Felix Jost
Pharmacometrician at Sanofi working in the preclinical PK/PD modeling team supporting research projects via the information gain through mathematical modeling and human dose predictions.
Session
08-12
10:45
15min
Feature based prediction of preclinical pharmacokinetic profiles using machine learning and compartmental modeling
Felix Jost
In this talk physics informed neural networks are presented to predict the plasma concentration time profiles of preclinical species and human after i.v. bolus administration. The predictions are based on the numerical representation of chemical structures or amino acid sequences and compartmental modeling is used as the physical part to describe the pharmacokinetic profiles.
Pharmaceutical Research in Julia
Room 4