can be significantly improved by combining limited patient proteomic data with widely available electronic health records.

In personalized medicine and disease risk assessment, the power of omics-based prediction models reaches new heights when clinical features from electronic health records (EHRs) are integrated with omics datasets. By leveraging advanced AI-driven algorithms, we can significantly enhance both accuracy and robustness, paving the way for more precise diagnostics and tailored treatments.

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P. Fogel and G. Luta. In "Nature Machine Intelligence", February 12th 2025.

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