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

differences in the maximal plasma concentrations and in the area under the plasma concentration-time curve (AUC) values are more pronounced. Based on the rate of metabolism of CYP2C19 substrates ...

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

The following is a summary of “Early detection of cognitive impairment in end-stage renal disease patients undergoing ...

An analysis of exhaled breath, using an electronic nose, demonstrates potential for accurately detecting lung cancer in ...

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