Jean‐Baptiste Woillard

This paper develops a multiscale framework linking pharmacokinetics and Boolean models to study ibrutinib resistance in CLL, identifying key regulons and synergistic targets.

This paper develops and evaluates model ensembling and machine learning approaches to predict the first dose of amoxicillin in intensive care, finding that ensembling and ML outperform standard dosing.

This paper benchmarks synthetic data generation methods for clinical transcriptomic cancer data, finding no single method outperforms all metrics, with Gaussian Copula showing the most balanced performance.