The study reveals that AI systems offer promising accuracy in predicting treatment outcomes, particularly when used to ...

The study advanced beyond a one-size-fits-all model by developing both a global XGBoost classifier and cancer-type-specific ...

A new study has used machine learning to identify the key predictors of physical activity adherence, analyzing data from nearly 12,000 individuals.

By leveraging multi-omics analysis and machine learning techniques, the research team led by Professor Shuo Wang (Institute ...