A. Philip Plumb

Optimisation of the predictive ability of artificial neural network (ANN) models: A comparison of three ANN programs and four classes of training algorithm

A. Philip Plumb, R.C. Rowe, Peter York et al. · European Journal of Pharmaceutical Sciences · 2005 · 154 citations

Artificial Intelligence, Evolving Neural Network, Engineering +13

A decision-support tool for the formulation of orally active, poorly soluble compounds

Sébastien Branchu, Philippe Rogueda, A. Philip Plumb et al. · European Journal of Pharmaceutical Sciences · 2007 · 69 citations

Pharmaceutical Formulation, Medicinal Chemistry, Pharmaceutical Science +12

The effect of experimental design on the modeling of a tablet coating formulation using artificial neural networks

A. Philip Plumb, R.C. Rowe, Peter York et al. · European Journal of Pharmaceutical Sciences · 2002 · 54 citations

Engineering, Artificial Neural Networks, Experimental Design

Bridging in vitro dissolution and in vivo exposure for acalabrutinib. Part II. A mechanistic PBPK model for IR formulation comparison, proton pump inhibitor drug interactions, and administration with acidic juices

Xavier Pépin, Andrea Moir, James Mann et al. · European Journal of Pharmaceutics and Biopharmaceutics · 2019 · 49 citations

Pharmaceutical Science, Vivo Exposure, Biochemistry +7

Effect of varying optimization parameters on optimization by guided evolutionary simulated annealing (GESA) using a tablet film coat as an example formulation

A. Philip Plumb, R.C. Rowe, Peter York et al. · European Journal of Pharmaceutical Sciences · 2003 · 10 citations

Materials Science, Optimization Parameters, Tablet Film Coat +8