AUC	Area under the concentration time curve
DeepLIFT	Deep learning important features
EM	Expectation maximization
GAN	Generative adverserial network
GP	Gaussian Process
IIV	inter-individual variation
k-NN	k-nearest neighbour
LASSO	Least absolute shrinkage and selection operator
LIME	local interpretable model agnostic explanations
LOOCV	Leave-one-out cross validation
MAR	Missing at random
MARS	Multivariate adaptive regression splines
MCAR	Missing completely at random
MICE	Multiple imputation by chained equations
ML	Machine learning
MNAR	Missing not at random
NLME	Non-linear mixed effect
ODE	Ordinary differential equation
PCA	Principal component analysis
PD	Pharmacodynamic
PK	Pharmacokinetic
SCM	Stepwise covariate modelling
SHAP	Shapley additive explanations
t-SNE	t-distributed stochastic neighbour embedding
UMAP	Uniform manifold approximation and projection
VAE	Variational autoencoder