Anti-TB drugs
In our recent internal talk, Daniele Boaretti presented a study on non-linear mixed effects (NLME) modeling applied to physiologically-based pharmacokinetics (PBPK) for anti-TB drugs.
Daniele explored how combining mechanistic modeling with statistical inference helps simulate drug behavior across compartments like lungs, lesions, and caseum. The results offer a promising step forward in modeling complex ADME processes.
This work builds on the synergy of pharmacokinetics, machine learning, and open-source tools—paving the way for more predictive and personalized TB treatments.
This work contributes to COSBI’s translational modeling efforts—and to pushing the boundaries of drug development.
