CASE STUDY

Predicting Patients Survivability with Liver Hepatocellular Carcinoma

Key Highlights

Hepatocellular cancer has a high mortality rate but making a prognosis is challenging.
Predicting the survival outcomes of liver cancer patients using a single type of biomedical molecular data is challenging.
Multi-omics data from Liver OmixAtlas data can be integrated to train ML models for predicting patient survivability.
Our ML model, trained on integrated multi-omics data, could predict liver cancer patient survivability with a high level of precision.

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