A Singapore team of clinician-scientists and researchers has developed a new tool that accurately predicts which liver cancer patients are likely to experience a recurrence after surgery. The machine-learning tool combines genetic and clinical information and was found to outperform the commonly used TNM staging system, which is based on tumor burden, across independent patient groups.
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