Felix Jost

This paper compares predictive models for rat plasma concentration-time profiles, finding that physics-informed neural networks outperform other methods, especially with limited data.

This paper predicts pharmacokinetic profiles of monoclonal antibodies using sequence-based machine learning and compartmental modeling, achieving accurate predictions with reduced reliance on animal testing.

The paper develops and evaluates mathematical models to predict white blood cell dynamics during cytarabine treatment in AML, finding that different models yield similar accuracy and identifying a new pharmacodynamic hypothesis.