It is common for the collected data to have inconsistent numbers of some classes. The data imbalance problem causes machine learning algorithms in prediction tasks to encounter serious difficulties.

In practical medical diagnosis, small sample sizes in gene expression profiling data can lead to overfitting. Addressing this, we leverage the potential of the Conditional Wasserstein Generative ...

Physiologically based pharmacokinetic (PBPK) models are increasingly used in drug discovery to prioritize compounds that meet the desired pharmacokinetic (PK) profiles. We developed a generalized PBPK ...